Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...

They are using the pattern recognition capabilities of AI to sort a cacophony of caws and rumbles and chatter into individual ...

Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Research indicates that repetition and distributed practice are effective methods for strengthening memory and enhancing ...

Introduction - What is a Cyber Arms Race? The Cyber Arms Race can trace its roots to 1949 when the Soviet Union tested their ...

ROURKELA: A research team of the National Institute of Technology - Rourkela (NIT-R) has secured patent for an AI-enabled ...

There is constant chatter surrounding the promise of generative AI, agentic AI, and – eventually – artificial general ...

Neural Concept has made strategic hires and formed an expert advisory board. Tom Becker, former Covariant GM, has joined the ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

By spreading out tightly packed information in neural networks, a new set of tools could make AI protein models easier to ...

Humanoid robot investments face skepticism as industry leader Rodney Brooks warns current designs may never deliver.

Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions ...