In 2 days, Unitree's robots have learned to walk more humanely. Wow.pic.twitter.com/LDSz7aNi7M
— Chubby♨️ (@kimmonismus) 1 novembre 2024
In 2 days, Unitree's robots have learned to walk more humanely. Wow.
HARDWARE
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Unitree robots learn humanlike walking in two days
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Miniaturizing Reactor and Thruster Technology for Sub-Meter Drones
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Yes, but the smallest block is 25 cm. So if we add such small reactor, gyro, thrusters, then you can have a small drone that has let’s say less than a meter.
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Adidas AI Shoes Receive Sarcastic Product Review Online
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like an ill-fitting hoodie and lego adidas shoes? congrats on a truly great product!
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VRAGE3 25cm Unified Grid System: The Future
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VRAGE3: 25cm Unified Grid System This is the future
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VP Software Engineering Discusses Semiconductors at Hard Tech Summit
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Our VP of Software Engineering, Alex Grbic, will be a panelist for @ventureLABca
's 4th annual #HardTechSummit on November 6! Join a panel of industry leaders as they discuss #semiconductors' role in powering the future of everything! Register Now: https://
events.zoom.us/ev/AkFOACfiOUF
7HBTS6kmWvVPYYXztV6lTPqcB7y4eK2DA-phOlC84AqPq2Sonjf5maYSFCCBJ-qaDKeD4gH3U4EraWVxDkIC1A0lB0U9I9nlikqp8DGVVFwU6I7SKGEvGezInTIoH8JSXDw
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Meta Partners with GelSight and Wonik Robotics for Touch-Sensing Innovation
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To make these advancements more accessible for different applications, we’re partnering with @GelSight and Wonik Robotics to develop and commercialize these touch-sensing innovations. We’re excited about how this will enable the community to contribute and drive progress in this
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Meta FAIR Announces New Robotics and Touch Perception Developments
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Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work.
— AI at Meta (@AIatMeta) 31 octobre 2024
Details on all of this new work ➡️ https://t.co/kpyQ77bnAH
1️⃣ Meta Sparsh is the… pic.twitter.com/FoLSjGDyu0Today at Meta FAIR we’re announcing three new cutting-edge developments in robotics and touch perception — and releasing a collection of artifacts to empower the community to build on this work. Details on all of this new work https://
go.fb.me/mmmu9d Meta Sparsh is the -
Learned Vision Modules and Traditional Engineering for Robot Dexterity
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Nice demo! Learned modules for vision plus GOFE (good old fashioned engineering). Some dexterity and impressive body joint coordination. (I like the “Fully Autonomous” text in the corner.) As you noted Chris: “no end-to-end stuff.” 😉 https://t.co/yTiFQcGTQN
— Ken Goldberg (@Ken_Goldberg) 31 octobre 2024Nice demo! Learned modules for vision plus GOFE (good old fashioned engineering). Some dexterity and impressive body joint coordination. (I like the “Fully Autonomous” text in the corner.) As you noted Chris: “no end-to-end stuff.” 😉
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VRAM Requirements for AI Models Across Hardware Architectures
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It should work on CPU/ CUDA/ MPS across backends, w.r.t hardware requirements: 1B should take roughly 2GB VRAM to load in fp16/ bf16.
600M should take 1.2 GB VRAM
350M – ~700MB VRAM
125 – ~250MB VRAM Ofcourse at lower quants Q4/ Q8 you reduce this even further.
