Interpretable neural networks help reveal the nature of dark matter

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Designing Reactive AI With Spiking Neural Nets

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.
Learn With Jay on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
InfoWorld

The most popular neural network styles and how they work

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 ...

Scientists unravel neural networks that guide guilt and shame-driven behaviors

Feelings of guilt and shame can lead us to behave in a variety of different ways, including trying to make amends or save ...
Morning Overview on MSN

Scientists pinpoint neural roots of schizophrenia and bipolar disorder

For decades, schizophrenia and bipolar disorder have been diagnosed from the outside in, through behavior, mood, and memory rather than the cells and circuits that go wrong. Now a new wave of brain ...

AI-aided design software startup Neural Concept raises $100M to accelerate product engineering

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...
Study Finds

What Makes Brains Conscious That Computers Lack?

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...