X-ray inspection is crucial in both the food and non-destructive testing sectors to guarantee quality and safety. Enhancing the detection of contaminants and defects requires minimizing noise in the ...

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

A few months ago, I asked ChatGPT to recommend books by and about Hermann Joseph Muller, the Nobel Prize-winning geneticist who showed how X-rays can cause mutations. It dutifully gave me three titles ...

In this special guest feature, Yonatan Geifman, CEO & co-founder of Deci, discusses how automated machine learning (or AutoML) can “democratize data science” by gradually implementing different levels ...

Adam Optimizer Explained in Detail. Adam Optimizer is a technique that reduces the time taken to train a model in Deep Learning. The path of learning in mini-batch gradient descent is zig-zag, and not ...

In this special guest feature, Yuval Greenfield from MissingLink.ai, discusses the rise of “DeepOps” aka AIOps and how it is where DevOps was in the 1990s—a nascent field that is becoming increasingly ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its ...

A microscopic close-up of the bubbles in foam, whose movements mathematically mirror the process of deep learning, used to train modern AI systems. Foams are everywhere: soap suds, shaving cream, ...

Deep learning, a branch of artificial intelligence (AI), imitates human thinking and learning by enabling computers to learn from data examples. At its foundation are ‘artificial neural networks,’ ...