Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
Microsoft

AI as tradecraft: How threat actors operationalize AI

Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups ...

Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

Machine-learning immune-system analysis study may hold clues to personalized medicine

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
AZoOptics

AI-Enhanced Optical Spectroscopy for On-Line Food Quality Monitoring

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
IEEE

Improving Arabic Multi-Label Emotion Classification using Stacked Embeddings and Hybrid Loss Function

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...

Mohammad Hossain Builds AI-Driven Decision Support Using Business Analytics and Engineering Intelligence for Markets

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...
EE World Online

The difference between physical AI and machine learning in power electronics

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
IEEE

Learning in Imperfect Environments: Multi-Label Classification of Non-Functional Requirements under Long-Tailed Distribution

Abstract: Automatically identifying and classifying nonfunctional requirements (NFRs) such as reliability and security from software requirements is one of the most active research topics in the field ...
Rolling Stone

The Label That Launched Taylor Swift Is Changing Hands — Again

Change is once again afoot at Big Machine Records. The label’s founder, Scott Borchetta, announced on Thursday that he’s exiting HYBE America, which acquired Big Machine Label Group (BMLG) as part of ...