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DoorDash Labs Named Innovation Team of the Year for Dot Robot Launch

DoorDash's internal labs division has been recognized as Innovation Team of the Year after building the autonomous delivery robot Dot, which launched commercially in fall 2025. The cross-functional team created a platform that plugs directly into delivery workflows while accounting for local merchants' order-fulfillment capacity, taking the project from concept to market in roughly three years.

Vaire Computing develops chip resonator that recovers wasted energy

Startup Vaire Computing, led by founder Earley, has built a chip featuring a patent-pending resonator that reclaims energy typically lost as heat during computation. Last year the company demonstrated a version that recovered more energy than it consumed, even after accounting for the power needed to run the component itself, marking an early proof of concept for a decades-old theoretical idea called reversible computing.

AI researcher Danijar Hafner builds world models to let robots plan for surprises

Danijar Hafner is developing 'world models' — AI systems that simulate physical reality — and training reinforcement-learning agents inside them so robots can anticipate outcomes before acting in the real world. This model-based approach lets agents rehearse complex tasks virtually, avoiding the costly trial-and-error training typical of conventional robotics. Hafner, a former Google Brain and DeepMind researcher who worked alongside figures like Geoffrey Hinton, is now recognized as a rising talent in AI research.

Arm unveils C2-Ultra CPU core aimed at 2027 flagship phones

Arm has announced its new C2-Ultra CPU architecture, the successor to last year's C1-Ultra, which is expected to appear in Samsung Exynos and MediaTek Dimensity chips around 2027, and possibly Google's Tensor G7. Arm claims up to 15% peak performance gains over its predecessor, though most of that comes from a higher 4.45GHz clock speed rather than architectural changes, while power efficiency improves by 38% at equivalent performance thanks to a 2nm process and larger L2 cache.

Fraudster in Germany sells hollow RTX 5090 GPUs, pockets $5,000 from two buyers

A scammer in Germany sold at least two 'hollow' GeForce RTX 5090 graphics cards, stripped of their GPU die and memory chips, to unsuspecting buyers who paid thousands of dollars for worthless hardware. One victim bought a used Palit RTX 5090 GameRock OC for about $2,090, even meeting the seller in person, but had no way to test the card before handing over cash. Hardware enthusiast Roman 'der8auer' Hartung publicized the cases after uncovering the scheme.

Samsung: Flexible screen corners on Galaxy Z Fold 8 are intentional, not faulty

Samsung has responded to user complaints about soft, sinking corners on the Galaxy Z Fold 8's inner display, stating the flex is a deliberate design feature rather than a hardware flaw. A company representative told Korean outlet BusinessPost that the cushioning effect helps protect the display from impacts and trapped debris like sand.

Google DeepMind releases AlphaGenome Atlas mapping all possible human DNA mutations

Google DeepMind has launched AlphaGenome Atlas, a database that predicts the molecular effects of every one of the roughly nine billion possible single-letter changes across the human genome. The tool is accessible via a web portal, the Antigravity development platform, and the AlphaGenome interface, and comes bundled with a new Variant Impact Score to help researchers prioritize which mutations are most likely to matter.

Samsung and TSMC to adopt ASML's High NA EUV chipmaking tools by 2028-2030

Samsung and TSMC, the world's two largest chipmakers, have confirmed plans to deploy ASML's High NA extreme ultraviolet lithography systems, machines that can cost roughly $400 million each and etch finer circuit patterns onto silicon wafers. Samsung plans to use the tools for DRAM production starting in 2028 and expand its scaling roadmap by 2030, while TSMC expects broader adoption driven by increasingly complex transistor designs needed for AI chips. Both companies join Intel as customers of the technology.

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