Frontiers

Hybrid Catalytic Systems for Multi-Matrix Environmental Remediation: Air, Water and Soil Treatment

Environmental pollution is inherently interconnected across air, water, and soil systems. Contaminants migrate through ...
IEEE

Distributed Differentially Private Algorithms for Matrix and Tensor Factorization

Abstract: In many signal processing and machine learning applications, datasets containing private information are held at different locations, requiring the development of distributed ...

Scientists develop predictive roadmap to boost performance in next-gen spintronics

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

The AI Validation Gap: The $2.5 Trillion Blind Spot In Enterprise AI

Executives are making significant investment decisions based on AI outcomes they cannot independently verify. A machine ...

Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
Tech Times

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Virtualization Review

Running AI Locally: Why VMware Shops Should Care

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...
IEEE

Multi-Label Classification With High-Rank and High-Order Label Correlations

Abstract: Exploiting label correlations is important to multi-label classification. Previous methods capture the high-order label correlations mainly by transforming the label matrix to a latent label ...