Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

As new large language models, or LLMs, are rapidly developed and deployed, existing methods for evaluating their safety and discovering potential vulnerabilities quickly become outdated. To identify ...

Patented IoT system shifts food safety from reactive detection to proactive prevention, using AI sensor fusion to ...

SEALSQ Corp (NASDAQ: LAES) ("SEALSQ" or "Company"), a company that focuses on developing and selling Semiconductors, PKI, and Post-Quantum technology hardware and software products, today announced ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Despite significant investment, some enterprises find that agentic AI systems aren't delivering promised autonomous ...

Discover how FPGA mining differs from GPU mining in efficiency, cost, and performance, essential insights for new and ...

Before becoming a Vietnamese representative participating in the International Artificial Intelligence Olympiad, Kỳ Nam had ...

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.