Anthropic will embed machine-readable watermarks in text and file metadata generated by its Claude models to comply with European Union transparency rules under Article 50 of the EU AI Act, applying t…
Tencent Holdings Ltd. reported fourth-quarter revenue of 172.7 billion yuan ($24.1 billion), beating analyst estimates, driven by accelerating games sales and AI-driven advertising. The company's stoc…
The U.S. Department of Health and Human Services (HHS) released a pledge to advance national mental healthcare, and Lance Eliot, a contributor at Forbes, added AI to its six stated principles, arguing…
Tesco is deploying AI agents powered by decades of Clubcard data and new partnerships with Adobe and Mistral to transform customer shopping and business operations. The initiative aims to personalize …
Koray Kavukcuoglu has been appointed CEO of Google DeepMind, inheriting the challenge of keeping Google's Gemini AI models competitive with rivals OpenAI and Anthropic. The leadership change comes as …
Manus AI will resume operations as an independent company after Chinese regulators blocked Meta's acquisition, with the company set to delete user data generated since December 29, 2025, on August 24.…
China-linked hackers launched an unprecedented 'autonomous' AI cyber attack on Taiwan, using AI agents to conduct simultaneous reconnaissance and break-ins, according to the Financial Times. The attac…
Researchers have developed HumRightsBench, the first expert-validated, scenario-based benchmark for evaluating whether large language models can reason correctly about international human rights law, …
Researchers propose the Continuous Regression Hybrid Transformer (CRHT), a deep learning framework for vessel trajectory prediction using Automatic Identification System (AIS) data, which achieves the…
A new arXiv paper (arXiv:2608.10333v1) introduces MERA, a method that improves small language models through multi-cycle adaptation, raising Qwen2.5-Coder-1.5B from 28.7% to 49.7% pass on held-out Hum…
Researchers introduced ELVAE, an evidential learning-based variational autoencoder that assigns each latent coordinate an input-dependent normal-inverse-gamma posterior, enabling explicit latent-locat…
Researchers introduced Exploration-Driven Personalized Federated Reinforcement Learning via Intrinsic Motivation (EDPFRL-IM), a framework that adds curiosity-driven exploration to federated reinforcem…
Researchers propose IADD-TR, a framework that decouples environment dynamics into action-intervention and action-free stages to reduce policy-induced data bias in model-based reinforcement learning. E…
Researchers from Huawei have developed proxy models that reduce accelerator requirements by 50%-87.5% and cut per-step NPU-hour cost by up to 33.3x for reproducing failures in large language model rei…
Researchers introduced TACTICL, an automated task-aware compression framework for tabular in-context learning models that prunes transformer layers and replaces them with lightweight adapters, reducin…
Researchers introduced a generator-guided inverse sampling method for Lévy-driven generative models, addressing the challenge of nonlocal reverse processes caused by infinite jump activities. The meth…
A new arXiv paper (2608.10288v1) introduces Power Law Graph Attention (PLGA), a learned attention mechanism that exactly generalizes scaled dot-product attention (SDPA) and is used in the Power Law De…
A new study from arXiv (arXiv:2608.10235v1) finds that Hamiltonian Neural Networks (HNNs) reduce mean energy drift by 42-fold and mean trajectory MSE by 15.8-fold compared to parameter-matched feedfor…
Researchers introduced Fisher8, an output-layer gradient correction that uses Fisher geometry to stabilize neural heteroscedastic regression, improving likelihood-error tradeoffs and uncertainty calib…
Researchers introduced SINKFLEX-RL, a modular training system for reinforcement learning in long-horizon tool-use agentic tasks, which integrates a Gymnasium-compatible environment wrapper, VERL-style…