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Google Brain

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489:(GNMT) was launched, an end-to-end learning framework, able to learn from a large number of examples. Previously, Google Translate's Phrase-Based Machine Translation (PBMT) approach would statistically analyze word by word and try to match corresponding words in other languages without considering the surrounding phrases in the sentence. But rather than choosing a replacement for each individual word in the desired language, GNMT evaluates word segments in the context of the rest of the sentence to choose more accurate replacements. Compared to older PBMT models, the GNMT model scored a 24% improvement in similarity to human translation, with a 60% reduction in errors. The GNMT has also shown significant improvement for notoriously difficult translations, like 742:" and a related ultimatum she made, setting conditions to be met otherwise she would leave. This paper explored potential risks of the growth of AI such as Google Brain, including environmental impact, biases in training data, and the ability to deceive the public. The request to retract the paper was made by Megan Kacholia, vice president of Google Brain. As of April 2021, nearly 7000 current or former Google employees and industry supporters have signed an open letter accusing Google of "research censorship" and condemning Gebru's treatment at the company. 9710: 9271: 4194: 3270: 513:
brain, were able to link the corresponding parts and subsequently manipulate the audio waveform until it was transformed to English text. Another drawback of the GNMT model is that it causes the time of translation to increase exponentially with the number of words in the sentence. This caused the Google Brain Team to add 2000 more processors to ensure the new translation process would still be fast and reliable.
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to pick and throw rigid objects into selected boxes by experimenting in an environment without being pre-programmed to do so. In another research, researchers trained robots to learn behaviors such as pouring liquid from a cup; robots learned from videos of human demonstrations recorded from multiple viewpoints.
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announced his resignation from the company. Despite being Gebru's manager, Bengio was not notified before her termination, and he posted online in support of both her and Mitchell. While Bengio's announcement focused on personal growth as his reason for leaving, anonymous sources indicated to Reuters
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According to the Researchers at Google Brain, this intermediate step can be avoided using neural networks. In order for the system to learn this, they exposed it to many hours of Spanish audio together with the corresponding English text. The different layers of neural networks, replicating the human
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in a research on learning hand-eye coordination for robotic grasping. Their method allowed real-time robot control for grasping novel objects with self-correction. In 2020, researchers from Google Brain, Intel AI Lab, and UC Berkeley created an AI model for robots to learn surgery-related tasks such
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system, which extended the previous one by enabling translations between multiple languages. Furthermore, it allows for Zero-Shot Translations, which are translations between two languages that the system has never explicitly seen before. Google announced that Google Translate can now also translate
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The image sorting capabilities of Google Brain have been used to help detect certain medical conditions by seeking out patterns that human doctors may not notice to provide an earlier diagnosis. During screening for breast cancer, this method was found to have one quarter the false positive rate of
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Robotics research at Google Brain has focused mostly on improving and applying deep learning algorithms to enable robots to complete tasks by learning from experience, simulation, human demonstrations, and/or visual representations. For example, Google Brain researchers showed that robots can learn
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TensorFlow is an open source software library powered by Google Brain that allows anyone to utilize machine learning by providing the tools to train one's own neural network. The tool has been used to develop software using deep learning models that farmers use to reduce the amount of manual labor
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images to 8x8 and attempts to create mappings from the original 8x8 image to these higher-resolution ones. The other network, known as the "prior network," uses the mappings from the previous network to add more detail to the original image. The resulting translated image is not the same image in
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presented a model for automatic speaker recognition which they called Interactive Speaker Recognition. The ISR module recognizes a speaker from a given list of speakers only by requesting a few user specific words. The model can be altered to choose speech segments in the context of
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human pathologists, who require more time to look over each photo and cannot spend their entire focus on this one task. Due to the neural network's very specific training for a single task, it cannot identify other afflictions present in a photo that a human could easily spot.
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While the introduction of the GNMT has increased the quality of Google Translate's translations for the pilot languages, it was very difficult to create such improvements for all of its 103 languages. Addressing this problem, the Google Brain Team was able to develop a
9180: 293:. Other members include Katherine Heller, Pi-Chuan Chang, Ian Simon, Jean-Philippe Vert, Nevena Lazic, Anelia Angelova, Lukasz Kaiser, Carrie Jun Cai, Eric Breck, Ruoming Pang, Carlos Riquelme, Hugo Larochelle, and David Ha. 123:, a research division at Google dedicated to artificial intelligence. Formed in 2011, it combined open-ended machine learning research with information systems and large-scale computing resources. It created tools such as 529:
techniques to allow robots to learn new skills on their own. They also attempt to develop ways for information sharing between robots so that robots can learn from each other during their learning process, also known as
739: 417:(GAN), the goal of the experiment was for Alice to send an encrypted message to Bob that Bob could decrypt, but the adversary, Eve, could not. Alice and Bob maintained an advantage over Eve, in that they shared a 2225: 9057: 9331: 469:
higher resolution, but rather a 32x32 resolution estimation based on other existing high-resolution images. Google Brain's results indicate the possibility for neural networks to enhance images.
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without transcribing, using neural networks. This means that it is possible to translate speech in one language directly into text in another language, without first transcribing it to text.
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Johnson, Melvin; Schuster, Mike; Le, Quoc V.; Krikun, Maxim; Wu, Yonghui; Chen, Zhifeng; Thorat, Nikhil; Viégas, Fernanda; Wattenberg, Martin; Corrado, Greg; Hughes, Macduff (2017-10-01).
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field, and acquired the company DNNResearch Inc. headed by Hinton. Hinton said that he would be dividing his future time between his university research and his work at Google.
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Google Brain researchers have collaborated with other companies and academic institutions on robotics research. In 2016, the Google Brain Team collaborated with researchers at
3910: 9784: 3316: 9203: 2039: 6653: 5074: 2733: 2676: 2543: 1164: 5262: 2217: 9769: 5242: 726:. These articles have contained interviews with key team members Ray Kurzweil and Andrew Ng, and focus on explanations of the project's goals and applications. 921: 254:, Greg Corrado, George Dahl, Michael Isard, Anjuli Kannan, Hugo Larochelle, Chris Olah, Salih Edneer, Benoit Steiner, Vincent Vanhoucke, Vijay Vasudevan, and 9779: 6737: 4287: 9667: 9488: 8963: 9764: 9601: 9101: 2161: 1032: 738:
left Google. While the exact nature of her quitting or being fired is disputed, the cause of the departure was her refusal to retract a paper entitled "
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Cheng, Chung-Kuan, Andrew B. Kahng, Sayak Kundu, Yucheng Wang, and Zhiang Wang (Mar 2023). "Assessment of Reinforcement Learning for Macro Placement".
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Magenta is a project that uses Google Brain to create new information in the form of art and music rather than classify and sort existing data.
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Bender, Emily M.; Gebru, Timnit; McMillan-Major, Angelina; Shmitchell, Shmargaret (2021-03-03). "On the Dangers of Stochastic Parrots".
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to a resolution of 32x32. The method built upon an already existing probabilistic model called pixelCNN to generate pixel translations.
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In March 2022, Google fired AI researcher Satrajit Chatterjee after he questioned the findings of a paper published in
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Abadi, MartĂ­n; Andersen, David G. (2016). "Learning to Protect Communications with Adversarial Neural Cryptography".
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Kahng, Andrew B. (2021). "RETRACTED ARTICLE: AI system outperforms humans in designing floorplans for microchips".
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deep learning architecture was invented by Google Brain researchers in 2017, and explained in the scientific paper
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project by employing a new deep learning system that combines artificial neural networks with vast databases of
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research team that served as the sole AI branch of Google before being incorporated under the newer umbrella of
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Azalia Mirhoseini, Anna Goldie, Mustafa Yazgan (2021). "A Graph Placement Methodology for Fast Chip Design".
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United States v. Adobe Systems, Inc., Apple Inc., Google Inc., Intel Corporation, Intuit, Inc., and Pixar
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Igor L. Markov. "The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement".
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Sermanet, P.; Lynch, C.; Chebotar, Y.; Hsu, J.; Jang, E.; Schaal, S.; Levine, S.; Brain, G. (May 2018).
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The Google Brain projects' technology is currently used in various other Google products such as the
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The Google Brain project began in 2011 as a part-time research collaboration between Google fellow
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Aiming to improve traditional robotics control algorithms where new skills of a robot need to be
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Levine, Sergey; Pastor, Peter; Krizhevsky, Alex; Ibarz, Julian; Quillen, Deirdre (2018-04-01).
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makeup of translated images. The first network, known as the "conditioning network," downsizes
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Dahl, Ryan; Norouzi, Mohammad; Shlens, Jonathon (2017). "Pixel Recursive Super Resolution".
1216: 878: 758: 714: 572: 526: 494: 490: 478: 465: 450: 128: 43: 1765:"Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates" 9789: 9713: 9635: 9516: 9447: 8876: 8787: 8251: 8229: 8216: 8145: 7889: 7804: 7732: 7678: 7601: 7525: 7440: 7420: 7343: 7321: 7315: 6959: 6908: 6901: 6888: 6819: 6732: 6712: 6605: 6567: 6404: 6148: 5249: 5190: 5167: 5056: 4973: 4957: 4903: 4858: 4789: 4647: 4528: 4335: 4043: 3987: 3809: 3451: 3371: 3077: 2888: 2504: 2251: 543: 502: 482: 286: 255: 243: 211: 200: 136: 73: 5161: 1879:
Tanwani, A. K.; Sermanet, P.; Yan, A.; Anand, R.; Phielipp, M.; Goldberg, K. (May 2020).
1573:"Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation" 1108:"Former Google and Tesla Engineer Chris Lattner to Lead SiFive Platform Engineering Team" 2796: 2646: 2185: 1307: 1274: 9662: 9594: 9419: 9348: 9326: 8661: 8656: 8240: 8187: 8092: 7996: 7986: 7877: 7780: 7762: 7712: 7689: 7608: 7507: 7353: 7337: 7328: 7303: 7269: 7183: 7177: 7095: 7009: 6882: 6768: 6763: 6758: 6745: 6276: 6115: 6105: 6056: 5514: 5205: 5156: 5051: 4989: 4943: 4898: 4808: 4742: 4693: 4622: 4548: 4508: 4017: 3982: 3972: 3797: 3555: 3381: 2989: 1357:"To Learn Image Super-Resolution, Use a GAN to Learn How to do Image Degradation First" 603: 531: 457: 430: 410: 402: 239: 181: 168: 2136:"Google's Parti Generator Relies on 20 Billion Inputs to Create Photorealistic Images" 819: 801:– run by Google in collaboration with NASA and Universities Space Research Association 9758: 9338: 9321: 9211: 8914: 8861: 8758: 8753: 8390: 8319: 8299: 8204: 8170: 8139: 7954: 7831: 7826: 7743: 7623: 7590: 7569: 7360: 7348: 7194: 7089: 7074: 7016: 6925: 6895: 6722: 6591: 6549: 6281: 6264: 6207: 5618: 5151: 4920: 4835: 4784: 4764: 4726: 4652: 4573: 4568: 4543: 4470: 4454: 4449: 4437: 4421: 4383: 4260: 3962: 3942: 3859: 3538: 3137: 3037: 2024: 1995:"A Machine of Few Words: Interactive Speaker Recognition with Reinforcement Learning" 1920: 877:. ICBDE '18. Honolulu, HI, USA: Association for Computing Machinery. pp. 72–75. 693: 590:
required to sort their yield, by training it with a data set of human-sorted images.
