simulation engines for physical ai in 2026
an overview of modern simulation engines for robotics and physical ai, covering mujoco, isaac sim, isaac lab, and newton.
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an overview of modern simulation engines for robotics and physical ai, covering mujoco, isaac sim, isaac lab, and newton.
google ships three gemini flash models, data center power use forecast to quadruple, and a guide to running a local coding model with llama.cpp.
a guide to running the qwythos-9b-claude-mythos-5-1m model locally using llama.cpp and connecting it to pi for agentic coding tasks.
bloombergnef forecasts data centers will consume one-fifth of us electricity by 2035, driven by ai compute growth.
google deepmind released gemini 3.6 flash, 3.5 flash-lite, and 3.5 flash cyber, focusing on efficiency and specialized tasks, but the flagship pro model remains delayed.
treasury secretary warns of sanctions against chinese ai companies if open source models are found to have stolen american intellectual property.
google deepmind introduces a lightweight, fine-tuned model for finding and patching software vulnerabilities, available to trusted partners through codemender.
google deepmind launches gemini 3.6 flash with better coding and token efficiency, plus 3.5 flash-lite for high-speed agentic workflows.
anthropic's cat wu and thariq shihipar discuss how claude code and claude tag change software engineering, from rewriting codebases to automating 65% of prs.
deezer reports ai-generated tracks exceed 50% of daily uploads, prompting new takedown rules for unstreamed or fraudulent content.
grabette is an open-source handheld gripper that records manipulation tasks without a robot, turning them into training-ready datasets.
gritt robotics exits stealth with $34 million to deploy ai-powered robots that help construction crews install solar panels faster, aiming to address labor shortages in renewable energy build-out.
a new method splits networks to avoid storing activations during backpropagation, reducing memory use while keeping training stable.
a survey on methods, challenges, and emerging threats of making large language models forget sensitive or dangerous knowledge for cybersecurity.
a new algorithm combines reinforcement learning and gray relational analysis to improve multi-objective optimization for nasdaq portfolio selection.
mining error distributions from cloud gpu runs yields per-operator tolerances that improve bug detection recall by 9.3 percentage points.
new research shows how injecting malicious prompts during the planning phase can corrupt entire multi-agent llm workflows.
a new method for reliable uncertainty quantification that is computationally efficient and achieves self-calibration and prediction-conditional validity.