926:, recently there are a number of editors saying that NCORP is irrelevant and that "somehow" (without ever explaining) NCORP places "additional" restrictions/criteria on which references may be used to establish notability. This is rubbish and should be stomped on when uttered at AfD. NCORP provides explanations and insight into how to correctly interpret the exact same criteria contained in GNG. From what I've seen, editors complaining about SNG have difficulty interpreting the meaning of "Independent". It appears to me that many editors assume (incorrectly) that "Independent" only refers to the publisher being an independent organization to the company - which of course is incorrect. "Independent" (whether is GNG or NCORP) also refers to the requirement for "Independent Content" - all of which is clarified/explained in NCORP. If you believe that NCORP goes too far in some respect, then the correct course of action is to either take it to the appropriate Talk page, or in the alternative to explain here at the AfD which parts of NCORP you believe contradict GNG. Without such explanation there is a chance of your !vote being ignored by the closer.
1895:
sounds like you are saying is that, if a reporter does an exclusive interview, and then the reporter provides independent analysis as part of the same article, then the entire article is a primary source. However, I think it's often worthwhile to look at an article on a per-paragraph basis to establish what information from the article is primary-sourced, and what information is secondary-sourced. When you click next to Cunard's "Sources with quotes" box, you'll see that Cunard has provided an excerpt of this article. The excerpt is drawing on the thinking of an independent analyst, Phil Magney, who (to my knowledge) is unaffiliated with DeepScale and is quoted in various EE Times articles on autonomous driving that are unrelated to DeepScale (e.g.
1978:(2) Take a look at these two passages from Cunard's excerpt of the CNET article: "The startup focuses on computer vision and not on lidar, which many other companies and automakers bank out to give their self-driving car prototypes the gift of sight." and "DeepScale's approach to autonomy fits the bigger picture Musk has promoted for a few years now. Rather than relying on lidar, Musk has consistently believed cameras, radar and ultrasonic sensors will make up a robust system without other hardware." This sounds like independent analysis to me. The journalist is analyzing and synthesizing ideas from multiple sources here, and I think it fits the definition of
1738:—It appears this company was set up to develop software to the end of being acquired, which it was. I'm feeling this article should be dissolved into the Tesla article and one or more articles on the evolution / development of perceptive systems rather than having a stand alone article. Sorry, folks - I do usually come here to argue for preservation of articles, but in this case, I think that "dissolution" is a better solution = take those citations and ensure that they support content in other appropriate articles. This means the aticle gets deleted, but the content gets incorporated elsewhere. --User:Ceyockey (
525:. Could you clarify what other company information you are looking for? Once I hear back from you, I will investigate whether there are references for the types of information that you would like to include. In the mean time, I suggest looking at the following reference. The title of the reference is related to the acquisition, but the reference presents some information on the history of the company, including its people, tech, and product. So far as I can tell, the reference is not based on the journalist interviewing someone from the company.
2063:. The key test is for "Independent Content" that is *clearly* attributable to a source unaffiliated to the subject. You then point out that Phil Magney from VSI provides independent comments and these comments are therefore from a source unaffiliated with the company. I've done some checking and this does appear to be the case. On that basis, I've revised my !vote since there are now multiple sources that meet the criteria for establishing notability. Thanks again.
753:, from the above, I still don't think you understand the emphasis I place on references that meet the criteria for establishing notability. You say that the organization should be notable for "something". I agree. The *only* standard that I look for are references - and those references must meet the criteria for establishing notability. To date, I have yet to see *any* such references - that is, a reference that is
266:
recent coverage is on the topic of the acquisition. That said, the acquisition news drowns out what looks like some fairly in-depth coverage on the technology that DeepScale developed in sensor fusion and deep neural networks that fit on small devices. I think the main flaw, really, is that EETimes seems to be have been the main source coverage for a number of DeepScale's technology and product updates.
