Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...

T he year 1958: Dwight D. Eisenhower was in the White House, Buddy Holly’s “Peggy Sue” ruled the airwaves, and a psychologist named Frank Rosenblatt was putting the finishing touches on a machine ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

The researchers hooked the Brainoware organoid computer chip into a system, treating it as an "adaptive living reservoir," made sure the mini-brain was responding to electrical inputs in a suitably ...

It’s all well and good to ask if androids dream of electric sheep, but science fact has evolved to a point where it’s beginning to coincide with science fiction. No, we don’t have autonomous androids ...

A team of theoretical physicists working with Microsoft today published an amazing pre-print research paper describing the universe as a self-learning system of evolutionary laws. In other words: We ...

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn. Even as ...