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Landing AI hires vision expert Dechow to correct the Big Data fallacy


The field of deep learning has been suffering from what you might call a Big Data fallacy, the belief that more and more data is always a good thing. It may be time to focus on quality rather than just quantity. "There's a very fundamental problem that a lot of AI faces," said Andrew Ng, founder and CEO of Landing AI, a startup working to perfect the technology for industrial uses, in an interview with ZDNet this week. "A lot of AI is focused on maximizing the number of calories, which works up to a certain point," he said. "And sometimes you do have a lot of data, but when you have a small data set, it's more the quality of the data rather than the sheer volume."

Why AI software companies are betting on small data to spot manufacturing defects


To the uninitiated, a tiny stain on several yards of car seat upholstery or a minuscule gas bubble on the surface of an industrial oil pipe might seem like an insignificant imperfection. But factory inspectors are always on the lookout for these sorts of defects, because they can create serious slowdowns in time-sensitive manufacturing production schedules. Cameras and computer vision software have been used to spot product flaws in manufacturing facilities for decades, but today companies including Landing AI and Mariner are helping take defect detection to the next level with AI software. Rather than offering off-the-shelf AI, these companies are betting that manufacturers want highly customized algorithmic models to monitor for product defects. And they have another selling point that flies in the face of what we know about most big data-hungry AI systems: Their models work using very small datasets.

Google Brain co-founder teams with Foxconn to bring AI to factories


Consumers now experience AI mostly through image recognition to help categorize digital photographs and speech recognition that helps power digital voice assistants such as Apple Inc's Siri or But at a press briefing in San Francisco two days before Ng's In many factories, workers look over parts coming off an assembly line for defects. Ng showed a video in which a worker instead put a circuit board beneath a digital camera connected to a computer and the computer identified a defect in the part. Ng said that while typical computer vision systems might require thousands of sample images to become "trained,"'s

Google Brain co-founder teams with Foxconn to bring AI

Daily Mail - Science & tech

Andrew Ng, co-founder of some of Alphabet Inc-owned Google's most prominent artificial intelligence projects, launches a new venture with iPhone assembler Foxconn to bring AI and so-called machine learning onto the factory floor.

Andrew Ng predicts the next 10 years in AI


Did you miss a session at the Data Summit? Did you ever feel you've had enough of your current line of work and wanted to shift gears? If you have, you're definitely not alone. Besides taking part in the Great Resignation, however, there are also less radical approaches, like the one Andrew Ng is taking. Ng, among the most prominent figures in AI, is founder of LandingAI and DeepLearning.AI, co-chairman and cofounder of Coursera, and adjunct professor at Stanford University.