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ECUs, in them, to working with smaller more powerful computers for perception. But you have all these little sensors, lidar, radar, ultrasound, and each one brings its own view of the world. There’s a really interesting opportunity here for DeepScale to pull everything together and use info from all those sensors to make computer vision accurate and efficient.”
492:(apologies for not formatting this reference properly... I am typing on mobile right now). As an aside, there are now over a dozen articles on the acquisition (mostly real journalism, not just reprinting a press release). An other user seemed against these (at the top of this page), but I imagine they would contribute something to the subject's notability.
566:
investigation, and fact checking that are clearly attributable to a source unaffiliated to the subject.". Your reference above, for example, appears to not to have any independent opinion/analysis/investigation/etc and refers to other articles which are entirely based on interviews, company or affiliated announcements, etc.
828:(1) On no inherited notability, I hear you. Alas, I did not state my point above with sufficient precision. What I meant is that DeepScale's acquisition (irrespective of the acquirer) is something notable, because it was covered by multiple secondary sources, who did independent research, analysis, and fact-checking.
1975:(1) To my knowledge, there wasn't an announcement of the acquisition. It appears that CNBC did some investigative journalism to figure out that the acquisition happened and found sources to confirm the acquisition. If that's not independent investigation, analysis, and fact-checking, I don't know what is.
2021:
I think it's often worthwhile to look at an article on a per-paragraph basis to establish what information from the article is primary-sourced, and what information is secondary-sourced. When you click next to Cunard's "Sources with quotes" box, you'll see that Cunard has provided an excerpt of this
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HighKing: An examination of the sources provided by Cunard above. Just to point out that references that are based entirely on company announcements, funding announcements and interviews usually fail the criteria for establishing notability because they do not contain any "Independent
Content" which
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An examination of the sources provided by Cunard above. Just to point out that references that are based entirely on company announcements, funding announcements and interviews usually fail the criteria for establishing notability because they do not contain any "Independent
Content" which is defined
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DeepScale's approach to autonomy fits the bigger picture Musk has promoted for a few years now. Rather than relying on lidar, Musk has consistently believed cameras, radar and ultrasonic sensors will make up a robust system without other hardware. Powering it all is a new artificial intelligence chip
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In order to achieve that, DeepScale relied on deep neural networks, or multi-layered networks that use mathematics and other sophisticated technology to crunch data and deliver real-world information, to create what it called "squeezing A.I.." The "squeezing" means that its technology would use fewer
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are all entirely based on the announcement that the company was being acquired by Tesla. All reference the CNBC announcement and the CEO's LinkedIn "announcement". The information about the company is clearly attributable to a source affiliated with the company and there is no "Independent
Content".
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Tesla did not comment on the reported purchase, though CNBC also reported DeepScale CEO Forrest
Iandola made a curious announcement on LinkedIn. On the social media network, Iandola confirmed he joined Tesla as a senior staff machine learning scientist. CNBC's sources familiar with the deal reported
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DeepScale’s seed investors included: Bessemer
Venture Partners, Greylock, Auto Tech Ventures, Andy Bechtolsheim (who was the first investor in Google) and Jerry Yang. A partner with BVP, Alex Ferrara, said, “Cars are moving from systems today where they have a large number of small computers, called
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First off, “Today, most sensor fusion applications fuse the object data, not the raw data,” Magney stressed. Further, in most cases, smart sensors produce object data within the sensors, while other sensors send raw data to the main processor — where objects are produced before it is ingested into
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104gli: Cunard reproduced an excerpt that I believe is independent analysis: "DeepScale is competing for a share of this burgeoning market versus some 800-lb. gorillas in automotive tech, like
Mobileye, now owned by Intel, or Bosch, but also other funded startups like Comma.ai, Argo and Drive.ai,
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104gli: When you say, "A simple way of thinking about it is that if the journalist does not provide any of their own input in terms of opinion/analysis/investigation/etc and only parrots what either the company itself or others who are linked to the company have said, then the article fails," it
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DeepScale focuses on improving the speed and efficiency of convolutional neural networks, drawing on
Iandola's past work as a computer science graduate student. The company's techniques will be particularly helpful to Tesla. Tesla is relying heavily on machine learning techniques to achieve full