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to enable efficient robotic automation through cloud-connected collaborative robots.
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Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
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In February 2021, Google fired one of the leaders of the company's AI ethics team,
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Judgement of the German Federal Court of Justice on Google's autocomplete function
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Seurin, Mathieu; Strub, Florian; Preux, Philippe; Pietquin, Olivier (2020-10-25).
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2018 Sixth International Symposium on Computing and Networking Workshops (CANDARW)
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Training. It can also prevent malicious voice generators from accessing the data.
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that the turmoil within the AI ethics team played a role in his considerations.
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In April 2023, Google Brain merged with Google sister company DeepMind to form
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Zeng, A.; Song, S.; Lee, J.; Rodriguez, A.; Funkhouser, T. (August 2020).
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Proceedings of the 2018 International Conference on Big Data and Education
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In October 2016, Google Brain designed an experiment to determine that
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project and became so successful that it was graduated back to Google:
1331:"Google Brain super-resolution image tech makes "zoom, enhance!" real" 661:
Google Brain announced in 2022 that it created two different types of
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Oord, Aaron Van; Kalchbrenner, Nal; Kavukcuoglu, Koray (2016-06-11).
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Helms, Mallory; Ault, Shaun V.; Mao, Guifen; Wang, Jin (2018-03-09).
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On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
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2020 IEEE International Conference on Robotics and Automation (ICRA)
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2018 IEEE International Conference on Robotics and Automation (ICRA)
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2017 IEEE International Conference on Robotics and Automation (ICRA)
1209:"Neural Cryptography Based on the Topology Evolving Neural Networks" 1023:"Google's big AI push will combine Brain and DeepMind into one team" 2753: 2700: 2637: 2007: 1955: 1893: 1835: 1777: 1730: 1589: 1429: 1369: 1298: 1265: 135:. It was merged into former Google sister company DeepMind to form 8276: 7492: 6979: 6948: 6934: 6871: 6343: 5902: 4926: 3874: 3854: 3844: 3839: 3834: 3829: 3792: 3624: 3166: 2692:
Proceedings of the 2023 International Symposium on Physical Design
2559:"Another Firing Among Google's A.I. Brain Trust, and More Discord" 697: 461: 377: 357: 309: 9058:
Umar Javeed, Sukarma Thapar, Aaqib Javeed vs. Google LLC and Ors.
2162:"Google's newest AI generator creates HD video from text prompts" 9650: 9645: 8132: 7464: 6618: 6483: 6478: 6353: 5670: 5665: 5574: 3864: 3178: 1823:"Time-Contrastive Networks: Self-Supervised Learning from Video" 94: 9291: 8945: 8438: 6513: 5461: 4300: 4222: 3298: 2840: 1624:"Google uses neural networks to translate without transcribing" 6473: 6459: 6454: 6449: 6435: 2274:"How Ray Kurzweil Will Help Google Make the Ultimate AI Brain" 1178: 719: 615: 185: 151:
and Google Researcher Greg Corrado. Google Brain started as a
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Transactions of the Association for Computational Linguistics
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Deep learning artificial intelligence research team at Google
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Google, Inc. v. American Blind & Wallpaper Factory, Inc.
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were created: Alice, Bob and Eve. Adhering to the idea of a
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Bulat, Adrian; Yang, Jing; Tzimiropoulos, Georgios (2018),
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Interactive Speaker Recognition with Reinforcement Learning
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Later in 2022, the project was extended to text-to-video.
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on this widely used architecture, but hasn't enforced it.
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Gu, S.; Holly, E.; Lillicrap, T.; Levine, S. (May 2017).
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was updated with a suite of tools for users to guide the
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Google Brain was initially established by Google Fellow
2186:"How Google Retooled Android With Help From Your Brain" 1470:"Google just made 'zoom and enhance' a reality – kinda" 159:
has said that Google Brain paid for the entire cost of
1648:
Metz, Cade; Dawson, Brian; Felling, Meg (2019-03-26).
525:, robotics researchers at Google Brain are developing 304:
Google Research includes Google Brain and is based in
2354:"Ray Kurzweil and the Brains Behind the Google Brain" 1207:
Zhu, Y.; Vargas, D. V.; Sakurai, K. (November 2018).
1000:"U of T neural networks start-up acquired by Google" 974:"A Massive Google Network Learns To Identify — Cats" 614:
struggles to perfectly replicate human intention in
9611: 9533: 9457: 9409: 9302: 9222: 9149: 9084: 9035: 8979: 8804: 8724: 8637: 8449: 8350: 8298: 7975: 7920: 7850: 7790: 7651: 7478: 7390: 7073: 6786: 6686: 6634: 6526: 6418: 6295: 6242: 6032: 5923: 5802: 5565: 5474: 5379: 5283: 5032: 4982: 4867: 4798: 4706: 4604: 4501: 4492: 4311: 4082: 4026: 3955: 3888: 3760: 3660: 3653: 3607: 3571: 3514: 3390: 3330: 3221: 3200: 3153: 3124: 3117: 3087: 3058: 3051: 3012: 2981: 2952: 2911: 2904: 2897: 2300:"Google's Grand Plan to Make Your Brain Irrelevant" 606:to create images and music. However, the team from 89: 79: 69: 61: 49: 35: 871:"An Overview of Google Brain and Its Applications" 2264: 2262: 397:Artificial-intelligence-devised encryption system 2557:Wakabayashi, Daisuke; Metz, Cade (2022-05-02). 2412:. Virtual Event Canada: ACM. pp. 610–623. 558:as suturing from training with surgery videos. 184:had successfully trained itself to recognize a 9204:Google Spain v AEPD and Mario Costeja GonzĂĄlez 2473:Change, Google Walkout For Real (2020-12-15). 1943:The International Journal of Robotics Research 922:"How Many Computers to Identify a Cat? 16,000" 188:based on 10 million digital images taken from 8957: 4234: 3310: 2852: 8: 2732:: CS1 maint: multiple names: authors list ( 2675:: CS1 maint: multiple names: authors list ( 2542:: CS1 maint: multiple names: authors list ( 1502:"Deep learning boosts Google Translate tool" 1421:International Conference on Machine Learning 1163:: CS1 maint: multiple names: authors list ( 445:In February 2017, Google Brain determined a 30: 9489:Googled: The End of the World as We Know It 2518:Dave, Jeffrey Dastin, Paresh (2021-02-04). 1650:"Inside Google's Rebooted Robotics Program" 1139:Dave, Jeffrey Dastin, Paresh (2021-04-07). 