The Past Is Not Past Memory-Enhanced Dynamic Reward Shaping paper: https://
huggingface.co/papers/2604.11
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MACHINE LEARNING
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Memory-Enhanced Dynamic Reward Shaping in RL Research
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QuanBench+: Unified Benchmark for LLM-Based Quantum Code Generation
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QuanBench+ A Unified Multi-Framework Benchmark for LLM-Based Quantum Code Generation paper: https://
huggingface.co/papers/2604.08
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Andhra Pradesh Releases Mulberry Leaf AI Dataset
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The Department of Sericulture, Government of Andhra Pradesh, has published an open Mulberry Dataset on AI Kosh — India's national AI data platform. This dataset of mulberry leaf images and field metadata is designed for researchers and innovators to build AI models that assess
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Nvidia Releases Ising Open-Source Quantum AI Model Family
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Nvidia just released Ising, the world's first family of open-source quantum AI models.
— The Rundown AI (@TheRundownAI) 14 avril 2026
The models cut quantum processor setup from days to hours and correct errors 3x more accurately than anything currently available.
Harvard, Fermilab, and 20+ institutions are already using… pic.twitter.com/XI8HpJMCeRNvidia just released Ising, the world's first family of open-source quantum AI models. The models cut quantum processor setup from days to hours and correct errors 3x more accurately than anything currently available. Harvard, Fermilab, and 20+ institutions are already using
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AI-Native: Beyond Buzzword to Business Reality
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How '#AI-Native' Is More Than Just A Buzzword
by @claudemandy @Forbes Learn more: https://
buff.ly/zvsgJEf #ArtificialIntelligence #MachineLearning #ML -
Mixture-of-Recursions: Dynamic Recursive Depths for LLM Tokens
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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: https://
arxiv.org/abs/2507.10524 #ArtificialIntelligence #AIAgents #LLM -
Mixture-of-Recursions: Dynamic Recursive Depths for Adaptive Token Computation
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Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation Bae et al.: https://
arxiv.org/abs/2507.10524 #ArtificialIntelligence #AIAgents #LLM -
Latest AI Robotics Research Breakthroughs Daily Newsletter
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Research paper link: https://
pnas.org/doi/10.1073/pn
as.2519129123
… I break down stories like this every day in my free newsletter. Keep up with the latest in AI/Robotics in 5 min a day: -
Math Trick Cuts AI Memory Usage 10x in LLMs
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A math trick just cut AI memory usage by 10x without losing accuracy.
— AlphaSignal AI (@AlphaSignalAI) 14 avril 2026
Large language models that "think longer" hit a wall.
The more tokens they generate, the more memory their key-value cache eats.
Most compression methods decide what to keep based on recent attention… pic.twitter.com/XpPuRbKzALA math trick just cut AI memory usage by 10x without losing accuracy. Large language models that "think longer" hit a wall. The more tokens they generate, the more memory their key-value cache eats. Most compression methods decide what to keep based on recent attention
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Artifacts as Memory Beyond Agent Boundary: Formal Framework
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// Artifacts as Memory Beyond the Agent Boundary // An agent doesn't always need a bigger memory buffer. Sometimes the environment itself remembers on the agent's behalf. New research formalizes this intuition mathematically for the first time. The work introduces a formal