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DeepScale has developed a way to use efficient deep neural networks on small, low-cost, automotive-grade sensors and processors to improve the accuracy of perception systems. These perception systems, which use sensors, mapping, planning and control systems to interpret and classify data in real
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Thanks for taking the time to review this page. I also feel strongly that
Knowledge should be limited to well-verified content about topics of sufficiently high notability. Whether this page meets the standards is an open question and is worthy of the community's review. I agree that most of the
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which helps you understand what is required for an "independent source". The reference must be functionally independent and must be content independent. From ORDIND: "Independent content, in order to count towards establishing notability, must include original and independent opinion, analysis,
1468:
The deal could help Tesla’s goal to deliver cars with advanced driver-assistance systems that are good enough for owners to rent them out as “robotaxis” on an Uber-like platform without drivers. However, like all automakers, Tesla is limited by the computational resources it can build into its
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Nonetheless presence of "awards and recognition" in obscure hole in the wall startup is a hint of promotional activity. News outlets regularly announce well established A acquires B, with brief description of the bread crumb "B" being acquired. In this case, the subject of article doesn't have
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DeepScale is competing for a share of this burgeoning market versus some 800-lb. gorillas in automotive tech, like
Mobileye, now owned by Intel, or Bosch, but also other funded startups like Comma.ai, Argo and Drive.ai, which are trying another approach of building their own, fully autonomous
1628:
An acquisition would make sense. Elon Musk has stressed his belief that Tesla can rely on cameras for autonomy, rather than the bulky LiDAR units many others use. If that's going to happen, Tesla will need self-driving AI that can recognize a wide variety of road objects in less-than-ideal
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DeepScale’s technology was designed to help automakers use low-wattage processors, which are standard in most cars, to power very accurate computer vision. These processors work with sensors, mapping, planning and control systems, to allow cars to make sense of what’s going on around
1521:
Since it's still early days and Tesla hasn't discussed its plans for DeepScale, so difficult to know for sure how DeepScale will find its way into the electric automaker's technology. But there are clues based on what DeepScale was working on and what
Iandola posted to his LinkedIn
619:
After reviewing references and searching online, I cannot locate sufficient references that meet the criteria for establishing notability. Existing references appear to be based on announcements or research from the company or connected companies, inclusion in "Top 10" type lists,
2059:. No, the opposite. If a reporter provides independent analysis/etc then the article meets the criteria for establishing notability regardless of whether the article is based on an exclusive interview or not. To go further, for me this is the primary criteria along with
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A simple way of thinking about it is that if the journalist does not provide any of their own input in terms of opinion/analysis/investigation/etc and only parrots what either the company itself or others who are linked to the company have said, then the article fails.
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A simple way of thinking about it is that if the journalist does not provide any of their own input in terms of opinion/analysis/investigation/etc and only parrots what either the company itself or others who are linked to the comapny have said, then the article fails.
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Artificial intelligence and building fully autonomous driving systems can be expensive. By reducing resource-load, DeepScale's technology could have ultimately reduced costs and allowed more car makers at all levels—from high-line to budget—to implement self-driving
644:. I agree, because While EETimes is a reliable source for the information presented, it is an "electronics industry magazine" which I would argue is a "limited interest" thus is a light weight in consideration of establishing general notability for organization per
1595:
Until the buyout, DeepScale had raised three venture capital rounds, including a $ 15 million series A last April led by Steve Cohen’s private investment fund Point72 and Siemens-backed venture fund next47, a $ 3 million seed round in 2017 and an angel round in
1425:
Tesla  has acquired DeepScale, a Silicon Valley startup that uses low-wattage processors to power more accurate computer vision, in a bid to improve its Autopilot driver assistance system and deliver on CEO Elon Musk’s vision to turn its electric vehicles into
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CNBC reported Tuesday that Tesla has fully acquired a tech startup company called DeepScale. The startup focuses on computer vision and not on lidar, which many other companies and automakers bank out to give their self-driving car prototypes the gift of
2022:
article. The excerpt is drawing on the thinking of an independent analyst, Phil Magney, who (to my knowledge) is unaffiliated with DeepScale and is quoted in various EE Times articles on autonomous driving that are unrelated to DeepScale (e.g.
