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    Nvidia plans watchdog chip to monitor AI agentsโ–ผNvidia wants to put a watchdog chip next to every AI agentYhnTechnologyAI15511 min ago

    Nvidia is pushing a watchdog chip designed to sit alongside every AI agent, supervising its actions and intervening when behaviour goes wrong. The announcement, reported by CNBC, signals Nvidia's effort to make autonomous AI systems safer and more accountable as they spread through enterprise software. Discussion is focused on whether dedicated oversight hardware is a genuine safety breakthrough or a way for Nvidia to sell more chips.

  2. 2
    TSMC Quietly Setting the Price Every AI Chip Company Paysโ—TSMC Is Quietly Setting the Price Every AI Chip Company Has to Payโœ‰newsTechnologySemiconductors23 min ago

    TSMC is shaping the economics of the entire AI chip industry, as the dominant contract manufacturer for leading chip designers. A report argues the Taiwan-based foundry effectively dictates what AI chip companies must pay for manufacturing capacity. With demand for AI accelerators surging, TSMC's pricing power and advanced process nodes give it leverage over customers like Nvidia, AMD and countless startups racing to ship AI hardware.

  3. 3
    SiMa.ai raises $150m at $1.45bn valuation to challenge Nvidiaโ—SiMa.ai raises $150m at $1.45bn valuation to rival Nvidia at the edgeโœ‰newsTechnologySemiconductors23 min ago

    US edge-AI chip startup SiMa.ai has raised $150 million in new funding at a $1.45 billion valuation, positioning itself as a challenger to Nvidia in edge artificial intelligence. The company builds machine-learning processors designed to run AI workloads directly on devices rather than in data centres. The funding round is drawing attention in semiconductor circles as investors seek alternatives to Nvidia's dominance in AI computing hardware.

  4. 4
    SiMa AI reaches $1.45 billion valuationโ—Physical AI chip developer SiMa AI hits $1.45B valuationโœ‰newsTechnologySemiconductors23 min ago

    Edge AI chip developer SiMa AI has hit a $1.45 billion valuation, according to TechCrunch. The company makes chips designed for physical AI applications such as robotics and machine vision, running AI workloads on devices rather than in data centers. The new valuation follows a funding round, underscoring continued investor appetite for semiconductor startups focused on embedded and edge AI hardware.

  5. 5
    Synopsys launches AI platform to design chips autonomouslyโ—Synopsys debuts Autopilot platform for developing chips autonomously using AI โ€” New AgentEngineer platform is poised for 'general availability' by the end of 2026โœ‰newsTechnologySemiconductors23 min ago

    Synopsys has introduced AgentEngineer, an Autopilot-style platform that uses AI agents to carry out chip development tasks autonomously. The company says the technology is expected to reach general availability by the end of 2026, marking a push to automate parts of the traditionally labor-intensive chip design process.

  6. 6
    AMD to pay US$8.2 billion for Fei-Fei Li's world-modeling startupโ—AMD pays US$8.2 billion for Fei-Fei Li's 3D world-modeling startup to shape future AI chipsโœ‰newsTechnologySemiconductors23 min ago

    AMD is acquiring Fei-Fei Li's 3D world-modeling startup in a deal valued at US$8.2 billion, with the technology expected to inform the design of the company's future AI chips. The move signals AMD's push to strengthen its position in the AI silicon market against rivals like Nvidia, betting that spatial and world-modeling AI will shape next-generation computing.

  7. 7
    NVIDIA Adds In-Chip Watchdog for Rogue AI Agentsโ—NVIDIA Adds In-Chip Watchdog to Rein In Rogue AI Agents, 100 Firms Joinโœ‰newsTechnologySoftware27 min ago

    NVIDIA has announced an in-chip watchdog feature designed to monitor and contain misbehaving AI agents, with around 100 companies joining the initiative. The hardware-level safeguard aims to detect rogue autonomous agents before they cause damage, reflecting growing industry concern over AI safety and control as agentic systems are deployed more widely.