Quantization – AI Story News – Daily AI Updates & Insights

Nov 6, 20255 min read

NeMo Automodel MoE boosts large-scale PyTorch training

NVIDIA introduced NeMo Automodel MoE, an open-source library that accelerates large-scale Mixture-of-Experts training directly in PyTorch. The release targets teams building billion-parameter systems that need to scale across clusters without custom infrastructure. Moreover, The update lands alongside two notable open tooling moves. NVIDIA detailed a cuVS integration that speeds Faiss vector search on GPUs. The […]

#Fine-Tuning #Hugging Face #Quantization

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Nov 6, 20256 min read

Dennis Crowley debuts location-based audio AI app BeeBot

Foursquare founder Dennis Crowley launched a location-based audio AI app that turns your headphones into a neighborhood DJ. The new service, called BeeBot, delivers short, contextual audio clips about nearby people, places, and events as you move through your day, according to reporting by Engadget. Moreover, BeeBot activates when you wear headphones and pauses when […]

#Federated Learning #Quantization #Reinforcement Learning

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Nov 5, 20255 min read

BeeBot AI DJ brings location-aware audio updates on iOS

Foursquare founder Dennis Crowley launched BeeBot AI DJ, a new app that delivers location-aware audio updates straight to your ears. The AI-powered experience starts automatically with your headphones and pauses when you remove them. The launch adds a timely machine learning twist to neighborhood discovery. BeeBot AI DJ debuts Moreover, BeeBot frames itself as an […]

#Federated Learning #Quantization #Reinforcement Learning

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Nov 4, 20255 min read

Robot learning breakthroughs debut at CoRL 2025 from NVIDIA

NVIDIA Research unveiled three robot learning breakthroughs at CoRL 2025, underscoring rapid progress from simulation to factory floors. The robot learning breakthroughs span dynamics modeling, exploration, and visuo-tactile control, with measured gains in accuracy and real-world success rates. Robot learning breakthroughs at CoRL 2025 Moreover, According to NVIDIA Research, the trio includes NeRD, Dexplore, and […]

#Federated Learning #Quantization #Reinforcement Learning

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Nov 3, 20255 min read

Quantization aware distillation restores 4-bit accuracy

NVIDIA highlighted two notable generative AI updates: new guidance on quantization aware distillation to recover accuracy at 4-bit precision and an integrated blueprint that fuses video understanding with retrieval‑augmented generation for richer summaries and Q&A. Moreover, The technical write‑up on quantization strategies explains how QAD aligns a quantized student model with a full‑precision teacher. The […]

#AI Update #Automation #Quantization

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Nov 3, 20255 min read

Quantization aware training improves 4-bit accuracy

NVIDIA outlined fresh guidance on quantization aware training to recover low-precision accuracy and introduced an integrated VSS-RAG blueprint for video analytics, signaling practical updates for open AI builders. These moves target two bottlenecks that frequently slow open development: precision loss after quantization and the challenge of bringing video into retrieval-grounded workflows. Quantization aware training takeaways […]

#Amazon AI #Hugging Face #Quantization

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Nov 3, 20255 min read

cuML profiling tools arrive in RAPIDS 25.08 update

NVIDIA introduced cuML profiling tools in the RAPIDS 25.08 release, giving developers clearer insight into accelerated machine learning performance. Alongside the data science update, Isaac Lab 2.3 delivers whole-body robot control, richer teleoperation, and new evaluation workflows. Together, these updates target faster iteration from data prep to deployment. cuML profiling tools: what’s new The latest […]

#Federated Learning #Quantization #Reinforcement Learning

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Nov 2, 20255 min read

Neural Robot Dynamics hits 0.1% reward error at CoRL

NVIDIA Research unveiled Neural Robot Dynamics at CoRL 2025, reporting a sub‑0.1% accumulated reward error on a Franka reach policy. The team positions the technique as a step toward reliable sim-to-real transfer. Early results suggest stronger generalization and faster fine-tuning in real environments. Neural Robot Dynamics explained Moreover, Neural Robot Dynamics, or NeRD, uses learned […]

#Federated Learning #Quantization #Reinforcement Learning

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Oct 31, 20255 min read

ICML 2024 highlights: trends shaping ML research now

ICML 2024 highlights key shifts in machine learning research, with state space models, efficient fine-tuning, and better tooling taking center stage. The conference wrapped with dense technical tracks and lively hallway debates in Vienna. Researchers and practitioners left with clear signals about what will matter next. ICML 2024 highlights: methods and tools Across papers and […]

#Federated Learning #Quantization #Reinforcement Learning

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