1002:(Press release). Toronto, ON. 12 March 2013 9299: 9288: 9102:Viacom International Inc. v. YouTube, Inc. 8964: 8950: 8942: 8446: 8435: 7979: 7657: 6530: 6523: 6510: 6299: 5806: 5471: 5458: 5289: 4871: 4498: 4308: 4297: 4241: 4227: 4219: 3657: 3317: 3303: 3295: 3121: 3055: 2908: 2901: 2859: 2845: 2837: 1445:"Google uses AI to sharpen low-res images" 1021:Roth, Emma; Peters, Jay (April 20, 2023). 968: 966: 964: 912: 910: 665:called Imagen and Parti that compete with 29: 9785:Defunct organizations based in California 9602:Where on Google Earth is Carmen Sandiego? 2752: 2699: 2636: 2417: 2006: 1964: 1954: 1892: 1834: 1776: 1739: 1729: 1598: 1588: 1428: 1368: 1297: 1264: 477:The Google Brain team contributed to the 789:List of artificial intelligence projects 5263:Next Lab and Audience Development Group 2829:. Retraction Watch. September 26, 2023. 2247:"This Is Google's Plan to Save YouTube" 811: 180:dedicated to mimicking some aspects of 2725: 2668: 2535: 2500: 2490: 2443: 2441: 2439: 2082:Zhavoronkov, Alex (January 23, 2023). 1988: 1986: 1984: 1325: 1323: 1321: 1319: 1317: 1250: 1248: 1202: 1200: 1198: 1156: 1134: 1132: 1130: 1128: 712:Google Brain has received coverage in 192:videos. The story was also covered by 2379: 2377: 2375: 2348: 2346: 1932: 1930: 1874: 1872: 1816: 1814: 1707: 1705: 1679: 1677: 1533: 1531: 1495: 1493: 1491: 1489: 1179:"Build for Everyone – Google Careers" 1081:Etherington, Darrell (Aug 14, 2017). 1052: 1050: 864: 862: 860: 7: 9770:2023 disestablishments in California 9739: 9719: 9093:Perfect 10, Inc. v. Amazon.com, Inc. 4155:Generative adversarial network (GAN) 3279: 2298:Wohlsen, Marcus (January 27, 2014). 946:Conor Dougherty (16 February 2015). 858: 856: 854: 852: 850: 848: 846: 844: 842: 840: 281:As of 2021, Google Brain was led by 9780:Artificial intelligence researchers 9158:Rocky Mountain Bank v. Google, Inc. 9118:Authors Guild, Inc. v. Google, Inc. 5196:Quantum Artificial Intelligence Lab 3095:Quantum Artificial Intelligence Lab 1035:from the original on April 20, 2023 799:Quantum Artificial Intelligence Lab 784:Glossary of artificial intelligence 456:The proposed software utilizes two 9134:Google LLC v. Oracle America, Inc. 9012:Rosetta Stone Ltd. v. Google, Inc. 8235:Speech Recognition & Synthesis 3241:Generative pre-trained transformer 2324:Hernandez, Daniela (May 7, 2013). 2038:Goldman, Sharon (March 20, 2024). 1538:Lewis-Kraus, Gideon (2016-12-14). 308:. It also has satellite groups in 172:reported that a cluster of 16,000 25: 9765:2011 establishments in California 9703:discontinued products or services 9668:Relationship with Knowledge (XXG) 9386:Search engine manipulation effect 6046:Android Cloud to Device Messaging 1417:"Pixel Recurrent Neural Networks" 618:, similar to the issues faced in 487:Google Neural Machine Translation 449:for converting pictures with 8x8 297:left the team in April 2021, and 9738: 9728: 9718: 9709: 9708: 9678:Stanford Digital Library Project 9561:"Google Me" (Teyana Taylor song) 9270: 9269: 5234:Submarine communications cables 4995:CNN/YouTube presidential debates 4288:List of mergers and acquisitions 4193: 4192: 4172: 3278: 3269: 3268: 226:and visiting Stanford professor 9729: 9332:2004 U.S. presidential election 9095:and A9.com Inc. and Google Inc. 5356:San Francisco tech bus protests 5334:"Ideological Echo Chamber" memo 5075:Computing University Initiative 2228:from the original on 2021-05-12 2107:Vincent, James (May 24, 2022). 700:, and video recommendations in 566:In 2020, Google Brain Team and 460:to make approximations for the 405:are capable of learning secure 9581:Matt Nathanson: Live at Google 9556:"Google Me" (Kim Zolciak song) 8996:Rescuecom Corp. v. Google Inc. 5389:Back advertisement controversy 4105:Recurrent neural network (RNN) 4095:Differentiable neural computer 2017:10.21437/interspeech.2020-2892 1903:10.1109/ICRA40945.2020.9197324 1058:"Brain Team – Google Research" 734:In December 2020, AI ethicist 415:generative adversarial network 301:took on his responsibilities. 203:, a leading researcher in the 1: 9110:Lenz v. Universal Music Corp. 5639:Federated Learning of Cohorts 5437:Slovenian government incident 4150:Variational autoencoder (VAE) 4110:Long short-term memory (LSTM) 3377:Computational learning theory 2768:Agam Shah (October 3, 2023). 1718:IEEE Transactions on Robotics 1500:Castelvecchi, Davide (2016). 230:. In 2014, the team included 9396:Site reliability engineering 9174:United States v. Google Inc. 6260:applications in biochemistry 5414:Fantastic Adventures scandal 4842:Doodle Champion Island Games 4130:Convolutional neural network 2448:Schiffer, Zoe (2021-02-19). 2160:Edwards, Benj (2022-10-05). 1379:10.1007/978-3-030-01231-1_12 409:. In this experiment, three 199:In March 2013, Google hired 9567:Is Google Making Us Stupid? 9074:United States v. Google LLC 9066:United States v. Google LLC 5874:Internet Speech Audio Codec 5268:Original Channel Initiative 4125:Multilayer perceptron (MLP) 1361:Computer Vision – ECCV 2018 779:Artificial intelligence art 133:natural language processing 9806: 9441:Google and the World Brain 6177:Programmable Search Engine 5869:Internet Low Bitrate Codec 5716:Neural Machine Translation 5229:Student Ambassador Program 5179:Objectives and key results 4201:Artificial neural networks 4115:Gated recurrent unit (GRU) 3341:Differentiable programming 2805:10.1038/d41586-021-01515-9 2655:10.1038/s41586-021-03544-w 1540:"The Great A.I. Awakening" 1221:10.1109/CANDARW.2018.00091 582: 485:texts. In September 2016, 9694: 9620:Attention Is All You Need 9427:Google: Behind the Screen 9298: 9287: 9265: 8941: 8445: 8434: 7982: 7660: 6533: 6522: 6509: 6302: 5809: 5470: 5457: 5292: 4874: 4307: 4296: 4256: 4168: 3534:Artificial neural network 3357:Automatic differentiation 3264: 3230:Attention Is All You Need 2874: 2001:. ISCA: ISCA: 4323–4327. 1845:10.1109/ICRA.2018.8462891 1787:10.1109/ICRA.2017.7989385 1514:10.1038/nature.2016.20696 690:speech recognition system 646:Attention Is All You Need 608:Valdosta State University 330:Cambridge (Massachusetts) 306:Mountain View, California 84:Mountain View, California 9775:Applied machine learning 6229:Wave Federation Protocol 5132:Get Your Business Online 3362:Neuromorphic engineering 3325:Differentiable computing 1966:10.1177/0278364917710318 1741:10.1109/TRO.2020.2988642 686:Android Operating System 266:'s programming language 9641:.app (top-level domain) 9588:The Billion Dollar Code 9166:Hibnick v. Google, Inc. 9004:Goddard v. Google, Inc. 8988:Feldman v. Google, Inc. 6339:Keyhole Markup Language 5101:Digital News Initiative 4135:Residual neural network 3551:Artificial Intelligence 2710:10.1145/3569052.3578926 2419:10.1145/3442188.3445922 883:10.1145/3206157.3206175 820:"What is Google Brain?" 117:artificial intelligence 40:Artificial intelligence 9631:Predictions of the end 9375:Illegal flower tribute 9255:Gonzalez v. Google LLC 9231:Garcia v. Google, Inc. 9141:Smartphone patent wars 8920:Tensor Processing Unit 8828:Digital media players 6358:Programming languages 6069:App Runtime for Chrome 5366:Smartphone patent wars 5307:Alphabet Workers Union 3105:Tensor Processing Unit 1887:. pp. 2174–2181. 1829:. pp. 1134–1141. 1771:. pp. 3389–3396. 