New research shows how the signal from a household WiFi device can be used to monitor heart rate with state-of-the-art ...
Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered ...
The "AI in Chemical & Material Informatics Market - Global Forecast 2025-2032" report has been added to ...
In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...
Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...
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 ...
On September 15, Titanium Media App reported that recently, FiberHome Communications, in collaboration with China Mobile, the National Key Laboratory of Optical Communication Technology and Networks, ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...