Quantization – AI Story News – Daily AI Updates & Insights

Oct 14, 20254 min read

Neural Robot Dynamics at CoRL 2025 boosts robot learning

NVIDIA Research unveiled three robot learning advances at CoRL 2025, led by Neural Robot Dynamics. The team also introduced Dexplore and VT-Refine, which target autonomous exploration and visuo-tactile policy refinement. Together, these methods report notable gains in sim-to-real transfer and dexterous manipulation. Neural Robot Dynamics explained Neural Robot Dynamics (NeRD) replaces hand-tuned simulators with a […]

#Federated Learning #Quantization #Reinforcement Learning

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Oct 13, 20255 min read

ProRL v2 release leads week’s machine learning updates

NVIDIA signaled a busy week for AI research and tooling. The ProRL v2 release anchors a slate of updates across learning systems. New robotics methods and data science features arrived alongside it. ProRL v2 release extends LLM training Moreover, NVIDIA Research introduced ProRL v2, a prolonged reinforcement learning method for language models. The approach tests […]

#Federated Learning #Quantization #Reinforcement Learning

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Oct 12, 20255 min read

Isaac Lab 2.3 brings whole-body control and teleop

NVIDIA released an early developer preview of Isaac Lab 2.3, bringing whole-body control, broader teleoperation, and faster policy evaluation. The update advances sim-first robot learning and targets safer, cheaper iteration before deployment. Teams gain new data collection options and better training stability. Isaac Lab 2.3 highlights Moreover, The Isaac Lab 2.3 preview adds advanced whole-body […]

#Federated Learning #Quantization #Reinforcement Learning

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Oct 11, 20255 min read

ProRL v2 LLM training shows sustained gains in reasoning

ProRL v2 LLM training delivered sustained improvements in math, code, and reasoning, according to a new release from NVIDIA Research. The prolonged reinforcement learning approach continues to boost performance beyond typical schedules, addressing the question of whether large language models plateau under extended RL. The team reports robust gains after thousands of additional RL steps. […]

#Federated Learning #Quantization #Reinforcement Learning

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Oct 10, 20255 min read

NVIDIA Isaac Lab 2.3 adds whole-body robot control

NVIDIA launched an early developer preview of NVIDIA Isaac Lab 2.3, adding whole-body control, richer teleoperation, and new evaluation tools. The update anchors a week of research news that also features ProRL v2 for sustained LLM training and new R²D² breakthroughs in robot learning. NVIDIA Isaac Lab 2.3 highlights Moreover, The Isaac Lab 2.3 early […]

#Federated Learning #NVIDIA #Quantization

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Oct 9, 20255 min read

GPU-accelerated machine learning: RAPIDS 25.08 and Isaac

Two major NVIDIA updates push GPU-accelerated machine learning forward this month. The RAPIDS 25.08 release adds new cuML profilers and broadens the Polars GPU engine. In parallel, Isaac Lab 2.3 strengthens robot learning with whole-body control and expanded teleoperation. GPU-accelerated machine learning highlights Moreover, The RAPIDS 25.08 update focuses on visibility and scale. First, it […]

#Federated Learning #NVIDIA #Quantization

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Oct 7, 20255 min read

Machine learning moves to the edge in consumer gadgets

Machine learning stepped into mainstream gadgets this week as consumer devices leaned on on-device intelligence and smarter mapping. Retail spotlights around October shopping events underscored how edge processing now drives experiences once tied to the cloud. Moreover, That shift matters for privacy, speed, and reliability. It also signals a broader move to deploy trained models […]

#Federated Learning #Quantization

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