9434:Google Maps Road Trip 9239:Google LLC v Defteros 9188:Joffe v. Google, Inc. 9126:Field v. Google, Inc. 9085:Intellectual property 7293:Questions and Answers 6826:Currents (social app) 5629:Exposure Notification 5419:Headquarters shooting 5086:Data Transfer Project 5081:Data Liberation Front 4090:Neural Turing machine 3678:Human image synthesis 2389:MIT Technology Review 978:National Public Radio 680:Other Google products 194:National Public Radio 18:Imagen (Google Brain) 9247:Epic Games v. Google 9196:Mosley v SARL Google 7637:Wildfire Interactive 7596:Pay (payment method) 7287:Public Data Explorer 6738:original programming 6654:most downloaded apps 6545:Green Throttle Games 6214:Tesseract (software) 6052:Android Debug Bridge 5755:Skia Graphics Engine 5431:Innocence of Muslims 5137:Google for Education 4358:software development 4271:List of Android apps 4181:Computer programming 4160:Graph neural network 3735:Text-to-video models 3713:Text-to-image models 3561:Large language model 3546:Scientific computing 3352:Statistical manifold 3347:Information geometry 1600:10.1162/tacl_a_00065 1215:. pp. 472–478. 1112:www.businesswire.com 663:text-to-image models 626:Medical applications 447:probabilistic method 407:symmetric encryption 182:human brain activity 8638:Laptops and tablets 7367:Insights for Search 7281:Personalized Search 6539:Currents (news app) 5863:Global IP Solutions 5424:Kohistan video case 5371:Worker organization 5142:Google for Startups 4882:Developer Challenge 4780:St. John's Terminal 4738:Central Saint Giles 4733:Binoculars Building 4684:Shirley M. Tilghman 4276:List of Easter eggs 3527:In-context learning 3367:Pattern recognition 3236:Future of Go Summit 2797:2021Natur.594..183K 2647:2021Natur.594..207M 2224:. 9 November 2015. 1423:. PMLR: 1747–1756. 1308:2017arXiv170200783D 1275:2016arXiv161006918A 767:integrated circuits 692:, photo search for 657:Text-to-image model 568:University of Lille 32: 9574:Proceratium google 8925:Titan Security Key 8910:Sycamore processor 8016:Arts & Culture 7560:Marketing Platform 7057:Voice Local Search 7043:Translator Toolkit 6349:Open Location Code 6317:Chrome Experiments 6171:Plugin for Eclipse 6040:American Fuzzy Lop 5211:Silicon Initiative 5020:Symphony Orchestra 4120:Echo state network 4008:JĂŒrgen Schmidhuber 3703:Facial recognition 3698:Speech recognition 3608:Software libraries 2982:In popular culture 2563:The New York Times 2503:has generic name ( 2360:. December 8, 2013 2272:(April 25, 2013). 1654:The New York Times 1544:The New York Times 1183:careers.google.com 926:The New York Times 166:In June 2012, the 9752: 9751: 9690: 9689: 9686: 9685: 9503:I'm Feeling Lucky 9482:Google Volume One 9303:Terms and phrases 9283: 9282: 8937: 8936: 8933: 8932: 8897:Pixel Visual Core 8458:Android Dev Phone 8430: 8429: 8426: 8425: 8422: 8421: 8076:Digital Wellbeing 7916: 7915: 7547:Affiliate Network 7470:Where Is My Train 7110:BeatThatQuote.com 6973:Neotonic Software 6782: 6781: 6562:PaperofRecord.com 6505: 6504: 6501: 6500: 6497: 6496: 6243:Search algorithms 6028: 6027: 5882:Gridcentric, Inc. 5475:Operating systems 5453: 5452: 5449: 5448: 5445: 5444: 5028: 5027: 4849:Magic Cat Academy 4714:111 Eighth Avenue 4702: 4701: 4612:Andy Bechtolsheim 4216: 4215: 3978:Stephen Grossberg 3951: 3950: 3292: 3291: 3217: 3216: 3113: 3112: 3047: 3046: 3008: 3007: 2898:Computer programs 2791:(7862): 183–185. 2719:978-1-4503-9978-4 2631:(7862): 207–212. 2429:978-1-4503-8309-7 2057:Maxwell, Thomas. 1912:978-1-7281-7395-5 1854:978-1-5386-3081-5 1796:978-1-5090-4633-1 1451:. 7 February 2017 1388:978-3-030-01230-4 1335:arstechnica.co.uk 1230:978-1-5386-9184-7 920:(June 25, 2012). 892:978-1-4503-6358-7 763:placement problem 747:Margaret Mitchell 696:, smart reply in 441:Image enhancement 299:Zoubin Ghahramani 291:Zoubin Ghahramani 218:Team and location 107: 106: 16:(Redirected from 9797: 9742: 9741: 9732: 9731: 9722: 9721: 9712: 9711: 9496:How Google Works 9475:The Google Story 9300: 9289: 9273: 9272: 8966: 8959: 8952: 8943: 8904:Search Appliance 8769:Virtual reality 8737:List of products 8689:Chromebook Pixel 8608:Pixel 9 Pro Fold 8447: 8436: 7980: 7757:Quick Search Box 7658: 7654:and productivity 7585:Pay (mobile app) 6728:Official channel 6531: 6524: 6511: 6444:On2 Technologies 6300: 6131:MIT App Inventor 5807: 5738:Protocol Buffers 5472: 5459: 5404:Copyright strike 5399:Copyright issues 5361:Services outages 5344:Privacy concerns 5297:2018 data breach 5290: 5106:Digital Unlocked 5091:Developer Expert 4872: 4775:Sidewalk Toronto 4689:Rachel Whetstone 4664:Patrick Pichette 4539:John L. Hennessy 4499: 4309: 4298: 4281:April Fools' Day 4243: 4236: 4229: 4220: 4206:Machine learning 4196: 4195: 4176: 3931:Action selection 3921:Self-driving car 3728:Stable Diffusion 3693:Speech synthesis 3658: 3522:Machine learning 3398:Gradient descent 3319: 3312: 3305: 3296: 3282: 3281: 3272: 3271: 3256:Google Workspace 3122: 3056: 3052:Machine learning 2909: 2902: 2861: 2854: 2847: 2838: 2831: 2830: 2823: 2817: 2816: 2780: 2774: 2773: 2765: 2759: 2758: 2756: 2744: 2738: 2737: 2731: 2723: 2703: 2687: 2681: 2680: 2674: 2666: 2640: 2620: 2614: 2613: 2611: 2610: 2587: 2581: 2580: 2578: 2577: 2554: 2548: 2547: 2541: 2533: 2531: 2530: 2515: 2509: 2508: 2502: 2498: 2496: 2488: 2486: 2485: 2470: 2464: 2463: 2461: 2460: 2445: 2434: 2433: 2421: 2405: 2399: 2398: 2396: 2395: 2381: 2370: 2369: 2367: 2365: 2350: 2341: 2340: 2338: 2336: 2321: 2315: 2314: 2312: 2310: 2295: 2289: 2288: 2286: 2284: 2266: 2257: 2256: 2243: 2237: 2236: 2234: 2233: 2214: 2208: 2207: 2205: 2204: 2182: 2176: 2175: 2173: 2172: 2157: 2151: 2150: 2148: 2146: 2131: 2125: 2124: 2122: 2120: 2104: 2098: 2097: 2095: 2094: 2079: 2073: 2072: 2070: 2069: 2063:Business Insider 2054: 2048: 2047: 2035: 2029: 2028: 2010: 1999:Interspeech 2020 1990: 1979: 1978: 1968: 1958: 1949:(4–5): 421–436. 1934: 1925: 1924: 1896: 1876: 1867: 1866: 1838: 1818: 1809: 1808: 1780: 1760: 1754: 1753: 1743: 1733: 1724:(4): 1307–1319. 1709: 1700: 1699: 1697: 1696: 1689:The Robot Report 1681: 1672: 1671: 1669: 1668: 1645: 1639: 1638: 1636: 1634: 1622:Reynolds, Matt. 1619: 1613: 1612: 1602: 1592: 1568: 1562: 1561: 1559: 1558: 1535: 1526: 1525: 1497: 1484: 1483: 1481: 1480: 1466: 1460: 1459: 1457: 1456: 1441: 1435: 1434: 1432: 1412: 1406: 1405: 1404: 1403: 1372: 1352: 1346: 1345: 1343: 1342: 1327: 1312: 1311: 1301: 1285: 1279: 1278: 1268: 1252: 1243: 1242: 1204: 1193: 1192: 1190: 1189: 1175: 1169: 1168: 1162: 1154: 1152: 1151: 1136: 1123: 1122: 1120: 1119: 1104: 1098: 1097: 1095: 1093: 1078: 1072: 1071: 1069: 1068: 1054: 1045: 1044: 1042: 1040: 1018: 1012: 1011: 1009: 1007: 996: 990: 989: 987: 985: 970: 959: 958: 956: 954: 943: 937: 936: 934: 932: 914: 905: 904: 866: 835: 834: 832: 831: 816: 649:. Google owns a 527:machine learning 479:Google Translate 473:Google Translate 433:to learn secure 129:machine learning 103: 100: 98: 96: 44:machine learning 33: 21: 9805: 9804: 9800: 9799: 9798: 9796: 9795: 9794: 9755: 9754: 9753: 9748: 9682: 9607: 9534:Popular culture 9529: 9517:The Google Book 9453: 9448:The Creepy Line 9405: 9294: 9279: 9261: 9218: 9145: 9080: 9031: 8975: 8970: 8929: 8800: 8720: 8633: 8441: 8418: 8352: 8346: 8294: 8230:Sound Amplifier 8177:Opinion Rewards 8146:Live Transcribe 7971: 7912: 7846: 7786: 7653: 7647: 7480: 7474: 7386: 7223:Knowledge Graph 7069: 6778: 6682: 6630: 6606:Typhoon Studios 6518: 6493: 6414: 6405:Webdriver Torso 6291: 6238: 6024: 5919: 5850:Cloud Messaging 5798: 5788:Web Accelerator 5711:Mobile Services 5567: 5561: 5466: 5441: 5375: 5279: 5191:Privacy Sandbox 5119:Founders' Award 5069:Business Groups 5034: 5024: 4978: 4974:Talks at Google 4916:Developers Live 4863: 4859:Material Design 4794: 4790:YouTube Theater 4698: 4648:Omid Kordestani 4600: 4529:Sanjay Ghemawat 4488: 4404:Crisis Response 4363:version history 4348:booting process 4303: 4292: 4252: 4247: 4217: 4212: 4164: 4078: 4044:Google DeepMind 4022: 3988:Geoffrey Hinton 3947: 3884: 3810:Project Debater 3756: 3654:Implementations 3649: 3603: 3567: 3510: 3452:Backpropagation 3386: 3372:Tensor calculus 3326: 3323: 3293: 3288: 3260: 3213: 3196: 3154:Language models 3149: 3109: 3083: 3059:Neural networks 3043: 3004: 2977: 2948: 2893: 2889:Google DeepMind 2870: 2865: 2835: 2834: 2825: 2824: 2820: 2782: 2781: 2777: 2767: 2766: 2762: 2746: 2745: 2741: 2724: 2720: 2689: 2688: 2684: 2667: 2622: 2621: 2617: 2608: 2606: 2590:Simonite, Tom. 2589: 2588: 2584: 2575: 2573: 2556: 2555: 2551: 2534: 2528: 2526: 2517: 2516: 2512: 2499: 2489: 2483: 2481: 2472: 2471: 2467: 2458: 2456: 2447: 2446: 2437: 2430: 2407: 2406: 2402: 2393: 2391: 2383: 2382: 2373: 2363: 2361: 2352: 2351: 2344: 2334: 2332: 2323: 2322: 2318: 2308: 2306: 2297: 2296: 2292: 2282: 2280: 2268: 2267: 2260: 2255:. 