The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Abstract: This paper presents attention-based deep neural networks for high-dimensional microwave modeling to predict behavior of spatio-temporal modulated (STM) non-reciprocal bandpass filters ...

Microsoft plans to translate the code of software products into the Rust language by 2030. The task will mainly be performed by artificial intelligence (AI) agents. This was announced on December 24 ...

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

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...

Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

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

A new study introduces ACA-SIM (atmospheric correction based on satellite–in situ matchup data), a neural-network-based atmospheric correction ...