Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Overview: Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
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Anysphere, the developer of the AI code editor 'Cursor,' has announced a new model for its coding agent, 'Composer 2.5.' Composer 2.5 is available on Cursor and is said to be significantly improved ...
Abstract: This study proposes a novel two-stage framework that integrates Digital Twin (DT) with Reinforcement Learning (RL) for failure prediction in optical communication networks. The framework ...
Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...
AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...
Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production. Modern Python tools enhance model performance, scalability, and deployment ...
Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...
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