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Now part of the Tesla Autopilot team, DeepScale was previously a Silicon Valley startup with $ 18.5 million in venture funding that was attempting to develop artificial intelligence technology for fully autonomous self-driving
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Leaning strongly to a Keep as the Deletes do not seem to be challenging the specific RS being listed by the Keeps (e.g. one-by-one); try a re-list to see if the Deletes can successfully refute them, otherwise, strong lean to
1875:
Independent content, in order to count towards establishing notability, must include original and independent opinion, analysis, investigation, and fact checking that are clearly attributable to a source unaffiliated to the
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Independent content, in order to count towards establishing notability, must include original and independent opinion, analysis, investigation, and fact checking that are clearly attributable to a source unaffiliated to the
398:
Following the suggestion above, I shortened the history section to focus on the technology, and cleaned up some other less-than-relevant links. I do not think that in the current state it would have been nominated.
1986:
that calls for secondary sources to have especially interesting analyses, and in my opinion the journalists' analyses aren't especially interesting, but I think most of Cunard's excerpts do meet the criteria for
419:, are there any particular references that you believe meet the criteria for establishing notability? None of the references in the article meet GNG/NCORP and I note that the two EE Times references above fail
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Does it have significant coverage? The concept of no-inherited notability is applicable here and the recognition of the acquiring company doesn't weigh i on the notability scale. And "Awards and recognition"s
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Phil Magney, founder and principal advisor for Vision Systems Intelligence (VSI), called DeepScale’s approach “very contemporary,” representing “the latest thinking in applying AI to automated driving.”
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In addition, there are sources that discuss the company's products and its corporate partnerships, but these sources appear to rely on interviews with company personnel (making them primary sources per
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as they rely almost entirely on interviews with people connected with the company. I am unable to locate any satisfactory references but I recall at previous times you located good references.
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488:'s note, here is a reference that appeared just this week on DeepScale's technology. It is not the most high-brow source, but it is not an interview with someone close to the company:
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1721:. The Tesla acquisition just gets it over the line in terms of notability, but I could see this comping up for deletion at a later point to be merged into the Tesla article.--
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Tesla developed in-house. The chip, detailed this past April, uses minimal power for operation and takes in an absolute massive load of information from the hardware package.
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Resolved. There was an edit while I was trying to follow up to 4meter4 while Lightburst was also working on the page and I guess his edit accidentally got cancelled out.
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726:. This organization seems to be notable for its research and technology and for its acquisition by Tesla. This is not uncommon -- for example, my understanding is that
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if a reporter does an exclusive interview, and then the reporter provides independent analysis as part of the same article, then the entire article is a primary source
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This is analysis from Vision Systems Intelligence, a technology research company. The article also includes quotes from Forrest Iandola, DeepScale's CEO.
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2055:. For me the key point above is that Phil Magnet is unaffiliated and is an analyst. Just to clarify - you say that it appears that I'm saying -
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1530:"Tesla just bought an AI startup to improve Autopilot—here's what it does. We talked to DeepScale CEO Forrest Iandola about his work last year"
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1208:"Tesla just bought an AI startup to improve Autopilot—here's what it does. We talked to DeepScale CEO Forrest Iandola about his work last year"
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so that business owners and marketing and public relations professionals are discouraged form slipping in pages with promotional interest.
