With how promising Evolution Strategies is as an RL alternative, we just completed our own research to compare and evaluate it against GRPO! Our major finding lines up with the ES paper: Evolution Strategies can beat GRPO even when you have only a little fine-tuning data.
MACHINE LEARNING
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Radiologists and AI fail to spot deepfake medical scans.
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The majority of radiologists and 4 LLMs were unable to differentiate synthetic, deepfake scans from real ones https://
pubs.rsna.org/doi/10.1148/ra
diol.252094
… @RSNA -
FlashAttention-4 Release Bridges Gap Between Research and Production
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FlashAttention-4 in the official release is huge. The gap between research implementations and production-ready code keeps shrinking. Also nice to see MPS getting more love, Apple Silicon users have been waiting.
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cuVSLAM: GPU-Accelerated Visual SLAM for Real-Time Applications
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cuVSLAM: Accelerating Real-Time Visual SLAM With GPU Power
— Satya Mallick (@LearnOpenCV) 24 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore cuVSLAM, NVIDIA’s GPU-accelerated solution for visual simultaneous localization and mapping (SLAM). Designed for real-time applications like… pic.twitter.com/vc4Vfpkd1HcuVSLAM: Accelerating Real-Time Visual SLAM With GPU Power In this episode of Artificial Intelligence: Papers and Concepts, we explore cuVSLAM, NVIDIA’s GPU-accelerated solution for visual simultaneous localization and mapping (SLAM). Designed for real-time applications like
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Agent 4 Buildathon: Idea to Launch in Three Weeks with Prizes
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3,000+ builders signed up! Three weeks to go from idea to launch. $57K+ in prizes. 🔥
— Replit ⠕ (@Replit) 24 mars 2026
The Agent 4 Buildathon kicks off today at 9 AM PT / 12 PM ET.
Join the livestream and start building! https://t.co/IGzVjF38FD3,000+ builders signed up! Three weeks to go from idea to launch. $57K+ in prizes. The Agent 4 Buildathon kicks off today at 9 AM PT / 12 PM ET. Join the livestream and start building!
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No-Code AI and Top 10 Machine Learning Trends 2025
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How could you use no-code AI to boost your projects? Top 10 Machine Learning Trends to Watch in 2025 https://
graphite-note.com/machine-learni
ng-trends/
… #AI #MachineLearning #IoT #WMC26 #5G -
SSD: Fast and Accurate Object Detection for Mobile Systems
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SSD: Fast & Accurate
— Satya Mallick (@LearnOpenCV) 24 mars 2026
YOLO was fast but struggled with small objects. In 2016, SSD (Single-shot Multi-box Detector) took the stage. 🚀
Predicts objects at multiple scales 🗺️
Uses anchor boxes for different shapes
Balanced speed + accuracy, perfect for mobile & embedded systems… pic.twitter.com/5jT3aCe7MSSSD: Fast & Accurate YOLO was fast but struggled with small objects. In 2016, SSD (Single-shot Multi-box Detector) took the stage. Predicts objects at multiple scales Uses anchor boxes for different shapes
Balanced speed + accuracy, perfect for mobile & embedded systems -
hf-mount: Mount Hugging Face Storage as Local Filesystem
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hf-mount Attach any Storage Bucket, model or dataset from @huggingface as a local filesystem This is a game changer, as it allows you to attach remote storage that is 100x bigger than your local machine's disk. This is also perfect for Agentic storage!! Read-write for Storage Buckets, read-only for models and datasets. Here's an example with FineWeb-edu (a 5TB slice of the Web): 1️⃣> hf-mount start repo datasets/HuggingFaceFW/fineweb-edu /tmp/fineweb It takes a few seconds to mount, and then: 2️⃣> du -h -d1 /tmp/fineweb 4.1T ./data 1.2T ./sample 5.3T . 🤯😮 Two backends are available: NFS (recommended) and FUSE Let's f**ing go 💪
→ View original post on X — @thom_wolf, 2026-03-24 13:34 UTC
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Arena Physica Builds EM Foundation Model for Physics
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@PratapRanade
's argument is that humans didn't evolve to intuit EM fields, but machines can be taught to. His company, @arenaphysica
, is building an EM foundation model (like an LLM but for physics instead of language) that learns the relationship between shapes and fields -
IndiaAI Challenge: AI Tools for Renewable Energy Land Assessment
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The IndiaAI Innovation Challenge for Transforming Governance is calling innovators to design AI tools that can evaluate land parcels for renewable energy potential, grid connectivity, and environmental risks—making energy planning faster, smarter, and more sustainable in Andhra