The Electronaissance marches on!
HARDWARE
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Protective Drone Cage Enables Access to Unreachable Locations
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Este dron llega donde nadie más puede, envuelto en una jaula de acero es capaz de moverse por los lugares más inaccesibles sin sufrir accidentes que harían que el equipo se perdiera para siempre.
— Juan Merodio (@juanmerodio) 19 août 2025
Una idea simple pero efectiva que abre un mundo de posibilidades. pic.twitter.com/UaFyQdGlruEste dron llega donde nadie más puede, envuelto en una jaula de acero es capaz de moverse por los lugares más inaccesibles sin sufrir accidentes que harían que el equipo se perdiera para siempre. Una idea simple pero efectiva que abre un mundo de posibilidades.
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Brain chip decodes inner monologues in real time
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Groundbreaking brain chip decodes people’s inner monologues in real time https://
independent.co.uk/tech/brain-chi
p-reads-inner-thoughts-speech-b2809479.html
…. #technology #Innovation #MentalWellness #technews2000 -
Figure’s CEO teases Helix neural network upgrade with Nvidia GPUs
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Figure's CEO Brett Adcock just teased a major upgrade for the company's Helix neural network
— The Rundown AI (@TheRundownAI) 19 août 2025
He shared a clip that shows Nvidia CEO Jensen Huang handing him a box of RTX Pro 6000 Blackwell GPU
More details expected soonpic.twitter.com/FJNKi93qDaFigure's CEO Brett Adcock just teased a major upgrade for the company's Helix neural network He shared a clip that shows Nvidia CEO Jensen Huang handing him a box of RTX Pro 6000 Blackwell GPU More details expected soon
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Major Cloud Gaming Upgrade Announced for Better Performance
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Just announced: The biggest cloud gaming upgrade. Ever.
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XQuant: KV Cache Rematerialization Breaks LLM Memory Limits
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XQuant Breaking the Memory Wall for LLM Inference with KV Cache Rematerialization
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LFM2-VL Support Added for GGUF and llama.cpp
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LFM2-VL support with GGUF and llama.cpp 🥳
— Maxime Labonne @ ICLR (@maximelabonne) 18 août 2025
You can now run these tiny, hyper-efficient VLMs on your watch!
We released quantized checkpoints for LFM2-VL-450M and LFM2-VL-1.6B on @huggingface pic.twitter.com/DfK3p1MA08LFM2-VL support with GGUF and llama.cpp You can now run these tiny, hyper-efficient VLMs on your watch! We released quantized checkpoints for LFM2-VL-450M and LFM2-VL-1.6B on @huggingface
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Moderna and IBM Partner on Quantum Computing for mRNA Drug Design
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Breakthrough: @moderna_tx and @IBM are teaming up to supercharge mRNA drug design using quantum computing. By leveraging variational quantum algorithms (VQAs), they’re tackling the challenge of predicting #mRNA secondary structures—key to accelerating next-gen therapies.
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Humanoid Robot Masters Fried Rice Cooking From Scratch
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Look at this robot make fried rice from scratch!
— Amitav Bhattacharjee (@bamitav) 17 août 2025
pic.twitter.com/Zk8N1tmJk8#Cooking #chef #AI #ArtificialIntelligence #technology #tech #robotech #Robots #robotics #humanoidrobot #humanoid @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier…Look at this robot make fried rice from scratch! #Cooking #chef #AI #ArtificialIntelligence #technology #tech #robotech #Robots #robotics #humanoidrobot #humanoid @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier
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SLMs offer efficiency; LLMs require massive resources. Keep improving.
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clean point, slms got that efficiency while llms need a whole server farm to stretch, keep stacking those gains