10 results on this page
Tactile robotics is expanding from sensor hardware into datasets, foundation models, and evaluation benchmarks. Research shows touch improves physical reasoning and robot success, but inconsistent sensor formats create major cross-device transfer challenges.
OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
NVIDIA introduces Cosmos 3 Edge, a compact world model designed for on-device robot control. The 4B omni-model includes a 2B NVIDIA Nemotron-based reasoner to support adaptive policies across sensors, environments, and tasks.
The Spectral Neuron is a proposed ML primitive based on the largest eigenvalue of an input-conditioned matrix. The preprint develops its mathematical properties, initialization and training methods, and evaluates scalability on synthetic and real-world datasets.
The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.
Apple Machine Learning presents a lexical-intervention approach for improving cross-lingual knowledge transfer when target-language data is scarce. The work targets downstream capabilities such as scientific reasoning, commonsense inference, and world knowledge without relying heavily on parallel data, translation systems, or auxiliary models.
Tencent is reportedly reshaping its multimodal AI direction from content generation toward contextual understanding and action in the real world. The shift appears closer to Liang Wenfeng’s emphasis on reasoning and execution, and farther from Fei-Fei Li’s world-model-oriented research approach.
Anthropic plans to let business customers retain data for its most capable AI models on their own cloud infrastructure. The planned safety system, expected later this year, would still require a 30-day retention period while moving storage control to customers.
Ramp has launched Router, an AI model routing service that allows users and companies to access and switch between multiple large language models. The service is available through an API.
Kuaishou’s Kling AI raised nearly $3 billion at a post-money valuation of $18 billion, with Kuaishou’s stake falling to 68.33% and a potential Hong Kong IPO targeted by 2031. Despite strong revenue growth, Kling faces slowing momentum, talent departures, and intense competition from ByteDance’s Seedance and open-source video models.