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June 26, 2012 972: 971: 962: 952: 950: 945: 944: 940: 930: 928: 916: 915: 908: 893: 868: 867: 838: 829: 827: 818: 817: 813: 808: 775: 732: 710: 682: 659: 637: 628: 610:found that the 596: 587: 581: 564: 523:hand-programmed 519: 475: 466:high-resolution 458:neural networks 443: 431:neural networks 411:neural networks 403:neural networks 399: 394: 287:Geoffrey Hinton 256:Fernanda Viegas 244:Alex Krizhevsky 220: 212:Google DeepMind 201:Geoffrey Hinton 145: 139:in April 2023. 137:Google DeepMind 93: 74:Google DeepMind 56: 28: 23: 22: 15: 12: 11: 5: 9803: 9801: 9793: 9792: 9787: 9782: 9777: 9772: 9767: 9757: 9756: 9750: 9749: 9747: 9746: 9736: 9726: 9716: 9706: 9695: 9692: 9691: 9688: 9687: 9684: 9683: 9681: 9680: 9675: 9670: 9665: 9663:Pimp My Search 9660: 9659: 9658: 9653: 9648: 9643: 9633: 9628: 9623: 9615: 9613: 9609: 9608: 9606: 9605: 9598: 9595:The Internship 9591: 9584: 9577: 9570: 9563: 9558: 9553: 9545: 9537: 9535: 9531: 9530: 9528: 9527: 9520: 9513: 9506: 9499: 9492: 9485: 9478: 9471: 9463: 9461: 9455: 9454: 9452: 9451: 9444: 9437: 9430: 9423: 9415: 9413: 9407: 9406: 9404: 9403: 9398: 9393: 9388: 9383: 9378: 9371: 9366: 9361: 9356: 9351: 9349:Google hacking 9346: 9341: 9336: 9335: 9334: 9327:Google bombing 9324: 9319: 9314: 9306: 9304: 9296: 9295: 9292: 9285: 9284: 9281: 9280: 9278: 9277: 9266: 9263: 9262: 9260: 9259: 9251: 9243: 9235: 9226: 9224: 9220: 9219: 9217: 9216: 9208: 9200: 9192: 9184: 9178: 9170: 9162: 9153: 9151: 9147: 9146: 9144: 9143: 9138: 9130: 9122: 9114: 9106: 9098: 9088: 9086: 9082: 9081: 9079: 9078: 9070: 9062: 9054: 9046: 9045:(2010–present) 9043:European Union 9039: 9037: 9033: 9032: 9030: 9029: 9024: 9016: 9008: 9000: 8992: 8983: 8981: 8977: 8976: 8971: 8969: 8968: 8961: 8954: 8946: 8939: 8938: 8935: 8934: 8931: 8930: 8928: 8927: 8922: 8917: 8912: 8907: 8900: 8893: 8886: 8885: 8884: 8879: 8874: 8872:Smart Speakers 8864: 8859: 8852: 8851: 8850: 8843: 8836: 8826: 8819: 8814: 8808: 8806: 8802: 8801: 8799: 8798: 8797: 8796: 8791: 8784: 8777: 8767: 8761: 8756: 8751: 8746: 8741: 8740: 8739: 8728: 8726: 8722: 8721: 8719: 8718: 8717: 8716: 8711: 8706: 8701: 8696: 8691: 8681: 8680: 8679: 8674: 8669: 8664: 8659: 8647: 8641: 8639: 8635: 8634: 8632: 8631: 8624: 8617: 8616: 8615: 8610: 8605: 8600: 8595: 8590: 8585: 8580: 8575: 8570: 8565: 8560: 8555: 8550: 8545: 8540: 8535: 8530: 8520: 8519: 8518: 8513: 8508: 8503: 8498: 8493: 8488: 8483: 8478: 8466: 8461: 8453: 8451: 8443: 8442: 8439: 8432: 8431: 8428: 8427: 8424: 8423: 8420: 8419: 8417: 8416: 8409: 8408: 8407: 8393: 8388: 8381: 8380: 8379: 8367: 8362: 8356: 8354: 8348: 8347: 8345: 8344: 8339: 8334: 8332:Remote Desktop 8329: 8322: 8317: 8312: 8304: 8302: 8296: 8295: 8293: 8292: 8285: 8280: 8273: 8268: 8261: 8254: 8249: 8244: 8237: 8232: 8227: 8220: 8213: 8208: 8201: 8196: 8191: 8184: 8179: 8174: 8167: 8162: 8155: 8148: 8143: 8136: 8129: 8122: 8119:Gesture Search 8115: 8110: 8105: 8100: 8095: 8093:Find My Device 8090: 8085: 8078: 8073: 8068: 8061: 8056: 8049: 8046:Building Maker 8042: 8035: 8028: 8023: 8018: 8013: 8006: 8001: 8000: 7999: 7994: 7983: 7977: 7973: 7972: 7970: 7969: 7968: 7967: 7957: 7952: 7947: 7942: 7937: 7930: 7924: 7922: 7918: 7917: 7914: 7913: 7911: 7910: 7905: 7900: 7893: 7886: 7881: 7874: 7873: 7872: 7862: 7854: 7852: 7848: 7847: 7845: 7844: 7839: 7834: 7829: 7824: 7819: 7812: 7807: 7802: 7796: 7794: 7788: 7787: 7785: 7784: 7777: 7772: 7765: 7760: 7753: 7746: 7741: 7736: 7729: 7722: 7715: 7710: 7703: 7698: 7693: 7686: 7681: 7676: 7669: 7661: 7655: 7649: 7648: 7646: 7645: 7640: 7633: 7626: 7621: 7614: 7613: 7612: 7605: 7598: 7593: 7581: 7580: 7579: 7572: 7567: 7557: 7556: 7555: 7550: 7536: 7529: 7522: 7515: 7510: 7505: 7500: 7495: 7490: 7484: 7482: 7476: 7475: 7473: 7472: 7467: 7462: 7461: 7460: 7459: 7458: 7453: 7443: 7438: 7431: 7424: 7412: 7405: 7400: 7394: 7392: 7388: 7387: 7385: 7384: 7377: 7372: 7371: 7370: 7358: 7357: 7356: 7346: 7341: 7334: 7333: 7332: 7318: 7313: 7306: 7301: 7296: 7289: 7284: 7277: 7272: 7267: 7266: 7265: 7258: 7248: 7241: 7240: 7239: 7232: 7220: 7213: 7212: 7211: 7204: 7192: 7187: 7180: 7175: 7168: 7161: 7154: 7149: 7147:Dataset Search 7144: 7139: 7132: 7131: 7130: 7120: 7113: 7106: 7099: 7092: 7087: 7079: 7077: 7071: 7070: 7068: 7067: 7060: 7053: 7048: 7047: 7046: 7034: 7027: 7020: 7013: 7006: 7005: 7004: 6990: 6983: 6976: 6969: 6962: 6957: 6952: 6945: 6938: 6931: 6930: 6929: 6922: 6912: 6905: 6898: 6893: 6892: 6891: 6886: 6879: 6869: 6862: 6855: 6852:Friend Connect 6848: 6843: 6836: 6829: 6822: 6817: 6812: 6805: 6798: 6790: 6788: 6784: 6783: 6780: 6779: 6777: 6776: 6771: 6766: 6761: 6756: 6749: 6746:YouTube Rewind 6742: 6741: 6740: 6730: 6725: 6720: 6715: 6710: 6705: 6700: 6692: 6690: 6684: 6683: 6681: 6680: 6675: 6670: 6663: 6656: 6651: 6646: 6640: 6638: 6632: 6631: 6629: 6628: 6621: 6616: 6611: 6610: 6609: 6602: 6588: 6581: 6576: 6571: 6564: 6559: 6552: 6547: 6542: 6534: 6528: 6520: 6519: 6514: 6507: 6506: 6503: 6502: 6499: 6498: 6495: 6494: 6492: 6491: 6486: 6481: 6476: 6471: 6470: 6469: 6468: 6467: 6457: 6452: 6440: 6439: 6438: 6428: 6422: 6420: 6416: 6415: 6413: 6412: 6407: 6402: 6395: 6390: 6389: 6388: 6381: 6376: 6371: 6366: 6356: 6351: 6346: 6341: 6336: 6331: 6326: 6319: 6314: 6309: 6303: 6297: 6293: 6292: 6290: 6289: 6284: 6279: 6274: 6269: 6268: 6267: 6262: 6252: 6246: 6244: 6240: 6239: 6237: 6236: 6231: 6226: 6221: 6216: 6211: 6204: 6199: 6197:Search Console 6194: 6189: 6184: 6179: 6174: 6167: 6162: 6157: 6152: 6145: 6140: 6133: 6128: 6123: 6118: 6113: 6108: 6103: 6098: 6093: 6088: 6081: 6076: 6071: 6066: 6059: 6057:Android Studio 6054: 6049: 6042: 6036: 6034: 6030: 6029: 6026: 6025: 6023: 6022: 6017: 6010: 6005: 6000: 5993: 5988: 5983: 5978: 5973: 5968: 5961: 5959:Compute Engine 5956: 5955: 5954: 5944: 5937: 5931: 5929: 5921: 5920: 5918: 5917: 5910: 5905: 5900: 5895: 5890: 5885: 5878: 5877: 5876: 5871: 5859: 5858: 5857: 5852: 5842: 5841: 5840: 5831:Cloud Platform 5828: 5823: 5816: 5810: 5804: 5800: 5799: 5797: 5796: 5791: 5784: 5779: 5774: 5769: 5764: 5757: 5752: 5747: 5740: 5735: 5730: 5723: 5718: 5713: 5708: 5703: 5698: 5693: 5688: 5683: 5678: 5673: 5668: 5663: 5656: 5651: 5646: 5641: 5636: 5631: 5626: 5621: 5616: 5611: 5606: 5601: 5596: 5595: 5594: 5582: 5577: 5571: 5569: 5563: 5562: 5560: 5559: 5552: 5547: 5546: 5545: 5540: 5530: 5529: 5528: 5523: 5518: 5511: 5504: 5499: 5494: 5489: 5478: 5476: 5468: 5467: 5462: 5455: 5454: 5451: 5450: 5447: 5446: 5443: 5442: 5440: 5439: 5434: 5426: 5421: 5416: 5411: 5406: 5401: 5396: 5391: 5385: 5383: 5377: 5376: 5374: 5373: 5368: 5363: 5358: 5353: 5352: 5351: 5341: 5336: 5331: 5326: 5319: 5314: 5309: 5304: 5299: 5293: 5287: 5281: 5280: 5278: 5277: 5272: 5271: 5270: 5265: 5260: 5258:Creator