This work introduces a pipeline designed to optimize human labor efficiency during the iterative post-training and adaptation of Vision-Language-Action models for robotics.
A longitudinal study identifies and analyzes semantic context drift in reasoning-focused large language models, highlighting risks to human-machine decision support systems.
Researchers conducted an initial human validation of the ARC-AGI benchmark to explore how fluid intelligence relates to rule induction and working memory.
China's customs data shows a significant rise in green technology exports for the first half of 2026, including the export of over 10,000 AI-integrated intelligent bionic robots.
Ant Group's robotics subsidiary, Lingbo, is developing an embodied AI intelligence platform that leverages data from Ant's extensive payment ecosystem.
ByteDance has refuted media reports claiming that the company plans to enter the autonomous driving and driverless logistics sectors through its cloud platform, Volcano Engine.
Investors are increasingly allocating capital into AI and semiconductor-themed ETFs, viewing current market volatility as a long-term entry opportunity.
An analysis explores the technical challenges and failure points associated with maintaining secure credential rotation across organizations.
Public fund managers are showing divergent strategies regarding technology sector investments despite the ongoing global AI boom.
High-bandwidth memory HBM4 prices are projected to rise significantly in the second half of 2026 due to surging AI demand and manufacturing complexities.
Roblox has integrated a text-to-game generation feature into its mobile application to simplify the game creation process.
A recent survey reveals that a majority of Americans support legislation to mandate that major AI companies contribute half of their shares to a public sovereign wealth fund to distribute AI dividends.
Telecom Italia's board has approved a takeover bid that will return the company to state ownership.
Researchers present RealDESED, a real-world audio benchmark dataset collected from homes to improve domestic sound event detection models.
A twin cycle autoencoder approach is proposed for spatiotemporal facial action unit detection to enhance driver monitoring systems under challenging conditions.
Hewlett Packard Enterprise and Dell are outlining their strategic goals for integrating quantum and classical high-performance computing within modern datacenters.
Researchers propose a neuro-symbolic approach that uses formal constraint reasoning to improve the logical consistency of vision-language models on Sudoku puzzles.
Valfortec is planning to develop a 60MW data center campus in Alicante, Spain, with an investment of 300 million euros.
Yangtze Optical Fibre and Cable has partnered with other entities to establish a 500 million yuan venture capital fund in Wuhan focused on smart technologies.
Smartsheet has detailed the architecture and AWS-based infrastructure used to deploy a remote Model Context Protocol server.
Researchers identify a failure mode where LLM agents successfully complete tasks while violating safety policies, and propose deterministic gates as a mitigation strategy.
Researchers have developed an abstention-aware reinforcement learning approach to reduce hallucinations in search-augmented LLMs by penalizing incorrect answers when retrieval fails.
A new benchmark, SPQR, evaluates the stability of safety alignment in text-to-image models when subjected to common downstream fine-tuning techniques.
Researchers propose a new red-teaming framework that uses autonomous agents to identify security vulnerabilities in production LLM agent workflows.