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Friday, 23 October 2026
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EST. 2026 INTELLIGENT JOURNALISM
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AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom • AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom • AI Tools AWS Physical AI Toolchain: What the Open Source Release Covers • AI Tools Gemini Personal Intelligence Android Auto Rollout: Who Gets It • AI Startups NVIDIA Germany Industrial AI Declaration Signed in Berlin • AI Tools OpenCode Breach: Which Console Keys Are at Risk and What to Revoke • AI Startups Tolan $30M Funding Round Draws USV, Khosla and Homebrew • AI Models Nvidia Releases Nemotron 3.5 Super VL and Two Bolt Models • AI Tools Replika Founder Launches Wabi, a Multi-Thread AI Assistant • Business CoreWeave AI Debt Selloff Tests the Infrastructure Boom •
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ST and NUS engineers examine an edge AI chip — stmicroelectronics launch corporate | Research
Latest News
STMicroelectronics and NUS Launch HELIX Edge AI Lab in Singapore

STMicroelectronics and NUS have opened the four-year HELIX Corporate Lab to research memory-centric, low-power hardware for edge and embodied AI. The program gives NUS researchers an industrial-grade 18nm FD-SOI and embedded PCM platform, but no prototype benchmarks or product timeline have been announced.

Alex Carter •