At Web Summit Qatar, AI-powered biotech startups describe how automation, data, and gene editing are filling labor gaps in ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

While most AI tools focus on answers, summaries, and suggestions, ConscioussAI is built around a more practical goal: helping ...

Abstract: Multi-machine collaboration in agricultural machinery is a key focus in current research, with task allocation being an indispensable component. However, the current optimization objectives ...

New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...

You may feel inventive and compelled to explore new ways of completing tasks, solving problems, and looking at the world today. These creative stirrings could help you become more efficient at your ...

The big AI companies promised us that 2025 would be “the year of the AI agents.” It turned out to be the year of talking about AI agents, and kicking the can for that transformational moment to 2026 ...

This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...

Section 1. Purpose. United States leadership in Artificial Intelligence (AI) will promote United States national and economic security and dominance across many domains. Pursuant to Executive Order ...

I know that teachers play the most significant role in any learning situation, and studies have shown that investing in teacher learning is more important than investing in new curriculum, books—or ...

NVIDIA's ToolOrchestra employs small orchestration agents to optimize AI tasks, achieving superior performance and cost-efficiency. Discover how this innovation is reshaping AI paradigms. In a ...