Japan's At Tokyo plans data center in Nagoya
Japanese data center provider At Tokyo has announced plans to open a new facility in Nagoya next year.
Japanese data center provider At Tokyo has announced plans to open a new facility in Nagoya next year.
OpenAI Academy has partnered with the Walton Family Foundation to launch interactive training sessions aimed at helping primary and secondary school educators integrate artificial intelligence skills into their classrooms.
The paper introduces a method for identifying and localizing failures within complex, multi-agent systems powered by large language models.
Chinese printed circuit board manufacturers are significantly increasing capital expenditure and expanding factory capacity to meet surging global demand driven by the artificial intelligence boom.
Researchers introduced G-Frame, a multi-agent framework based on game theory principles designed to reduce hallucinations in lightweight language models applied to scientific domains.
MentalHospital is a virtual simulation environment designed to evaluate how effectively large language models handle complete psychiatric clinical encounters.
The paper explores methods to effectively utilize synthetic speech generated by text-to-speech systems to train automatic speech recognition models in privacy-restricted domains.
DeepTutor is an open-source agentic framework that combines citation-grounded tutoring with calibrated feedback to personalize educational interactions.
Researchers proposed an SVD-based vision token pruning method to reduce the computational and memory overhead of processing long sequences in Vision-Language Models.
The paper introduces a harness-engineering architecture designed to make enterprise large language model agents more traceable, deterministic, and auditable.
The paper introduces ContextSniper, a token-efficient code memory module designed to select precise evidence for repository-level program repair using language model agents.
Researchers developed SLORR, an in-training low-rank regularization method designed to make neural networks more compressible without requiring complex matrix decompositions.
This paper outlines a multi-agent framework that coordinates solver, critic, and aggregator foundation models to build more reliable cooperative reasoning systems.
Researchers developed a multi-agent pipeline based on the Model Context Protocol to convert natural-language documentation into standardized formats for continuous compliance in critical infrastructure.
Industry experts in China report that the rapid adoption of artificial intelligence is driving the emergence of a token-based economy for pricing and delivering digital services.
Electronic components distributor Hottech predicted its net profit for the first half of 2026 would rise by up to 376.03% year-on-year.
Former autonomous driving engineers are applying closed-loop data systems to develop smart sleep technology for bedrooms.
China's State Council has approved the 15th Five-Year Plan for Expanding Consumption, which outlines measures to boost inbound tourism and expand visa-free entry.
Huawei plans to debut its next-generation Atlas 950 SuperPoD computing cluster and the world's first AI agent-enabled smartphone at the upcoming World Artificial Intelligence Conference.
This study investigates how pre-trained code models internally represent programming types by probing their hidden states across different programming languages.
Researchers have developed a content protection method that exploits context compression to prevent LLM-based web crawlers from scraping online information.
A new multi-agent workflow utilizing large language models has been developed to autonomously formalize complex theorems in theoretical physics.
Researchers have introduced a three-stage curriculum learning framework designed to efficiently distill chain-of-thought reasoning from large language models into smaller student models.
Researchers have introduced ProjAgent, a repository-level code generation system that retrieves functions based on procedural logic rather than simple lexical or semantic similarity.