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

The "AI in Chemical & Material Informatics Market - Global Forecast 2025-2032" report has been added to ...

AI’s too pricey right now — fixing chips, software and networks could finally make it fast, cheap, and everywhere.

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...

Key TakeawaysResearchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with ...

The NVIDIA RTX 5080 is powered by the brand-new Blackwell architecture and it is the kind of GPU gamers and content creators ...

Most of the growth came from digitalisation in non-tech sectors rather than from tech firms. Read more at straitstimes.com.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Hefei Zhilin Yijia Technology Co., Ltd. recently applied for a patent titled "A Method and Device for Monitoring Vehicle Driving Behavior," with publication number CN120711236A, and application date ...

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

Sodium-ion batteries (SIBs) emerge as a key option for next-generation electrochemical energy storage, thanks to abundant sodium resources, ...