Elon Musk says Tesla's next AI Day will take place on Aug. 19. The CEO confirmed that Tesla will offer a sneak peek of its humanoid robot, Optimus. More: - Without elaborating, Musk tweeted that this year's AI Day will have "So many cool updates!"
- Like past events, he said the purpose of AI Day is to "convince great AI/software/chip talent to join Tesla."
- Reports noted that it's likely Tesla will provide updates on its Full Self-Driving, new self-driving chip, and Dojo supercomputer program.
- It could reveal a working prototype of its Tesla bot as well.
- Tesla aims to start producing its Optimus humanoid robot "hopefully" in 2023, Musk said last month.
- Musk claimed the bot will "transform the world," more so than even Tesla's EVs.
Tesla AI Day 2021: - At last year's AI Day, Tesla announced its plans to develop the robot for various tasks, which it said builds upon its work in AI and self-driving vehicles.
- It also unveiled its in-house computer chip that runs its Dojo supercomputer and is designed to train AI networks for automated driving.
- Tesla reaffirmed its commitment to using computer vision as its sole approach to autonomous driving.
REUTERS 
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Ian Goodfellow, Apple's former machine learning director, has reportedly taken a position at Alphabet Inc.'s DeepMind AI lab. Goodfellow resigned from his post at Apple earlier this month, citing his disapproval over the company's return to work policy. More: - London-based DeepMind is bringing on Goodfellow "as an individual contributor," anonymous sources told Bloomberg.
- The hire is a "reunion of sorts." Prior to his time at Apple, Goodfellow worked as a staff research scientist at Alphabet's Google and was previously a member of the Google Brain team.
- Goodfellow quit as Apple's director of machine learning in the Special Projects Group earlier this month.
- News about his move to DeepMind occurred on the same day that Apple revised its return-to-office policy.
- Today, Apple said it will delay plans to require corporate employees to return to the office three days a week as COVID cases rise.
- Instead, the company will stick to its original plan to require in-office work two days a week, though employees can still work remotely if they choose.
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NIH-backed scientists developed machine learning models to identify patients with suspected long COVID. The AI system found risk factors for the condition, which included preexisting chronic diseases such as diabetes and chronic kidney disease, as well as long-term symptoms such as chest pain, malaise, and sleep disorders post-infection. More: - The condition is characterized by wide-ranging symptoms such as fatigue, shortness of breath, fever, and "brain fog."
- To train three machine learning models, scientists drew on data from the electronic health records of nearly 100,000 patients who tested positive for COVID, including nearly 600 diagnosed and treated for long COVID.
- The models were trained to identify data points that differentiate long patients from those with non-long COVID.
- After training, the AI system was applied to a larger database of electronic health records representing nearly 5 million virus patients.
- The AI was able to identify 100,000+ patients who had many of the symptoms and risk factors of long COVID. As of May, that figure is now above 200,000.
- The AI can be used to better identify people likely to have the condition. The scientists hope to train the AI on more data and then recruit long COVID patients to take part in clinical trials.
- The research was outlined in a new study published in The Lancet Digital Health.
THE NATIONAL INSTITUTES OF HEALTH
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Google has made its AI-powered job interview prep tool available to all internet users. The Interview Warmup tool uses AI to analyze people's responses to interview questions and offer observations and suggestions. More: - Users who visit the site are asked to choose a career and then answer five randomly selected questions. They can either type or use their voice.
- Google's AI technology then transcribes those answers in real-time to show speech patterns.
- It also delivers insights via machine-learning-detected patterns, such as what job terminology was used and what words were said most often.
- Google noted that it doesn't "'grade' your answer or tell you what part of your answer is right or wrong."
- Its questions include both general inquiries and question sets for each field in Google Career Certificates.