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time, are essential to the operation of autonomous vehicles. In short, these systems allow vehicles to understand the world around them.
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that an organization has to be notable for a specific category of thing (say, a product), so long as the organization is notable for
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resources to identify obstacles around a vehicle and inform the car's on-board computer to keep the vehicle and its passengers safe.
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There are multiple sources that provide Independent Content and meet the criteria for establishing notability, passes GNG/NCORP.
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Tesla is acquiring DeepScale, a computer vision start-up that could help it develop fully driverless vehicles, CNBC has learned.
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How does the DeepScale approach — using raw data to train the neural network — differ from other sensor-fusion methodologies?
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appears to be a summary of other articles in other sources and also fails by not containing any Independent Content, fails
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appears to be a summary of other articles in other sources and also fails by not containing any Independent Content, fails
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Two sources confirmed to CNBC that Tesla had bought DeepScale “outright,” but were unable to disclose the specific terms.
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This discussion is maturing nicely, and we seem to be getting down to the core of the matter now. As I understand it...
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self-driving capabilities without the lidar sensors or high-definition maps being used by most of Tesla's competitors.
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1982:. Several of the other excerpts that Cunard provided do this as well. So far as I can tell, there is nothing in
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There's nothing about the *company* in that article though. The article is discussing the technology only.
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which are trying another approach of building their own, fully autonomous vehicles or retrofit systems."
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695:-source references in the following areas: (1) research and technology, and (2) acquisition by Tesla.
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quotations/interviews with people connected to the company and primary sources. Topic fails GNG and
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applies here. The awards and recognition aren't being used in the case to establish notability.
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back saying it wasn't a single hire and that Tesla has, in fact, purchased the startup outright.
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1441:"Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars"
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1159:"Tesla is buying computer vision start-up DeepScale in a quest to create truly driverless cars"
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I've simply gone through these discussions before and I was pointing out to where you can see
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I've simply gone through these discussions before and I was pointing out to where you can see
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The following discussion is an archived debate of the proposed deletion of the article below.
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Subsequent comments should be made on the appropriate discussion page (such as the article's
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Check your edit- My !vote was erased. I guess i will put it back. Please do not erase votes.
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Subsequent comments should be made on the appropriate discussion page (such as the article's
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https://www.thedrive.com/tech/30122/tesla-beefs-up-autonomy-effort-with-deepscale-acqui-hire
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797:) 15:22, 28 October 2019 (UTC) Also, see how TechCrunch article may not add to notability.
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1481:"Why Tesla Quietly Acquired DeepScale, a Machine Learning Startup That's 'Squeezing' A.I."
1183:"Why Tesla Quietly Acquired DeepScale, a Machine Learning Startup That's 'Squeezing' A.I."
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are all entirely based on the announcement that the company was being acquired by Tesla.
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1637:"Tesla reportedly buys machine-learning startup DeepScale for self-driving car tech"
1284:"Tesla reportedly buys machine-learning startup DeepScale for self-driving car tech"
1566:"Tesla Just Quietly Acquired a 4-Year-Old Startup to Fill Its Autopilot Talent Gap"
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1234:"Tesla Just Quietly Acquired a 4-Year-Old Startup to Fill Its Autopilot Talent Gap"
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https://towardsdatascience.com/what-is-the-technology-behind-deepscale-b40f05fe7423
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Here is where HighKing and I seem to have a difference in our interpretation of
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1364:"DeepScale raises $ 3 million for perception AI to make self-driving cars safe"
1111:"DeepScale raises $ 3 million for perception AI to make self-driving cars safe"
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for definition of Independent Content). If you have a reference, post it here.
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conditions. A buyout like this could bring it one step closer to that reality.
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the fusion engine, he explained. Magney called such an approach “late fusion.”
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which says the same thing. This is so you and anyone can see it themselves.
801:. EEtimes seems to be an issue with a rather specialized and narrow range of
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which says the same thing. This is so you and anyone can see it themselves.
