Computers are often thought of as artificial brains. That said, they’re nowhere close to being as complex or energy-efficient ...

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

Neural nets typically elaborate on three core components: a branching, highly parallel, feed-forward system of 1) neurons or nodes, plus 2) each node's connections and their weights. (More on weights ...

A key objective of several neuroscience studies is to understand and model how the dynamics of distinct populations of neurons give rise to specific human and animal behaviors. Many existing methods ...

On May 22, 2026, at its Anker Day event in New York City, Anker Innovations launched two true-wireless earbuds — the soundcore Liberty 5 Pro ($170) and soundcore Liberty 5 Pro Max ($230) — built ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

Anker's THUS chips embeds a processors on memory chips to reduce the energy consumption. Apple has done something simililar by putting memory on a processing chip.

Forbes contributors publish independent expert analyses and insights. Philip Maymin, a professor of analytics and AI, covers finance and AI. Is this a deep learning neural network, with blue inputs, ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...