Make a Robot Arm Feel Weightless with NVIDIA Holoscan 5
Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a...
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Picture guiding a robot arm by hand while its motors supply just enough torque to support its weight and keep the robot upright. This simple interaction, a...
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Since coding is solved, why code for the job?
Old benchmarks approach perfect scores, yet new benchmarks consistently fall short in real-world performance. As large-model evaluation itself has become a business, companies are shifting their selection criteria from ranking-based assessments to cost‑benefit analyses.
OpenAI’s cutting-edge GPT-6 and 6.1 series models (Astra, Sol, Luna) will be launched on Google Cloud Model Garden in the coming weeks and integrated into Google’s agent-driven programming tool, Antigravity; this move makes Google the first mainstream cloud provider to offer all three major closed-source large models—Gemini, Claude, and GPT.
Google has launched the Antigravity scientific AI platform, integrating the ProtNLM protein function prediction model, the AlphaFold structural database, and genome-context reasoning capabilities to help biologists, in a single interactive session, identify, validate, and prioritize novel antimicrobial peptides (AMPs) from vast pools of unannotated proteins—such as the millions of “dark matter” sequences in UniProt—throughout the entire workflow. The first candidate molecule (UniProt ID: A0A0U0D591) has already entered the wet-lab validation phase.
Introducing Google Antigravity 2.0