Reasoning is the ability to integrate internal states and external inputs in a meaningful and semantically consistent flow. Contemporary machine learning (ML) s...
Reasoning is the ability to integrate internal states and external inputs in a meaningful and semantically consistent flow. Contemporary machine learning (ML) s...
Universal embodied intelligence demands robust generalization across heterogeneous embodiments, such as autonomous driving, robotics, and unmanned aerial vehicl...
Current benchmarks for code agents primarily assess narrow, repository-specific fixes, overlooking critical real-world challenges such as cross-repository reaso...
Omni-modal large language models (omni LLMs) have recently achieved strong performance across audiovisual understanding tasks, yet they remain highly susceptibl...
Automated industrial optimization modeling requires reliable translation of natural-language requirements into solver-executable code. However, large language m...
Memory prices have begun shifting on an hourly basis as the AI‑driven shortage intensifies, according to a DigiTimeshttps://www.digitimes.com/news/a20260303PD23...
Enterprise engineering organizations produce high-volume, heterogeneous telemetry from version control systems, CI/CD pipelines, issue trackers, and observabili...
Local class imbalance and data heterogeneity across clients often trap prototype-based federated contrastive learning in a prototype bias loop: biased local pro...
OpenAI’s AI‑Powered Data Agent: From Hours of SQL to Instant Charts When an OpenAI finance analyst needed to compare revenue across geographies and customer co...
OpenAI’s AI‑Powered Data Agent: From Hours‑Long Queries to Instant Insights When an OpenAI finance analyst needed to compare revenue across geographies and cus...
Large Language Models are rapidly gaining traction in software engineering, yet their growing carbon footprint raises pressing sustainability concerns. While tr...
