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NVIDIA Jetson Orin Nano 2 brings physical AI to drones and robots

NVIDIA has unveiled the Jetson Orin Nano 2, an edge robotics computer aimed at bringing physical AI to drones, robots, and vision systems. The company is positioning the new board as an entry-level option for developers who want generative AI models running directly on a machine instead of inside a data centre. NVIDIA’s argument for […]

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XPENG IRON humanoid robot draws record physical AI funding

XPENG’s physical AI unit has secured over $900 million at a $6.3 billion valuation to scale its IRON humanoid robot platform. The Chinese electric vehicle maker announced the funding round for its robotics business through a set of share purchase agreements with multiple investors. XPENG says the deal represents the largest single-round private capital raise

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SenseTime’s Galaxy Project targets domestic AI chip scale-up

SenseTime has launched the Galaxy Project, teaming with nearly 20 partners to scale domestic AI chip infrastructure in China. In a keynote titled ‘Intelligent Transformation and Symbiosis,’ Yang Fan – the company’s co-founder and president of its Large Device Business Group – laid out what SenseTime describes as a closed loop connecting chip-level technology, ecosystem

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The math behind the OpenAI Jalapeño chip

OpenAI’s financial trajectory hinges heavily on infrastructure costs, a reality that drove the development of the new custom OpenAI Jalapeño chip. Developed in collaboration with Broadcom, the application-specific integrated circuit (ASIC) represents a direct attempt to mitigate the heavy capital expenditure associated with third-party hardware.  While Nvidia currently commands an estimated 75% profit margin on

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Benchmarks of Sakana AI Fugu standard and Ultra compared to rival frontier models.

Mitigating vendor lock-in with Sakana AI Fugu multi-agent models

Sakana AI launched Fugu to orchestrate multi-agent operations and mitigate single-vendor dependency risks in enterprise deployments. Enterprises face operational vulnerabilities when relying entirely on monolithic AI APIs. Japanese AI firm Sakana AI designed Fugu as a response to these concentration risks by creating an orchestration language model that calls upon a pool of varied models

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How C3 AI agents will automate predictive maintenance for Shell

Shell will use agents from C3 AI to shift from basic anomaly detection towards fully-automated predictive maintenance. The global energy giant is building on their current use of the C3 AI Reliability Suite, which already keeps tabs on more than 30,000 crucial pieces of equipment across upstream and downstream operations. Shell now intends to lean

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Physical AI moves closer to factory floors as companies test humanoid robots

British technology company Humanoid will deploy humanoid robots at factories operated by German industrial supplier Schaeffler, Reuters reported. The two companies’ agreement covers an estimated 1,000 to 2,000 robots in Schaeffler’s global manufacturing sites by 2032, according to a Humanoid spokesperson. The companies have not disclosed the contract value. The first deployment is scheduled between

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Physical AI raises governance questions for autonomous systems

Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion.

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What LG and NVIDIA’s talks reveal about the future of physical AI

LG is currently engaged in exploratory discussions with NVIDIA concerning physical AI, data centres, and mobility. Following a meeting in Seoul between LG CEO Ryu Jae-cheol and Madison Huang, Senior Director of Product Marketing for Omniverse and Robotics at NVIDIA, the core operational dependencies required to run complex automated systems are becoming apparent. While the

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Sony AI robot beats players as humanoid robot wins Beijing race

An autonomous table tennis robot developed by Sony AI has competed against and defeated high-level human players in regulated matches, according to Reuters. The system is part of a broader category often referred to as “physical AI,” where artificial intelligence is applied to machines operating in real-world environments. The robot, named Ace, was designed to

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