Awards 5252: 5247: 5246: 5245: 5240: 5232: 5225: 5220: 5213: 5208: 5203: 5198: 5193: 5188: 5181: 5176: 5171: 5164: 5159: 5157:Made with Code 5154: 5149: 5144: 5139: 5134: 5129: 5122: 5115: 5108: 5103: 5098: 5096:Digital Garage 5093: 5088: 5083: 5078: 5071: 5066: 5061: 5060: 5059: 5054: 5044: 5038: 5036: 5030: 5029: 5026: 5025: 5023: 5022: 5017: 5012: 5007: 5002: 4997: 4992: 4986: 4984: 4980: 4979: 4977: 4976: 4971: 4969:Summer of Code 4966: 4961: 4954: 4947: 4944:Living Stories 4940: 4935: 4930: 4923: 4918: 4913: 4906: 4901: 4896: 4895: 4894: 4889: 4884: 4875: 4869: 4865: 4864: 4862: 4861: 4856: 4855: 4854: 4853: 4852: 4845: 4828: 4827: 4826: 4821: 4816: 4811: 4802: 4800: 4796: 4795: 4793: 4792: 4787: 4782: 4777: 4772: 4767: 4762: 4757: 4752: 4745: 4743:Chelsea Market 4740: 4735: 4730: 4723: 4716: 4710: 4708: 4704: 4703: 4700: 4699: 4697: 4696: 4694:Susan Wojcicki 4691: 4686: 4681: 4676: 4671: 4666: 4661: 4655: 4650: 4645: 4640: 4635: 4633:David Drummond 4630: 4625: 4623:David Cheriton 4620: 4614: 4608: 4606: 4602: 4601: 4599: 4598: 4593: 4588: 4583: 4577: 4571: 4566: 4561: 4556: 4551: 4549:Salar Kamangar 4546: 4541: 4536: 4531: 4526: 4521: 4516: 4511: 4509:Krishna Bharat 4505: 4503: 4496: 4490: 4489: 4487: 4486: 4485: 4484: 4479: 4474: 4467: 4457: 4455:Sustainability 4452: 4447: 4446: 4445: 4435: 4430: 4425: 4418: 4417: 4416: 4411: 4406: 4396: 4391: 4386: 4381: 4380: 4379: 4367: 4366: 4365: 4360: 4355: 4350: 4340: 4339: 4338: 4333: 4321: 4315: 4313: 4305: 4304: 4301: 4294: 4293: 4291: 4290: 4285: 4284: 4283: 4273: 4268: 4263: 4257: 4254: 4253: 4248: 4246: 4245: 4238: 4231: 4223: 4214: 4213: 4211: 4210: 4209: 4208: 4203: 4190: 4189: 4188: 4183: 4169: 4166: 4165: 4163: 4162: 4157: 4152: 4147: 4142: 4137: 4132: 4127: 4122: 4117: 4112: 4107: 4102: 4097: 4092: 4086: 4084: 4080: 4079: 4077: 4076: 4071: 4066: 4061: 4056: 4051: 4046: 4041: 4036: 4030: 4028: 4024: 4023: 4021: 4020: 4018:Ilya Sutskever 4015: 4010: 4005: 4000: 3995: 3990: 3985: 3983:Demis Hassabis 3980: 3975: 3973:Ian Goodfellow 3970: 3965: 3959: 3957: 3953: 3952: 3949: 3948: 3946: 3945: 3940: 3939: 3938: 3928: 3923: 3918: 3913: 3908: 3903: 3898: 3892: 3890: 3886: 3885: 3883: 3882: 3877: 3872: 3867: 3862: 3857: 3852: 3847: 3842: 3837: 3832: 3827: 3822: 3817: 3812: 3807: 3802: 3801: 3800: 3790: 3785: 3780: 3775: 3770: 3764: 3762: 3758: 3757: 3755: 3754: 3749: 3748: 3747: 3742: 3732: 3731: 3730: 3725: 3720: 3710: 3705: 3700: 3695: 3690: 3685: 3680: 3675: 3670: 3664: 3662: 3655: 3651: 3650: 3648: 3647: 3642: 3637: 3632: 3627: 3622: 3617: 3611: 3609: 3605: 3604: 3602: 3601: 3596: 3591: 3586: 3581: 3575: 3573: 3569: 3568: 3566: 3565: 3564: 3563: 3556:Language model 3553: 3548: 3543: 3542: 3541: 3531: 3530: 3529: 3518: 3516: 3512: 3511: 3509: 3508: 3506:Autoregression 3503: 3498: 3497: 3496: 3486: 3484:Regularization 3481: 3480: 3479: 3474: 3469: 3459: 3454: 3449: 3447:Loss functions 3444: 3439: 3434: 3429: 3424: 3423: 3422: 3412: 3407: 3406: 3405: 3394: 3392: 3388: 3387: 3385: 3384: 3382:Inductive bias 3379: 3374: 3369: 3364: 3359: 3354: 3349: 3344: 3336: 3334: 3328: 3327: 3324: 3322: 3321: 3314: 3307: 3299: 3290: 3289: 3287: 3286: 3276: 3265: 3262: 3261: 3259: 3258: 3253: 3248: 3243: 3238: 3233: 3225: 3223: 3219: 3218: 3215: 3214: 3212: 3211: 3204: 3202: 3198: 3197: 3195: 3194: 3188: 3182: 3176: 3170: 3164: 3157: 3155: 3151: 3150: 3148: 3147: 3141: 3135: 3128: 3126: 3119: 3115: 3114: 3111: 3110: 3108: 3107: 3102: 3097: 3091: 3089: 3085: 3084: 3082: 3081: 3075: 3069: 3062: 3060: 3053: 3049: 3048: 3045: 3044: 3042: 3041: 3035: 3029: 3023: 3016: 3014: 3010: 3009: 3006: 3005: 3003: 3002: 2994: 2985: 2983: 2979: 2978: 2976: 2975: 2969: 2963: 2956: 2954: 2950: 2949: 2947: 2946: 2940: 2934: 2928: 2922: 2915: 2913: 2906: 2899: 2895: 2894: 2892: 2891: 2886: 2881: 2875: 2872: 2871: 2866: 2864: 2863: 2856: 2849: 2841: 2833: 2832: 2818: 2775: 2760: 2739: 2718: 2682: 2615: 2582: 2549: 2510: 2465: 2435: 2428: 2400: 2371: 2342: 2316: 2290: 2258: 2238: 2209: 2177: 2152: 2126: 2099: 2074: 2049: 2030: 1980: 1926: 1911: 1868: 1853: 1810: 1795: 1755: 1701: 1673: 1640: 1614: 1563: 1527: 1485: 1461: 1436: 1407: 1387: 1347: 1313: 1280: 1244: 1229: 1194: 1170: 1124: 1099: 1073: 1046: 1013: 991: 960: 938: 906: 891: 836: 810: 809: 807: 804: 803: 802: 796: 791: 786: 781: 774: 771: 731: 728: 709: 706: 681: 678: 658: 655: 636: 633: 627: 624: 604:neural network 595: 592: 583:Main article: 580: 577: 573:Text-To-Speech 563: 560: 532:cloud robotics 518: 515: 474: 471: 442: 439: 398: 395: 393: 390: 262:, who created 240:Ilya Sutskever 219: 216: 169:New York Times 144: 141: 105: 104: 91: 87: 86: 81: 77: 76: 71: 67: 66: 63: 59: 58: 51: 47: 46: 37: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 9802: 9791: 9788: 9786: 9783: 9781: 9778: 9776: 9773: 9771: 9768: 9766: 9763: 9762: 9760: 9745: 9737: 9735: 9727: 9725: 9717: 9715: 9707: 9704: 9700: 9697: 9696: 9693: 9679: 9676: 9674: 9671: 9669: 9666: 9664: 9661: 9657: 9654: 9652: 9649: 9647: 9644: 9642: 9639: 9638: 9637: 9634: 9632: 9629: 9627: 9624: 9621: 9617: 9616: 9614: 9610: 9604: 9603: 9599: 9597: 9596: 9592: 9590: 9589: 9585: 9583: 9582: 9578: 9576: 9575: 9571: 9569: 9568: 9564: 9562: 9559: 9557: 9554: 9552: 9550: 9546: 9544: 9543: 9539: 9538: 9536: 9532: 9526: 9525: 9521: 9519: 9518: 9514: 9512: 9511: 9507: 9505: 9504: 9500: 9498: 9497: 9493: 9491: 9490: 9486: 9484: 9483: 9479: 9477: 9476: 9472: 9470: 9469: 9465: 9464: 9462: 9460: 9456: 9450: 9449: 9445: 9443: 9442: 9438: 9436: 9435: 9431: 9429: 9428: 9424: 9422: 9421: 9417: 9416: 9414: 9412: 9411:Documentaries 9408: 9402: 9399: 9397: 9394: 9392: 9389: 9387: 9384: 9382: 9379: 9376: 9372: 9370: 9367: 9365: 9362: 9360: 9357: 9355: 9352: 9350: 9347: 9345: 9342: 9340: 9339:Google effect 9337: 9333: 9330: 9329: 9328: 9325: 9323: 9322:Google (verb) 9320: 9318: 9315: 9312: 9311:Don't be evil 9308: 9307: 9305: 9301: 9297: 9290: 9286: 9276: 9268: 9267: 9264: 9257: 9256: 9252: 9249: 9248: 9244: 9241: 9240: 9236: 9233: 9232: 9228: 9227: 9225: 9221: 9214: 9213: 9212:Frank v. Gaos 9209: 9206: 9205: 9201: 9198: 9197: 9193: 9190: 9189: 9185: 9182: 9179: 9176: 9175: 9171: 9168: 9167: 9163: 9160: 9159: 9155: 9154: 9152: 9148: 9142: 9139: 9136: 9135: 9131: 9128: 9127: 9123: 9120: 9119: 9115: 9112: 9111: 9107: 9104: 9103: 9099: 9096: 9094: 9090: 9089: 9087: 9083: 9076: 9075: 9071: 9068: 9067: 9063: 9060: 9059: 9055: 9052: 9051: 9047: 9044: 9041: 9040: 9038: 9034: 9028: 9025: 9022: 9021: 9017: 9014: 9013: 9009: 9006: 9005: 9001: 8998: 8997: 8993: 8990: 8989: 8985: 8984: 8982: 8978: 8974: 8967: 8962: 8960: 8955: 8953: 8948: 8947: 8944: 8940: 8926: 8923: 8921: 8918: 8916: 8913: 8911: 8908: 8906: 8905: 8901: 8899: 8898: 8894: 8892: 8891: 8887: 8883: 8880: 8878: 8875: 8873: 8870: 8869: 8868: 8865: 8863: 8862:Liquid Galaxy 8860: 8858: 8857: 8853: 8849: 8848: 8844: 8842: 8841: 8837: 8835: 8834: 8830: 8829: 8827: 8825: 8824: 8820: 8818: 8815: 8813: 8810: 8809: 8807: 8803: 8795: 8792: 8790: 8789: 8785: 8783: 8782: 8778: 8776: 8775: 8771: 8770: 8768: 8765: 8762: 8760: 8759:Pixel Watch 3 8757: 8755: 8754:Pixel Watch 2 8752: 8750: 8747: 8745: 8742: 8738: 8735: 8734: 8733: 8730: 8729: 8727: 8723: 8715: 8712: 8710: 8707: 8705: 8702: 8700: 8697: 8695: 8692: 8690: 8687: 8686: 8685: 8682: 8678: 8675: 8673: 8670: 8668: 8665: 8663: 8660: 8658: 8655: 8654: 8653: 8652: 8648: 8646: 8643: 8642: 8640: 8636: 8630: 8629: 8625: 8623: 8622: 8618: 8614: 8611: 8609: 8606: 8604: 8601: 8599: 8596: 8594: 8591: 8589: 8586: 8584: 8581: 8579: 8576: 8574: 8571: 8569: 8566: 8564: 8561: 8559: 8556: 