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1401:"Tesla acquires computer vision startup DeepScale in push toward robotaxis"
1135:"Tesla acquires computer vision startup DeepScale in push toward robotaxis"
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Company lacks in-depth news sources to establish its notability, fails
52:. After the third re-list, a consensus formed that it meets GNG/NCORP
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1604:"Tesla reportedly buys AI startup that helps self-driving cars see"
1260:"Tesla reportedly buys AI startup that helps self-driving cars see"
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is based on their announcement of raising seed finance and fails
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is based on their announcement of raising seed finance and fails
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The above discussion is preserved as an archive of the debate.
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article is written very much from insider's POV and borders on
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The article includes quotes from DeepScale CEO Forrest Iandola.
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The way I understand it from a previous discussion somewhere,
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to generate a more thorough discussion and clearer consensus.
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to generate a more thorough discussion and clearer consensus.
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to generate a more thorough discussion and clearer consensus.
2019:). You have perfectly explained why I provide these quotes:
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is also notable primarily for its research and technology.
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is based on "an exclusive interview" and therefore fails
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is based on "an exclusive interview" and therefore fails
805:, and all the other ones seem to be mostly about Tesla.
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Knowledge:Reliable_sources/Perennial_sources#TechCrunch
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per the significant coverage in multiple independent
1771:Please add new comments below this notice. Thanks,
667:
list of Transportation-related deletion discussions
596:Please add new comments below this notice. Thanks,
449:Please add new comments below this notice. Thanks,
1686:Knowledge:Notability#General notability guideline
43:). No further edits should be made to this page.
2097:). No further edits should be made to this page.
665:Note: This discussion has been included in the
463:Note: This discussion has been included in the
374:Note: This discussion has been included in the
354:Note: This discussion has been included in the
968:Did you mean to erase my !vote and rationale?
465:list of California-related deletion discussions
376:list of Technology-related deletion discussions
356:list of Companies-related deletion discussions
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8:
112:Help, my article got nominated for deletion!
831:(2) On the awards and recognition, I think
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703:), so they don't contribute much towards
250:, who has been editing around the topic.
850:sufficient coverage in depth to satisfy
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1869:• 104gli's responses are inline below.
1322:"DeepScale on Robo-Car: Fuse Raw Data"
1085:"DeepScale on Robo-Car: Fuse Raw Data"
306:"DeepScale on Robo-Car: Fuse Raw Data"
331:"Does Your AI Chip Have Its Own DNN?"
7:
902:is an additional set of criteria to
759:in-depth information on the company
24:
1053:per the work of DGG. Passes GNG.
521:Thanks for your additional note,
1680:There is sufficient coverage in
97:Introduction to deletion process
1635:Szymkowski, Sean (2019-10-02).
1399:Korosec, Kirsten (2019-10-01).
1282:Szymkowski, Sean (2019-10-02).
1133:Korosec, Kirsten (2019-10-01).
18:Knowledge:Articles for deletion
1528:Lee, Timothy B. (2019-10-02).
1206:Lee, Timothy B. (2019-10-02).
880:. An SNG can not override GNG.
1:
2070:13:03, 11 November 2019 (UTC)
2042:00:50, 10 November 2019 (UTC)
1479:Reisenger, Don (2019-10-02).
1393:vehicles or retrofit systems.
1320:Yushida, Junko (2017-09-21).
1181:Reisenger, Don (2019-10-02).
1083:Yushida, Junko (2017-09-21).
329:Yoshida, Junko (2019-08-25).
304:Yoshida, Junko (2017-09-21).
67:19:48, 13 November 2019 (UTC)
2001:22:41, 9 November 2019 (UTC)
1861:14:09, 8 November 2019 (UTC)
1781:20:37, 5 November 2019 (UTC)
1748:04:02, 5 November 2019 (UTC)
1731:15:05, 4 November 2019 (UTC)
1707:23:41, 3 November 2019 (UTC)
1439:Kolodny, Lora (2019-10-01).
