DeepSearch Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
MACHINE LEARNING
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Snorkel AI scales ML workflows 20x faster with Prefect
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Snorkel AI’s ML Foundations team runs tens of thousands of workflows daily with @PrefectIO OSS—20x faster throughput, less tech debt, and tools engineers love using. Read more from our Principal Engineer Smit Shah!
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Open Source ANPR System on Axelera Edge Hardware
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ANPR that actually works and you can build yourself. Cascaded detection models, YAML configs, RS-232 output for real world control, all running on Axelera AI edge hardware. Open source edge #AI doing genuinely useful stuff You can build this, and integrate it with…
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PC Programs Internet Apps AI Age Brains Evolution
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PC age: programs
Internet age: apps
AI age: brains -
Open-Source Physics Engines Accelerate Physical AI Robot Deployment
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Building robots that can effectively operate alongside human workers is difficult. 🛠️
— NVIDIA (@nvidia) 2 octobre 2025
Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment.
✔️ Newton Physics Engine, an open-source GPU-powered simulation built on… pic.twitter.com/3HjQo5JXi8Building robots that can effectively operate alongside human workers is difficult. Advances in open-source physics, open foundation models, and frameworks are helping accelerate physical #AI deployment. Newton Physics Engine, an open-source GPU-powered simulation built on
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100+ Free AI Agents and RAG Systems Step-by-Step Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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2026 Nobel Prize Predictions: Altman, Li, and Sutton
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Still in denial? This year's Nobels will go to Sam Altman for Sora 2, Fei Fei Li for putting the dogs into ImageNet, and to Rich Sutton for discovering that we need to stop doing physics manually
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Video Model Control Using Text Prompts and VLM Success Detection
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Thanks. What I had in mind is: The control is eg the text prompt. Then one simulates forward with the video model. One verifies whether the desired goal was attained using eg VLM success detectors https://
arxiv.org/abs/2303.07280. The action text is an intermediate signal generated by a -
LinkedIn Uses User Data to Train Generative AI Models
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LinkedIn Uses User Data to Train Generative AI Models
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
RDMA Optimization Unlocks Fast Parameter Updates Distributed RL
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Weight transfer is one of the biggest bottlenecks when performing distributed RL on high-capacity models. Our first Perplexity Research blog explains how Perplexity's inference engineers harnessed RDMA point-to-point communication to unlock ultra-fast parameter updates for