8554: 8551: 8549: 8546: 8544: 8541: 8539: 8536: 8534: 8531: 8529: 8526: 8525: 8524: 8521: 8517: 8514: 8512: 8509: 8507: 8504: 8502: 8499: 8497: 8494: 8492: 8489: 8487: 8484: 8482: 8479: 8477: 8474: 8473: 8472: 8471: 8467: 8465: 8462: 8460: 8459: 8455: 8454: 8452: 8448: 8444: 8437: 8433: 8415: 8414: 8410: 8406: 8405: 8401: 8400: 8399: 8398: 8394: 8392: 8389: 8387: 8386: 8382: 8378: 8377: 8373: 8372: 8371: 8368: 8366: 8363: 8361: 8358: 8357: 8355: 8349: 8343: 8340: 8338: 8335: 8333: 8330: 8328: 8327: 8323: 8321: 8320:Dinosaur Game 8318: 8316: 8313: 8311: 8310: 8306: 8305: 8303: 8301: 8297: 8291: 8290: 8286: 8284: 8281: 8279: 8278: 8274: 8272: 8269: 8267: 8266: 8265:URL Shortener 8262: 8260: 8259: 8255: 8253: 8250: 8248: 8245: 8243: 8242: 8238: 8236: 8233: 8231: 8228: 8226: 8225: 8221: 8219: 8218: 8214: 8212: 8211:Safe Browsing 8209: 8207: 8206: 8202: 8200: 8197: 8195: 8192: 8190: 8189: 8185: 8183: 8182:Person Finder 8180: 8178: 8175: 8173: 8172: 8168: 8166: 8163: 8161: 8160: 8156: 8154: 8153: 8149: 8147: 8144: 8142: 8141: 8137: 8135: 8134: 8130: 8128: 8127: 8123: 8121: 8120: 8116: 8114: 8111: 8109: 8106: 8104: 8101: 8099: 8096: 8094: 8091: 8089: 8086: 8084: 8083: 8079: 8077: 8074: 8072: 8069: 8067: 8066: 8062: 8060: 8057: 8055: 8054: 8050: 8048: 8047: 8043: 8041: 8040: 8036: 8034: 8033: 8029: 8027: 8026:Authenticator 8024: 8022: 8019: 8017: 8014: 8012: 8011: 8007: 8005: 8002: 7998: 7995: 7993: 7990: 7989: 7988: 7985: 7984: 7981: 7978: 7974: 7966: 7963: 7962: 7961: 7958: 7956: 7955:Toontastic 3D 7953: 7951: 7948: 7946: 7943: 7941: 7938: 7936: 7935: 7931: 7929: 7926: 7925: 7923: 7919: 7909: 7906: 7904: 7901: 7899: 7898: 7894: 7892: 7891: 7887: 7885: 7882: 7880: 7879: 7875: 7871: 7868: 7867: 7866: 7863: 7861: 7860: 7856: 7855: 7853: 7849: 7843: 7840: 7838: 7835: 7833: 7830: 7828: 7825: 7823: 7820: 7818: 7817: 7816:Fusion Tables 7813: 7811: 7808: 7806: 7803: 7801: 7798: 7797: 7795: 7793: 7789: 7783: 7782: 7778: 7776: 7773: 7771: 7770: 7766: 7764: 7761: 7759: 7758: 7754: 7752: 7751: 7747: 7745: 7742: 7740: 7737: 7735: 7734: 7730: 7728: 7727: 7723: 7721: 7720: 7716: 7714: 7711: 7709: 7708: 7704: 7702: 7699: 7697: 7694: 7692: 7691: 7687: 7685: 7682: 7680: 7677: 7675: 7674: 7670: 7668: 7667: 7663: 7662: 7659: 7656: 7650: 7644: 7641: 7639: 7638: 7634: 7632: 7631: 7627: 7625: 7622: 7620: 7619: 7615: 7611: 7610: 7606: 7604: 7603: 7599: 7597: 7594: 7592: 7589: 7588: 7587: 7586: 7582: 7578: 7577: 7573: 7571: 7570:Looker Studio 7568: 7566: 7563: 7562: 7561: 7558: 7554: 7551: 7549: 7548: 7544: 7543: 7542: 7541: 7537: 7535: 7534: 7530: 7528: 7527: 7523: 7521: 7520: 7516: 7514: 7511: 7509: 7506: 7504: 7501: 7499: 7496: 7494: 7491: 7489: 7486: 7485: 7483: 7477: 7471: 7468: 7466: 7463: 7457: 7454: 7452: 7449: 7448: 7447: 7444: 7442: 7439: 7437: 7436: 7432: 7430: 7429: 7425: 7423: 7422: 7418: 7417: 7416: 7413: 7411: 7410: 7406: 7404: 7401: 7399: 7396: 7395: 7393: 7389: 7383: 7382: 7378: 7376: 7373: 7369: 7368: 7364: 7363: 7362: 7359: 7355: 7352: 7351: 7350: 7347: 7345: 7342: 7340: 7339: 7335: 7331: 7330: 7326: 7325: 7324: 7323: 7319: 7317: 7314: 7312: 7311: 7307: 7305: 7302: 7300: 7297: 7295: 7294: 7290: 7288: 7285: 7283: 7282: 7278: 7276: 7273: 7271: 7268: 7264: 7263: 7259: 7257: 7254: 7253: 7252: 7249: 7247: 7246: 7242: 7238: 7237: 7233: 7231: 7230: 7226: 7225: 7224: 7221: 7219: 7218: 7214: 7210: 7209: 7205: 7203: 7202: 7201:Image Labeler 7198: 7197: 7196: 7193: 7191: 7188: 7186: 7185: 7181: 7179: 7176: 7174: 7173: 7169: 7167: 7166: 7162: 7160: 7159: 7155: 7153: 7150: 7148: 7145: 7143: 7140: 7138: 7137: 7133: 7129: 7126: 7125: 7124: 7121: 7119: 7118: 7114: 7112: 7111: 7107: 7105: 7104: 7100: 7098: 7097: 7093: 7091: 7088: 7086: 7085: 7081: 7080: 7078: 7076: 7072: 7066: 7065: 7061: 7059: 7058: 7054: 7052: 7049: 7045: 7044: 7040: 7039: 7038: 7035: 7033: 7032: 7028: 7026: 7025: 7021: 7019: 7018: 7014: 7012: 7011: 7007: 7003: 7002: 6998: 6997: 6996: 6995: 6991: 6989: 6988: 6984: 6982: 6981: 6977: 6975: 6974: 6970: 6968: 6967: 6963: 6961: 6958: 6956: 6953: 6951: 6950: 6946: 6944: 6943: 6939: 6937: 6936: 6932: 6928: 6927: 6923: 6921: 6918: 6917: 6916: 6913: 6911: 6910: 6906: 6904: 6903: 6899: 6897: 6894: 6890: 6887: 6885: 6884: 6880: 6878: 6875: 6874: 6873: 6870: 6868: 6867: 6863: 6861: 6860: 6856: 6854: 6853: 6849: 6847: 6844: 6842: 6841: 6837: 6835: 6834: 6830: 6828: 6827: 6823: 6821: 6818: 6816: 6813: 6811: 6810: 6806: 6804: 6803: 6799: 6797: 6796: 6792: 6791: 6789: 6787:Communication 6785: 6775: 6772: 6770: 6767: 6765: 6762: 6760: 6757: 6755: 6754: 6750: 6748: 6747: 6743: 6739: 6736: 6735: 6734: 6731: 6729: 6726: 6724: 6721: 6719: 6716: 6714: 6711: 6709: 6706: 6704: 6701: 6699: 6698: 6694: 6693: 6691: 6689: 6685: 6679: 6676: 6674: 6671: 6669: 6668: 6664: 6662: 6661: 6657: 6655: 6652: 6650: 6647: 6645: 6642: 6641: 6639: 6637: 6633: 6627: 6626: 6622: 6620: 6617: 6615: 6612: 6608: 6607: 6603: 6601: 6600: 6596: 6595: 6594: 6593: 6589: 6587: 6586: 6582: 6580: 6579:Santa Tracker 6577: 6575: 6572: 6570: 6569: 6565: 6563: 6560: 6558: 6557: 6553: 6551: 6550:Owlchemy Labs 6548: 6546: 6543: 6541: 6540: 6536: 6535: 6532: 6529: 6527:Entertainment 6525: 6521: 6517: 6512: 6508: 6490: 6487: 6485: 6482: 6480: 6477: 6475: 6472: 6466: 6463: 6462: 6461: 6458: 6456: 6453: 6451: 6448: 6447: 6446: 6445: 6441: 6437: 6434: 6433: 6432: 6429: 6427: 6424: 6423: 6421: 6417: 6411: 6408: 6406: 6403: 6401: 6400: 6396: 6394: 6391: 6387: 6386: 6382: 6380: 6377: 6375: 6372: 6370: 6367: 6365: 6364: 6360: 6359: 6357: 6355: 6352: 6350: 6347: 6345: 6342: 6340: 6337: 6335: 6332: 6330: 6327: 6325: 6324: 6320: 6318: 6315: 6313: 6310: 6308: 6305: 6304: 6301: 6298: 6294: 6288: 6285: 6283: 6280: 6278: 6275: 6273: 6270: 6266: 6263: 6261: 6258: 6257: 6256: 6253: 6251: 6248: 6247: 6245: 6241: 6235: 6232: 6230: 6227: 6225: 6222: 6220: 6217: 6215: 6212: 6210: 6209: 6205: 6203: 6200: 6198: 6195: 6193: 6190: 6188: 6185: 6183: 6180: 6178: 6175: 6173: 6172: 6168: 6166: 6163: 6161: 6158: 6156: 6153: 6151: 6150: 6146: 6144: 6143:Native Client 6141: 6139: 6138: 6137:Mashup Editor 6134: 6132: 6129: 6127: 6124: 6122: 6119: 6117: 6114: 6112: 6109: 6107: 6104: 6102: 6101:Data Protocol 6099: 6097: 6094: 6092: 6091:Closure Tools 6089: 6087: 6086: 6082: 6080: 6077: 6075: 6072: 6070: 6067: 6065: 6064: 6060: 6058: 6055: 6053: 6050: 6048: 6047: 6043: 6041: 6038: 6037: 6035: 6031: 6021: 6018: 6016: 6015: 6011: 6009: 6006: 6004: 6001: 5999: 5998: 5994: 5992: 5989: 5987: 5984: 5982: 5979: 5977: 5974: 5972: 5969: 5967: 5966: 5962: 5960: 5957: 5953: 5950: 5949: 5948: 5945: 5943: 5942: 5938: 5936: 5933: 5932: 5930: 5928: 5927: 5922: 5916: 5915: 5911: 5909: 5906: 5904: 5901: 5899: 5896: 5894: 5891: 5889: 5886: 5884: 5883: 5879: 5875: 5872: 5870: 5867: 5866: 5865: 5864: 5860: 5856: 5853: 5851: 5848: 5847: 5846: 5843: 5839: 5838: 5834: 5833: 5832: 5829: 5827: 5824: 5822: 5821: 5817: 5815: 5812: 5811: 5808: 5805: 5801: 5795: 5792: 5790: 5789: 5785: 5783: 5780: 5778: 5775: 5773: 5770: 5768: 5765: 5763: 5762: 5758: 5756: 5753: 5751: 5748: 5746: 5745: 5741: 5739: 5736: 5734: 5731: 5729: 5728: 5724: 5722: 5719: 5717: 5714: 5712: 5709: 5707: 5704: 5702: 5699: 5697: 5694: 5692: 5689: 5687: 5684: 5682: 5679: 5677: 5674: 5672: 5669: 5667: 5664: 5662: 5661: 5657: 5655: 5652: 5650: 5647: 5645: 5642: 5640: 5637: 5635: 5632: 5630: 5627: 5625: 5622: 5620: 5617: 5615: 5612: 5610: 5607: 5605: 5602: 5600: 5597: 5593: 5592: 5588: 5587: 5586: 5583: 5581: 5578: 5576: 5573: 5572: 5570: 5564: 5558: 5557: 5553: 5551: 5548: 5544: 5541: 5539: 5536: 5535: 5534: 5531: 5527: 5524: 5522: 5519: 