I’m fond of torch.set_default_device(‘cuda’)
HARDWARE
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Ultimate CES 2026 Guide: AI Panels, Parties and Robots
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💥The Ultimate CES 2026 Guide: Hottest AI Panels, Parties And Robots By @Forbes v/ @chidambara09 #CES2026 #Innovation #AI #WearableTech #Robotics #Engineering #HealthTech forbes.com/sites/martinepari… Chidambara .ML. (@chidambara09) forbes.com/sites/martinepari… my @enilev🪔mom Mr @BetaMoroney sir ThX🌐#BOSCh #ecb #Pfizer #Chevron #CES2026 @CES #ces #usa #uk #europe #frenchtech #Technology #DiGitaLhealth #ai Chidu09.BOSCh.com 🍁 — https://nitter.net/chidambara09/status/1995158047237546319#m
→ View original post on X — @marcusborba, 2025-12-01 16:32 UTC
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Robotic hands and humanoid developments dominate robotics news
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Top stories in robotics today: – Lifelike robotic hand mimics human grip
– Hugging Face’s robotics lead launches startup
– China sounds alarm on humanoid bubble
– Robots rebuild Pompeii’s shattered frescoes
– Quick hits on other robotics news Read more: https://
robotnews.therundown.ai/p/the-creepies
t-robot-just-got-hands
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Flexion Robotics Raises $50M Series A for Humanoid Robot Intelligence
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Humanoid robotics just got a major boost. @FlexionRobotics has raised a $50M Series A to build what could become the intelligence layer for the next generation of humanoid robots. The Zurich-based team, led by Nikita Rudin (with experience from ETH Zurich, NVIDIA, Meta, Google, and Tesla), is taking a different approach than most in the space: 🔹 Language-level task reasoning 🔹 A VLA model trained heavily in simulation 🔹 Transformer-based whole-body control The ambition? Robots that don’t just replay human demos, but actually understand, adapt, and perform tasks with true autonomy. If humanoids are ever going to be useful in factories, logistics centers, and real industrial environments, someone has to solve this intelligence layer. Flexion is taking that challenge head-on. With $50M in fresh capital, they’re now scaling compute, expanding robot fleets, and moving toward deployments with major OEMs. And honestly? Watching the progress — even the way these robots walk — is incredible. #AI #Robotics #Humanoids #Automation #DeepLearning #FutureOfWork Source 🙏 @lukas_m_ziegler @IanLJones98 @NevilleGaunt @bamitav @altiamkabir @sijlalhussain @marcusborba @jblefevre60 @Nicochan33 @TerenceLeungSF @KirkDBorne @CurieuxExplorer @enilev @Eli_Krumova @pascal_bornet @anand_narang @sulefati7 @Xbond49 @Hana_ElSayyed @engmlubbad @Timothy_Hughes @mcanducci @RLDI_Lamy @segundoatdell @engmlubbad @rvp @ipfcoline1 @PatGrant7777 @NigelTozer @Ronald_vanLoon @pierrepinna @Khulood_Almani @BetaMoroney @AkwyZ
→ View original post on X — @marcusborba, 2025-12-01 12:42 UTC
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NVIDIA NVQLink: Connecting Quantum Computing and GPU
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NVIDIA Introduces NVQLink — Connecting #Quantum and #GPU Computing for 17 Quantum Builders and Nine Scientific Labs https://nvidianews.nvidia.com/news/nvidia-nvqlink-quantum-gpu-computing
… @nvidia
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Nuclear Fast-Reactor Powers AI Data Centers Innovation
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World’s first fast-neutron nuclear reactor to power AI data centers! https://
share.google/KQxnJfs4pQf9qB
Edf
… #DataCenters #nuclearreactor #nuclear #artificial_intelligence #AI -
Mattress Sensor Detects Health Issue Before Smartwatch
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Agree. It should have been detected by the smartwatch but, at least in this case, the mattress sensor was the first to pick up CHB
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Smartwatch and mattress sensor diagnose complete heart block
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How a mattress sensor and smartwatch confirmation led to a patient's diagnosis of complete heart block and need for a pacemaker @NEJM https://
nejm.org/doi/full/10.10
56/NEJMicm2510111
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Octane 2027 achieves photorealistic realtime path tracing with RTX 5090
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Octane 2027 is insanely photorealistic — this is realtime path tracing on a 5090 w/ DLSS.
— Bilawal Sidhu (@bilawalsidhu) 29 novembre 2025
Realtime and “offline” rendering is on a glorious collision course.pic.twitter.com/lMywVM9tD0Octane 2027 is insanely photorealistic — this is realtime path tracing on a 5090 w/ DLSS. Realtime and “offline” rendering is on a glorious collision course.
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Cloud TPUs Widely Used by Large Companies and Startups
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This seems decidedly false: there are lots of large companies and startups using Cloud TPUs to train and serve important models and run ML workloads of various kinds. Some of these are discussed in various public news articles and many are not.