1362:Kolodny, Lora (2017-03-21).
1157:Kolodny, Lora (2019-10-01).
1109:Kolodny, Lora (2017-03-21).
1063:20:00, 3 November 2019 (UTC)
1038:20:45, 3 November 2019 (UTC)
1024:20:14, 3 November 2019 (UTC)
1003:20:09, 3 November 2019 (UTC)
978:20:06, 3 November 2019 (UTC)
955:20:49, 3 November 2019 (UTC)
933:14:17, 8 November 2019 (UTC)
916:20:03, 3 November 2019 (UTC)
890:15:58, 3 November 2019 (UTC)
863:21:56, 29 October 2019 (UTC)
845:05:59, 29 October 2019 (UTC)
815:13:17, 4 November 2019 (UTC)
776:20:41, 30 October 2019 (UTC)
740:06:48, 27 October 2019 (UTC)
676:19:30, 26 October 2019 (UTC)
658:15:34, 28 October 2019 (UTC)
633:15:49, 26 October 2019 (UTC)
606:05:02, 26 October 2019 (UTC)
573:18:38, 20 October 2019 (UTC)
548:16:43, 20 October 2019 (UTC)
517:13:17, 20 October 2019 (UTC)
502:07:00, 19 October 2019 (UTC)
477:02:06, 19 October 2019 (UTC)
456:12:08, 18 October 2019 (UTC)
430:17:41, 18 October 2019 (UTC)
411:17:09, 15 October 2019 (UTC)
388:07:28, 14 October 2019 (UTC)
368:07:28, 14 October 2019 (UTC)
260:07:57, 11 October 2019 (UTC)
1972:104gli: A couple of points:
1924:second Techcrunch reference
1819:second Techcrunch reference
1684:to allow DeepScale to pass
876:per DGG and 104gli. Passes
87:(AfD)? Read these primers!
2114:
1602:Fingas, Jon (2019-10-01).
1258:Fingas, Jon (2019-10-01).
718:: I don't see anywhere in
1564:Cao, Sissi (2019-10-02).
1232:Cao, Sissi (2019-10-02).
2087:Please do not modify it.
1945:HighKing: The reference
1066:Replaced my erased !vote
32:Please do not modify it.
1873:is defined as follows:
1959:this from the Observer
1955:this from Ars Technica
1839:this from the Observer
1835:this from Ars Technica
1672:
1631:
1598:
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1524:
1475:
1435:
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1626:
1590:
1571:The New York Observer
1554:
1504:
1463:
1423:
1386:
1346:
1239:The New York Observer
85:Articles for deletion
1916:This from techcrunch
1811:This from techcrunch
755:significant coverage
1657:The article notes:
1624:The article notes:
1588:The article notes:
1552:The article notes:
1502:The article notes:
1461:The article notes:
1421:The article notes:
1384:The article notes:
1344:The article notes:
1311:Sources with quotes
763:independent content
55:(non-admin closure)
1963:this from Engadget
1843:this from Engadget
1765:Relisting comment:
1951:this from Fortune
1881:This from eetimes
1831:this from Fortune
1825:. ″The reference
1799:This from eetimes
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557:, take a look at
550:
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479:
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275:comment added by
102:Guide to deletion
92:How to contribute
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1739:
1696:of the subject".
1690:reliable sources
1682:reliable sources
1655:
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1652:
1643:. Archived from
1622:
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1586:
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761:and containing
691:There are good
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41:deletion review
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1847:this from cnet
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1647:on 2019-11-03
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1614:on 2019-11-03
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1578:on 2019-11-03
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1542:on 2019-11-03
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1492:on 2019-11-03
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1294:on 2019-11-03
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1270:on 2019-11-03
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2005:Thank you,
1694:independent
1515:technology.
