Salesforce's SRD distills hindsight into foresight, rescuing agent RL when rewards vanish and lifting success from 0% to 60.6 ...

Reactive path planning for low-speed mobile platforms, including unmanned aerial vehicles (UAVs), requires decision rules that run in real time on inexpensive sensors. This study formulates ...

As electric vehicles become more integrated into the nation’s transportation system, the American National Standards Institute (ANSI) is helping industry tackle the practical questions that come with ...

An open-source optimization framework developed with CERN has automated accelerator tuning at GSI and FAIR, cutting SIS18 ...

A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired ...

A curated, deliberately opinionated map of self-evolving / self-improving LLM agents: systems that keep changing themselves after deployment — refining their prompts, memory, tools, and even weights ...

Why Fund for Responding to Loss and Damage is relevant to the UPSC exam? What is the significance of topics such as PM-KUSUM, ...

Leveraging its strong technological moat in enterprise-grade AI Agents and AI4S, as well as its outstanding achievements in embedding AI into industrial upgrading, Fabarta has been officially invited ...

Mphasis in partnership with Copa Airlines, recently hosted a Quantum Computing Challenge, an international innovation contest. The challenge brought together teams from various Indian Institutes of ...

The conflict between stiffness and toughness is a fundamental problem in engineering materials design. However, the systematic discovery of microstructured composites with optimal stiffness-toughness ...