Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems - MarkTechPost
Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems| MarkTechPost
Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems| MarkTechPost
MIT’s LEGO compiler auto-generates AI accelerators, achieving 3.2× speedup and 2.4× efficiency over Gemmini with affine-based optimization| MarkTechPost
Alibaba Releases Tongyi DeepResearch: A 30B-Parameter Open-Source Agentic LLM Optimized for Long-Horizon Research| MarkTechPost
IBM releases GraniteDocling, an open-source compact document AI model with improved accuracy, multilingual support, and enterprise readiness| MarkTechPost
Holo1.5 open VLMs for computer-use agents: precise UI localization, UI-VQA, 3B/7B/72B models, Apache-2.0 7B, benchmark results| MarkTechPost
Building AI agents demands governed data pipelines, guardrails, monitoring, and ACL-aware retrieval—5% AI, 100% engineering discipline| MarkTechPost
AG-UI standardizes agent-frontend streaming via SSE/WebSockets: text, tool calls, and state synchronization with production-ready patterns| MarkTechPost
Newspaper is a WordPress theme that lets you write articles and blog posts with ease. We offer great support and friendly help! Create a great news website with our newspaper WordPress t...| ThemeForest