852:WP:ORGDEPTH
206:free images
1914:HighKing:
1889:churnalism
1807:churnalism
1742:talk to me
1723:Goldsztajn
1651:2019-11-03
1618:2019-11-03
1582:2019-11-03
1546:2019-11-03
1496:2019-11-03
1455:2019-11-03
1426:robotaxis.
1415:2019-11-03
1405:TechCrunch
1378:2019-11-03
1368:TechCrunch
1338:2019-11-03
1298:2019-11-03
1274:2019-11-03
1250:2019-11-03
1224:2019-11-03
1198:2019-11-03
1173:2019-11-03
1149:2019-11-03
1139:TechCrunch
1125:2019-11-03
1115:TechCrunch
1101:2019-11-03
1055:Lightburst
1016:Lightburst
990:WP:ORGCRIT
970:Lightburst
943:WP:ORGCRIT
340:2019-09-26
315:2018-05-22
292:References
2091:talk page
1947:from cnbc
1928:WP:ORGIND
1920:WP:ORGIND
1885:WP:ORGIND
1852:WP:ORGIND
1827:from cnbc
1823:WP:ORGIND
1815:WP:ORGIND
1803:WP:ORGIND
1715:Weak Keep
1692:that are
1469:vehicles.
1030:Graywalls
1010:Graywalls
995:Graywalls
964:Graywalls
947:Graywalls
908:Graywalls
878:WP:SIGCOV
855:Graywalls
807:Graywalls
791:Graywalls
767:WP:ORGIND
724:something
693:secondary
650:Graywalls
598:Barkeep49
563:WP:ORGIND
469:• Gene93k
421:WP:ORGIND
121:DeepScale
73:DeepScale
37:talk page
2093:or in a
2066:HighKing
2017:contribs
1876:subject.
1857:HighKing
1794:subject.
1757:Relisted
1719:WP:PROMO
1608:Engadget
1522:profile.
1327:EE Times
1264:Engadget
1090:EE Times
929:HighKing
900:WP:NCORP
824:Comment.
803:audience
772:HighKing
629:HighKing
622:WP:NCORP
588:Relisted
569:HighKing
559:WP:NCORP
544:contribs
532:unsigned
513:HighKing
441:Relisted
426:HighKing
335:EE Times
310:EE Times
285:contribs
273:unsigned
252:Meeanaya
165:View log
106:glossary
39:or in a
2047:Thanks
1887:. It's
1805:. It's
1788:Comment
1485:Fortune
1187:Fortune
924:4meter4
921:Comment
882:4meter4
787:Delete.
642:Comment
212:WPÂ refs
200:scholar
138:protect
133:history
83:New to
2053:Cunard
2049:104gli
2034:Cunard
2007:104gli
1993:104gli
1922:. The
1817:. The
1736:Delete
1699:Cunard
1662:sight.
904:WP:GNG
837:104gli
833:WP:NNC
751:104gli
732:104gli
728:OpenAI
720:WP:ORG
716:WP:ORG
709:WP:ORG
705:WP:GNG
646:WP:AUD
617:Delete
555:104gli
536:104gli
494:104gli
277:104gli
248:WP:UPE
244:WP:GNG
184:Google
142:delete
1768:Keep.
1596:2016.
1507:cars.
1473:them.
1051:Keep.
765:(see
757:with
684:Keep.
407:talk
396:Keep.
227:JSTOR
188:books
172:Stats
159:views
151:watch
147:links
16:<
2051:and
2038:talk
2028:this
2026:and
2024:this
2011:talk
1997:talk
1965:and
1901:this
1899:and
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1845:and
1777:talk
1727:talk
1703:talk
1641:CNET
1445:CNBC
1288:CNET
1163:CNBC
1073:Keep
1059:talk
1034:talk
1020:talk
999:talk
986:No.
974:talk
951:talk
912:talk
886:talk
874:Keep
859:talk
841:talk
811:talk
795:talk
736:talk
654:talk
613:Keep
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