Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...

Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

According to the report published by Allied Market Research, The Global Digital Pathology Market Size was estimated at USD ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment but can cause immune‑mediated hepatotoxicity (IMH), a potentially serious ...

GRAIL, Inc. , a healthcare company whose mission is to detect cancer early when it can be cured, will present additional data from both the NHS-Galleri trial and the PATHFINDER 2 study further ...

AI is one of the fastest-growing technologies that are currently shaping modern-day digital interactions. Within just the last couple of years, the scope of applications that use AI technology is not ...