Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

“The Bee Sting” by Paul Murray. The plot builds slowly to a breathtaking crescendo. But the real genius is in how it’s told: ...

The research team presented the world's first precision medicine approach by integrating plasma proteomics, leukocyte ...

A new post on Apple’s Machine Learning Research blog shows how much the M5 improved over the M4 when it comes to running a local LLM.

Bees may be smarter than we thought. In a controlled experiment, they learned to differentiate between fast and slow flashes ...

The global artificial intelligence market size is anticipated to reach USD 3.5 Trillion by 2033, growing at a CAGR of 31.5% ...

Famed AI researcher Andrej Karpathy got early access to Google’s latest AI model and stumbled onto its "model smell." ...

Artificial intelligence accounting automation platform startup Numeric has raised $51 million in new funding to expand from close management into a broader compound startup model that delivers a ...

By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new ...

As electric vehicles, satellites and wearable electronics push into sub-zero environments, conventional lithium-ion batteries (LIBs) lose most of ...