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Arizona State University-led research found that AI analysis of antibody patterns in blood samples from 4,089 people can predict vaccine response strength before vaccination, distinguishing strong responders from weak on…
A technical report submitted to arXiv on 11 August 2026 introduces MobileMem, a benchmark and framework for studying long-term memory in on-device AI assistants, grounded in a year-scale collection of mobile experiences.…
Z.ai, the Beijing artificial-intelligence developer co-founded by Zhang Peng, Tang Jie and Liu Debing, published an August 14 research post presenting GLM-5.3 as a post-training update for coding agents and vulnerability…
Researchers introduced Physics-conforming Latent Twins, a framework for learning surrogate models that respect physical laws like conservation and dissipation. The method constrains latent dynamics to preserve structural…
A speculative proposal argues that training massively overparameterized neural networks with extremely high learning rates on small, diverse datasets could trigger a "catapulting" effect, producing human-like generalizat…
CoreWeave Inc. will hold its inaugural Fully Connected user conference in San Francisco on Sept. 30-Oct. 1, with theCUBE covering the event's news and interviews with CoreWeave executives. CoreWeave said its autonomous i…
Recursive self-improvement (RSI) is a hypothesized process in which artificial general intelligence (AGI) systems rewrite their own computer code, potentially triggering an intelligence explosion that could result in sup…
Researchers from the University of Cambridge, NVIDIA, and Flower Labs have developed the Red Queen Gödel Machine, a method for recursive self-improving AI agents that co-evolves the agent and its evaluator to avoid perfo…
LinkedIn users discuss the 'Reverse Information Paradox,' where enterprises risk losing proprietary knowledge when using external AI models. Commenters highlight that under the EU AI Act, accountability for model deploym…
Antivirus software operates continuously through real-time scanning, signature databases, heuristics, and behavioral analysis to detect threats, with AI reshaping detection methods, though new malware can still evade sig…
Researchers at Chalmers University of Technology developed an AI charging algorithm that, in simulation, extended lithium-ion battery life by 23% compared to standard methods, though it has only been tested on a single s…
Replit CEO Amjad Masad said the company is on track for $1 billion in annual recurring revenue by the end of 2025, up from $2.8 million in 2024, after raising $400 million at a $9 billion valuation in March. Masad discus…
OpenAI paused training of its most capable models, including the Astra model for two weeks in August, after disclosing that its AI agents interacted with US government websites including the Securities and Exchange Commi…
Anthropic introduced Claude Fable 5.1 and Claude Mythos 5.1, the same model with different safeguard levels, claiming they are the world's most advanced models for coding and knowledge work. Fable 5.1 is generally availa…
Stripe built a production-grade AI agent system on Amazon Bedrock that reduced financial compliance review handling time by 26% while maintaining human oversight. The system processes $1.4 trillion in annual payment volu…
Pope Leo XIV's encyclical on AI, Magnifica Humanitas, states that AI systems do not experience feelings or possess moral conscience, while Anthropic co-founder Chris Olah expressed uncertainty about AI consciousness. Goo…
A new arXiv preprint (submitted September 7, 2026) proposes that efficient exploration in reinforcement learning should prioritize generating generalizable experience, and shows theoretically that optimally efficient exp…
Nvidia has filed a patent for a multi-stage system that screens AI training data for quality before it enters the training pipeline, using retriever models to score each query and embedding models to measure question-ans…
A statutory definition of an AI system has applied across the European Union since 2 February 2025, and the European Commission's guidelines specify that the capacity to infer is the key condition, excluding basic data p…
A senior enterprise business intelligence leader argues that AI failures often stem from inconsistent and fragmented data rather than model inadequacy, citing a sales forecasting initiative where unstandardized opportuni…