Topic
Running machine-learning inference directly on local devices—phones, sensors, robots—rather than in remote data centres, under tight power and latency limits.
In BAE Systems Bofors' January demonstration, the Swedish startup's onboard stack ranked objects, picked an armored engineering vehicle and released an explosive with no external link. The board details come from a different flight.
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GlobalFoundries topped out its 1.1 billion euro Dresden expansion on October 9, aiming for more than one million 300mm wafers a year by end-2028. FDX Fusion, the edge-AI process it announced alongside, is a far earlier bet that still needs German federal approval and customer qualification.
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Lola Vision Systems will license its compiler on existing chips, aiming at what its founder says can be roughly 200 hours of manual setup per new chip. Cheaper porting would let edge teams test a second board, though the company has not said how many of those hours its software saves.
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Onsemi will pay $123 a share in cash, about $5.7 billion, for Synaptics after a rival bid, replacing a June stock deal valued near $7 billion. The cash price sits 16% above Synaptics' Thursday close, so holders gain on the market even as the headline total shrinks.
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Simiao Niu's team built a battery-free shoe that runs AI on footstep power, sorting four activities with 95.4 percent accuracy. Charge-free gait monitoring for conditions like Parkinson's is the goal, though so far the shoe only labels activity, counts steps and estimates calories.
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SiMa.ai closed an oversubscribed $150M Series C co-led by Fidelity and Amplify at a $1.45bn post-money valuation, with J.P. Morgan and the State of Michigan among new backers. The round bets on chips that run AI on devices rather than in data centres.
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Jetson Orin Nano 2 takes the entry seat in edge robotics to 78 trillion operations per second, but not until 2027, and the memory figure is what decides which small models ship.
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The LightTok chip senses, stores and computes in the same pixel, and its authors report 87.3% recognition accuracy with a tenfold energy gain on turning light into tokens across an array of 1,024 pixels.
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At CIOE 2026 the company showed an infrared vision-language model trained on more than five million of its own thermal samples, built to describe gas plumes and electrical faults on the camera's own chip.
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The 20-watt brain frames the ambition of brain-inspired hardware. The working examples are event cameras tracking debris in orbit and a low-power processor sold by Australia's BrainChip, running alongside GPUs.
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The Perspective calls them self-organizing memristive networks and applies mean-field theory, graph theory and disordered-systems physics to their conductance dynamics, with the energy saving still stated as a motivation.
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A hacking group took a camera down from above a roadway and found the key to its media store sitting in plaintext on the same flash, in hardware whose business case is being cheap enough to leave unattended.
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Each classifier answers one randomly chosen question and trains in minutes on a laptop; the Bristol team says enough of them can pick one item out of millions, with no coordination between them.
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TERN's $11.26 million contract puts offline positioning and fleet-health monitoring on sensors the Army already owns, on a premise its president states plainly, that battlefield GPS can no longer be assumed.
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Analog Devices has disclosed a price for Alif Semiconductor, $1.35 billion of upfront cash with up to $200 million contingent, without disclosing anything about what Alif earns, so the comp everyone copies has no denominator.
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The Ensemble parts run Arm's Cortex-M55 cores and Ethos-U55 NPUs, so what Analog Devices is buying for up to $1.55B is the integration around them and a distribution channel Alif could not build alone.
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