ENGADGET
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 A message from LOHIKA A Framework for Ethical Decision-Making by Software Engineers Don’t miss this opportunity to see Nicholas Thompson, CEO of The Atlantic. Nicholas is an expert on the technology landscape, previously serving as editor-in-chief of Wired and editor of Newyorker.com. In our latest Lohika <Re:think> online event, he will unveil a framework he developed for ethical decision-making for software engineers. Many believe that social media algorithms cause more harm than good. What if the software engineers building these algorithms had a framework for ethical decision-making? Could such a framework create more equitable algorithms? In addition to detailing his framework, Nicholas will share insights on how engineering teams can adapt its principles to the code they write. The event takes place on June 2, 2022 at 10am PT / 1pm ET. After Nicholas’ presentation and Q&A, you can join a video-based breakout room to directly engage with him. Hope to see you there! Register here
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Four U.S. Senators have asked the FTC to investigate alleged "deceptive statements" made by ID.me, an identity verification provider that uses facial recognition technology. The IRS previously used ID.me to verify taxpayers' identities online. Nearly 7 million people submitted their biometric data to the IRS and ID.me. More: - The Senators — Ron Wyden, Cory Booker, Ed Markey, and Alex Padilla — want the FTC to determine if ID.me's statements are considered "deceptive and unfair business practices" under the FTC Act.
- The Democratic lawmakers believe the firm misled consumers about how it used their face scans, which ID.me stored in a database and cross-referenced using face recognition.
Background: - The firm was inconsistent in its statements about what type of facial recognition technique it used.
- At first, it said it used a simple technology, such as that used when unlocking smartphones.
- It later clarified that it sometimes uses a more "complex and problematic" face recognition technique when a person's selfies are compared not to a single point of reference but an entire database of faces.
- Experts have said this method is more error-prone, resulting in denials of service. It also violates individuals' privacy.
What they said: - The Senators argued that ID.me's statements may have influenced federal and state officials when they chose it as an identity verification provider.
- These officials had a "right to know" that ID.me would force millions of people to submit their data for a facial recognition technique that was considered "problematic," they wrote.
VICE
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🍋 FRESH FUNDING 🍋 - Therapixel (Nice, France), design and commercialization of AI-powered medical imaging software: $15.7M B led by Crédit Mutuel Innovation, CapHorn, participation from Verve, Sham Innovation Santé, Omnes, et al.
- Credo AI (San Francisco, Calif.), responsible AI governance platform: $12.8M A led by Sands Capital.
- Lang.ai (San Francisco, Calif.), platform that helps CX Teams turn conversations into insights and automation: $10.5M A led by Nava Ventures, participation from Oceans Ventures, Forum, Flexport Fund, et al.
- Tignis (Seattle, Wash.), AI process control for semiconductor manufacturing: $7.2M A led by DN Capital, participation from Clear Ventures, Paul Maritz, Harel Kodesh.
- Levatas (West Palm Beach, Fla.), operational tasks software for robotics at industrial sites: $5.5M Seed led by Castellan Group.
- Curious Thing (Sydney, Australia), voice AI communication platform: $4.8M A led by Hawkstone, participation from Black Sheep Capital, January Capital, Reinventure, Qualgro.
For the latest on AI startup funding and more in the VC community, subscribe to our newsletter, Inside Venture Capital.
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- An AI initiative led by two NATO agencies held its first meeting in The Hague, Netherlands, as it seeks to advise NATO allies and partners about AI and its potential warfare applications.
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- VC firm Flying Fish has secured $70M for a second fund to invest in early-stage AI and ML startups in the Pacific Northwest and beyond.
- AI chip startup Axelera AI said it successfully tested its first chip, the Thetis Core, which is geared for AI applications at the edge.
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 |  | Beth is a writer and analyst at Inside.com covering artificial intelligence and daily tech news. Since starting work at Inside, she has covered various topics including virtual reality, drones, and e-commerce. Prior to that she was a public policy and investigative reporter for The Arizona Republic, where she won a Pulitzer Prize nomination and First Amendment Award for reporting on the rising costs of pensions. Reach her at Beth.Duckett@inside.com. |   | | Editor | Aaron Crutchfield is based in the high desert of California. Over the last two decades, he has spent time writing and editing at various local newspapers and defense contractors in California. When he's not working, he can often be found looking at the latest memes with his kids or working on his 1962 Ford. | |
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