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Apple's machine learning director quits over return to office policy
Apple’s machine learning director quits over return to office policy
Director of machine learning Ian Goodfellow announced his resignation last week, telling colleagues that the company’s return-to-work in the office for three days per week was the reason he was leaving. Apple Park in Cupertino, California Theo Wayt for The New York Post: The news comes as Apple orders all corporate employees to return to the office for three days per week — a stricter policy…
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Apple hires top Artificial Intelligence expert Ian Goodfellow from Google
Apple hires top Artificial Intelligence expert Ian Goodfellow from Google
[cfsp key=”getamac.jpg”]”Ian Goodfellow, one of the top minds in artificial intelligence at Google, has joined Apple in a director role,” Jordan Novet reports for CNBC. “The hire comes as Apple increasingly strives to tap AI to boost its software and hardware. Last year Apple hired John Giannandrea, head of AI and search at Google, to supervise AI strategy.”
“Goodfellow updated his LinkedIn…
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Apple poached from Google the AI superstar whose work underpins deepfake technology, Defence Online
AI researcher Ian Goodfellow has remaining Google to acquire up a director write-up at Apple, CNBC reviews.
Goodfellow is well known for his work establishing Generative Adversarial Networks, which can make convincing phony photographs and are known for their use in deepfake technological innovation.
Apple also poached Google’s chief of research and artificial intelligence past calendar year.
Apple has prized another AI superstar absent from Google.
Ian Goodfellow is famed in the world of AI for his revolutionary function on Generative Adversarial Networks, or GANs. GANs have come to be notorious in current yrs, because they can be made use of to make convincing fake photos of actual-planet objects, and are integral to a lot of “deepfake” software program.
Browse much more: The AI tech powering scary-serious movie star ‘deepfakes’ is being applied to build wholly fictitious faces, cats, and Airbnb listings
CNBC was the very first to location that Goodfellow’s LinkedIn had been updated on Thursday with his new role at Apple, which he appears to have started off in March. A Google spokesperson confirmed his departure to CNBC.
Exclusively, Goodfellow’s LinkedIn states he is a director of machine studying in Apple’s Unique Jobs Team. It is unclear just what component of Apple’s enterprise Goodfellow will be bringing his skills to, but a variety of Apple characteristics and jobs count on AI, which include its wise assistant Siri, its FaceID Iphone unlocking feature, and its secretive autonomous driving job.
Goodfellow has still left behind a work as a senior study scientist at Google. He has also labored at OpenAI, the synthetic intelligence group cofounded by Elon Musk and Sam Altman.
This isn’t the initial time Apple has lured an AI celebrity away from Google. In April previous year, it poached Google’s then chief of research and synthetic intelligence, John Giannandrea.
The post Apple poached from Google the AI superstar whose work underpins deepfake technology, Defence Online appeared first on Defence Online.
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The first ever Artificial Intelligence-made work to be sold at auction will feature in a Christie’s New York sale this fall. Powered by AutoBlogger.co
Yapay zeka, kedi fotoğrafını köpeğe dönüştürdü
Yapay zeka, kedi fotoğrafını köpeğe dönüştürdü
Manipülasyona uğratılmış fotoğraflar yapay zeka çalışmalarında önemli bir rol oynuyor. Gerçekleştirilen yeni bir araştırma ise yapay zekanın bu alanda ne kadar ilerlediğini gözler önüne seriyor Araştırmacılar, bir yapay zekaya hem kendi türdeşlerini hem de insanları kandıracak bir fotoğraf tasarlattı. Aşağıda (solda) gördüğünüz kedi fotoğrafını alan yapay zeka, akılcı ve ufak dokunuşlarla onu bir…
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Morning Reading: Unsupervised Learning - PCA #PCA #unsupervised_learning #mxmnml #Iran_Goodfellow #Yoshua_Bengio #Aaron_Courville
As of 2016, a rough rule of thumb is that a supervised deep learning algorithm will generally achieve acceptable performance with around 5,000 labeled examples per category, and will match or exceed human performance when trained with a dataset containing at least 10 million labeled examples.
Ian Goodfellow, Deep Learning