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Physical AI: Bridging Robotics, Material Science, and Artificial Intelligence for Next-Gen Embodied Systems
ByRicardoTable of contents What Do We Mean by “Physical AI”? How Do Materials Contribute to Intelligence? What New Sensing Technologies Are Powering Embodiment? Why Is Neuromorphic Computing Relevant for Physical AI? How Are Foundation Policies Changing Robot Learning? How Does Differentiable Physics Enable Co-Design? How Can We Assure Safety in Physical AI? What Benchmarks Are…
Deepdub Introduces Lightning 2.5: A Real-Time AI Voice Model With 2.8x Throughput Gains for Scalable AI Agents and Enterprise AI
ByRicardoDeepdub, an Israeli Voice AI startup, has launched Lightning 2.5, a real-time foundational voice mannequin designed to energy scalable, production-grade voice purposes. The new launch delivers substantial enhancements in efficiency and effectivity, positioning it for use in dwell interactive techniques equivalent to contact facilities, AI brokers, and real-time dubbing. Performance and Efficiency Lightning 2.5 achieves…
New AI Framework Evaluates Where AI Should Automate vs. Augment Jobs, Says Stanford Study
ByRicardoRedefining Job Execution with AI Agents AI agents are reshaping how jobs are performed by offering tools that execute complex, goal-directed tasks. Unlike static algorithms, these agents combine multi-step planning with software tools to handle entire workflows across various sectors, including education, law, finance, and logistics. Their integration is no longer theoretical—workers are already applying…
The rise of agentic artificial intelligence
ByRicardoThe rise of agentic AI fuels AI in ways traditional AI can’t. The scope of AI is plentiful, but there’s a small subsection of tasks Agentic AI is just better at, thanks to its increased levels of autonomy. With the improvement in capability comes a fresh look at how to manage such a tool within…
How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation?
ByRicardoIn this tutorial, we stroll by the method of constructing an superior AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret pure language instructions, simulate desktop duties similar to file operations, browser actions, and workflows, and present interactive suggestions by a digital setting. By combining NLP, job execution, and…