5517: 5516: 5512: 5510: 5509: 5505: 5503: 5500: 5498: 5495: 5493: 5490: 5488: 5485: 5484: 5483: 5480: 5479: 5477: 5473: 5469: 5465: 5460: 5456: 5438: 5435: 5433: 5432: 5429:Reactions to 5427: 5425: 5422: 5420: 5417: 5415: 5412: 5410: 5407: 5405: 5402: 5400: 5397: 5395: 5392: 5390: 5387: 5386: 5384: 5382: 5378: 5372: 5369: 5367: 5364: 5362: 5359: 5357: 5354: 5350: 5347: 5346: 5345: 5342: 5340: 5337: 5335: 5332: 5330: 5327: 5325: 5324: 5320: 5318: 5315: 5313: 5310: 5308: 5305: 5303: 5302:2018 walkouts 5300: 5298: 5295: 5294: 5291: 5288: 5286: 5282: 5276: 5273: 5269: 5266: 5264: 5261: 5259: 5256: 5255: 5253: 5251: 5248: 5244: 5241: 5239: 5236: 5235: 5233: 5231: 5230: 5226: 5224: 5221: 5219: 5218: 5214: 5212: 5209: 5207: 5204: 5202: 5199: 5197: 5194: 5192: 5189: 5187: 5186: 5182: 5180: 5177: 5175: 5172: 5170: 5169: 5165: 5163: 5160: 5158: 5155: 5153: 5152:Liquid Galaxy 5150: 5148: 5145: 5143: 5140: 5138: 5135: 5133: 5130: 5128: 5127: 5123: 5121: 5120: 5116: 5114: 5113: 5109: 5107: 5104: 5102: 5099: 5097: 5094: 5092: 5089: 5087: 5084: 5082: 5079: 5077: 5076: 5072: 5070: 5067: 5065: 5062: 5058: 5055: 5053: 5050: 5049: 5048: 5045: 5043: 5040: 5039: 5037: 5031: 5021: 5018: 5016: 5013: 5011: 5008: 5006: 5003: 5001: 4998: 4996: 4993: 4991: 4988: 4987: 4985: 4981: 4975: 4972: 4970: 4967: 4965: 4962: 4960: 4959: 4955: 4953: 4952: 4948: 4946: 4945: 4941: 4939: 4936: 4934: 4931: 4929: 4928: 4924: 4922: 4921:Doodle4Google 4919: 4917: 4914: 4912: 4911: 4910:Developer Day 4907: 4905: 4902: 4900: 4897: 4893: 4892:Developer Lab 4890: 4888: 4887:Developer Day 4885: 4883: 4880: 4879: 4877: 4876: 4873: 4870: 4866: 4860: 4857: 4851: 4850: 4846: 4844: 4843: 4839: 4838: 4837: 4834: 4833: 4832: 4829: 4825: 4822: 4820: 4817: 4815: 4812: 4810: 4807: 4806: 4804: 4803: 4801: 4797: 4791: 4788: 4786: 4785:YouTube Space 4783: 4781: 4778: 4776: 4773: 4771: 4768: 4766: 4765:Mayfield Mall 4763: 4761: 4758: 4756: 4753: 4751: 4750: 4746: 4744: 4741: 4739: 4736: 4734: 4731: 4729: 4728: 4724: 4722: 4721: 4717: 4715: 4712: 4711: 4709: 4705: 4695: 4692: 4690: 4687: 4685: 4682: 4680: 4677: 4675: 4672: 4670: 4667: 4665: 4662: 4659: 4656: 4654: 4653:Paul Otellini 4651: 4649: 4646: 4644: 4641: 4639: 4636: 4634: 4631: 4629: 4626: 4624: 4621: 4618: 4615: 4613: 4610: 4609: 4607: 4603: 4597: 4594: 4592: 4589: 4587: 4584: 4581: 4578: 4575: 4574:Sundar Pichai 4572: 4570: 4569:Rick Osterloh 4567: 4565: 4562: 4560: 4557: 4555: 4552: 4550: 4547: 4545: 4542: 4540: 4537: 4535: 4532: 4530: 4527: 4525: 4522: 4520: 4517: 4515: 4512: 4510: 4507: 4506: 4504: 4500: 4497: 4495: 4491: 4483: 4480: 4478: 4477:Social impact 4475: 4472: 4471:Me at the zoo 4468: 4466: 4463: 4462: 4461: 4458: 4456: 4453: 4451: 4450:Sidewalk Labs 4448: 4444: 4441: 4440: 4439: 4436: 4434: 4431: 4429: 4426: 4424: 4423: 4419: 4415: 4412: 4410: 4409:Public Alerts 4407: 4405: 4402: 4401: 4400: 4397: 4395: 4392: 4390: 4387: 4385: 4382: 4378: 4377: 4373: 4372: 4371: 4368: 4364: 4361: 4359: 4356: 4354: 4353:recovery mode 4351: 4349: 4346: 4345: 4344: 4341: 4337: 4334: 4332: 4331: 4327: 4326: 4325: 4322: 4320: 4317: 4316: 4314: 4310: 4306: 4299: 4295: 4289: 4286: 4282: 4279: 4278: 4277: 4274: 4272: 4269: 4267: 4264: 4262: 4261:Alphabet Inc. 4259: 4258: 4255: 4251: 4244: 4239: 4237: 4232: 4230: 4225: 4224: 4221: 4207: 4204: 4202: 4199: 4198: 4191: 4187: 4184: 4182: 4179: 4178: 4175: 4171: 4170: 4167: 4161: 4158: 4156: 4153: 4151: 4148: 4146: 4143: 4141: 4138: 4136: 4133: 4131: 4128: 4126: 4123: 4121: 4118: 4116: 4113: 4111: 4108: 4106: 4103: 4101: 4098: 4096: 4093: 4091: 4088: 4087: 4085: 4083:Architectures 4081: 4075: 4072: 4070: 4067: 4065: 4062: 4060: 4057: 4055: 4052: 4050: 4047: 4045: 4042: 4040: 4037: 4035: 4032: 4031: 4029: 4027:Organizations 4025: 4019: 4016: 4014: 4011: 4009: 4006: 4004: 4001: 3999: 3996: 3994: 3991: 3989: 3986: 3984: 3981: 3979: 3976: 3974: 3971: 3969: 3966: 3964: 3963:Yoshua Bengio 3961: 3960: 3958: 3954: 3944: 3943:Robot control 3941: 3937: 3934: 3933: 3932: 3929: 3927: 3924: 3922: 3919: 3917: 3914: 3912: 3909: 3907: 3904: 3902: 3899: 3897: 3894: 3893: 3891: 3887: 3881: 3878: 3876: 3873: 3871: 3868: 3866: 3863: 3861: 3860:Chinchilla AI 3858: 3856: 3853: 3851: 3848: 3846: 3843: 3841: 3838: 3836: 3833: 3831: 3828: 3826: 3823: 3821: 3818: 3816: 3813: 3811: 3808: 3806: 3803: 3799: 3796: 3795: 3794: 3791: 3789: 3786: 3784: 3781: 3779: 3776: 3774: 3771: 3769: 3766: 3765: 3763: 3759: 3753: 3750: 3746: 3743: 3741: 3738: 3737: 3736: 3733: 3729: 3726: 3724: 3721: 3719: 3716: 3715: 3714: 3711: 3709: 3706: 3704: 3701: 3699: 3696: 3694: 3691: 3689: 3686: 3684: 3681: 3679: 3676: 3674: 3671: 3669: 3666: 3665: 3663: 3659: 3656: 3652: 3646: 3643: 3641: 3638: 3636: 3633: 3631: 3628: 3626: 3623: 3621: 3618: 3616: 3613: 3612: 3610: 3606: 3600: 3597: 3595: 3592: 3590: 3587: 3585: 3582: 3580: 3577: 3576: 3574: 3570: 3562: 3559: 3558: 3557: 3554: 3552: 3549: 3547: 3544: 3540: 3539:Deep learning 3537: 3536: 3535: 3532: 3528: 3525: 3524: 3523: 3520: 3519: 3517: 3513: 3507: 3504: 3502: 3499: 3495: 3492: 3491: 3490: 3487: 3485: 3482: 3478: 3475: 3473: 3470: 3468: 3465: 3464: 3463: 3460: 3458: 3455: 3453: 3450: 3448: 3445: 3443: 3440: 3438: 3435: 3433: 3430: 3428: 3427:Hallucination 3425: 3421: 3418: 3417: 3416: 3413: 3411: 3408: 3404: 3401: 3400: 3399: 3396: 3395: 3393: 3389: 3383: 3380: 3378: 3375: 3373: 3370: 3368: 3365: 3363: 3360: 3358: 3355: 3353: 3350: 3348: 3345: 3343: 3342: 3338: 3337: 3335: 3333: 3329: 3320: 3315: 3313: 3308: 3306: 3301: 3300: 3297: 3285: 3277: 3275: 3267: 3266: 3263: 3257: 3254: 3252: 3249: 3247: 3244: 3242: 3239: 3237: 3234: 3231: 3227: 3226: 3224: 3220: 3209: 3206: 3205: 3203: 3199: 3192: 3189: 3186: 3183: 3180: 3177: 3174: 3171: 3168: 3165: 3162: 3159: 3158: 3156: 3152: 3145: 3142: 3139: 3136: 3133: 3130: 3129: 3127: 3123: 3120: 3118:Generative AI 3116: 3106: 3103: 3101: 3098: 3096: 3093: 3092: 3090: 3086: 3079: 3076: 3073: 3070: 3067: 3064: 3063: 3061: 3057: 3054: 3050: 3039: 3038:AlphaGeometry 3036: 3033: 3030: 3027: 3024: 3021: 3018: 3017: 3015: 3011: 3000: 2999: 2995: 2992: 2991: 2987: 2986: 2984: 2980: 2973: 2970: 2967: 2964: 2961: 2958: 2957: 2955: 2951: 2944: 2941: 2938: 2935: 2932: 2929: 2926: 2923: 2920: 2917: 2916: 2914: 2910: 2907: 2903: 2900: 2896: 2890: 2887: 2885: 2882: 2880: 2877: 2876: 2873: 2869: 2862: 2857: 2855: 2850: 2848: 2843: 2842: 2839: 2828: 2822: 2819: 2814: 2810: 2806: 2802: 2798: 2794: 2790: 2786: 2779: 2776: 2771: 2764: 2761: 2755: 2750: 2743: 2740: 2735: 2729: 2721: 2715: 2711: 2707: 2702: 2697: 2693: 2686: 2683: 2678: 2672: 2664: 2660: 2656: 2652: 2648: 2644: 2639: 2634: 2630: 2626: 2619: 2616: 2605: 2601: 2597: 2593: 2586: 2583: 2572: 2568: 2564: 2560: 2553: 2550: 2545: 2539: 2525: 2521: 2514: 2511: 2506: 2494: 2480: 2476: 2469: 2466: 2455: 2451: 2444: 2442: 2440: 2436: 2431: 2425: 2420: 2415: 2411: 2404: 2401: 2390: 2386: 2380: 2378: 2376: 2372: 2359: 2355: 2349: 2347: 2343: 2331: 2327: 2320: 2317: 2305: 2301: 2294: 2291: 2279: 2275: 2271: 2265: 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Index

Imagen (Google Brain)
Artificial intelligence
machine learning
Andrew Ng
Google DeepMind
Mountain View, California
ai.google/brain-team/
deep learning
artificial intelligence
Google AI
TensorFlow
machine learning
natural language processing
Google DeepMind
Jeff Dean
Google X
Astro Teller
Google X
New York Times
processors
computers
human brain activity
cat
YouTube
National Public Radio
Geoffrey Hinton
deep learning
Google DeepMind
Jeff Dean
Andrew Ng

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