The "Hong Kong/Shanghai Co-operation Open Data Challenge (HSODC) 2026" series of events was successfully concluded at the ...

The moment your AI outputs need a manual “sanity check,” your AI program has stalled because users won't adopt something they ...

AI can translate faster than any human. But when enterprises cannot control what data leaves their walls, who approves the ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

The next important milestone for AI research is to automate model development. Every advance in reasoning, language, and perception is, in some sense, a step toward that goal. However, the path to ...

While 79% of organizations face AI data challenges, 92% are already using their data to train LLMs despite readiness concerns ...

For cybersecurity, artificial intelligence tools can serve as both a transformational asset and also as a conceivable digital ...

Researchers have reviewed the challenges and prospects of real-world battery status prediction within Industry 4.0, highlighting how lithium-ion battery diagnostics must adapt to dynamic operating ...

Google launches Gemini Robotics-ER 1.6, enabling robots to reason, adapt, and operate in real-world environments with ...

A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by ...

Anthropic is reportedly preparing Claude Opus 4.7 as it accelerates its AI release cycle, alongside new tools that could ...

The Automotive Edge Computing Consortium (AECC) today announced the release of its latest white paper, "Data-First Architecture for Data-Driven Automotive Service Development." Developed by the AECC ...