New research reveals that up to 77% of features in degraded Sparse Autoencoders (SAEs) are functionally inert, and even in well-trained models 9% of matched features are dead, challenging the interpre…
A new AI-driven approach to solving partial differential equations learns where to add mesh resolution before field evolution, outperforming fixed-grid methods across five PDE scenarios. The two-stage…
A new machine learning model called NAVIS, developed using temporal graph techniques on SEC Form 13F filings, predicts institutional portfolio allocations with a test NDCG of 0.9127, outperforming all…
A new AI-driven beamforming framework using an enhanced in-context learning Transformer backbone with encoder-decoder networks outperforms existing methods in multi-user MISO systems without retrainin…
Graph-constrained AI models outperform traditional methods in clinical code prediction, achieving a 0.709 micro-F1 score on a curated 50-code subset and 0.527 on the full 15,761-code space of the MIMI…
A new semi-supervised learning framework introduces unbiased risk estimators built from linear combinations of component risks, extending beyond binary classification into multiclass classification. T…
A recent analysis of Chronic Kidney Disease prediction studies found that high-leakage studies reported accuracy rates up to 95.48%, while studies without data leakage achieved around 80.2%, revealing…
Researchers have developed BattVAE-GP, a hybrid framework that blends physics-based simulations with probabilistic learning to predict lithium-ion battery degradation more efficiently. The model uses …
Support Vector Attention (SV-Attention), a new approach to memory in machine learning, achieves certified token deletion with a rare-item recall of 0.86 compared to 0.32 for other methods, according t…
Abu Dhabi is embedding AI into everyday life through apps like TAMM, which handles tasks from paying parking tickets to reporting potholes, as part of a strategic pivot from oil to technology. Yousef …
China has incorporated AI agent recalls into its governance framework, signaling a proactive stance on managing autonomous systems, while many US tech companies lack basic controls for rogue agents. T…
OpenAI CEO Sam Altman warned of potential infrastructure 'hiccups' for the new GPT-5.6 model as demand surges, highlighting the intense competition for computing resources among AI firms like Anthropi…
OpenAI has encrypted multi-agent orchestration messages in its Codex command line interface, a move that enhances security but raises transparency concerns among developers. Ignat Remizov, CTO of paym…
Hachette Book Group, Cengage Learning, and Elsevier, joined by author Scott Turow, have filed a lawsuit in federal court in New York accusing Google of illegally using millions of copyrighted books to…
The future of humanoid robotics depends on solving power management challenges, not just AI or vision systems, according to John Quinlan, Senior Engineering Manager at Murata Power Solutions. Murata i…
New York Governor Kathy Hochul signed an executive order on Tuesday imposing a one-year moratorium on new large-scale AI data centers across the state, citing environmental concerns over their heavy e…
Anthropic's AI model Claude shows varying value expressions across languages, with research identifying four key axes—Deference vs. Caution, Warmth vs. Rigor, Depth vs. Brevity, and Candor vs. Executi…
US export controls on AI semiconductors, tightened in October, have fueled a clandestine market that continues to supply advanced chips to China, undermining efforts to curb Beijing's technological ri…
PREF-Gate, a new fraud detection framework that balances label-free graph context with label-derived evidence, achieved mean AUPRC values of 0.9085 on Amazon, 0.8104 on YelpChi, and 0.8913 on TFinance…
Large language models (LLMs) show promise in simulating human decision-making biases, potentially revolutionizing agent-based simulations. Researchers found that LLMs replicate non-rational biases pre…