Machine Learning
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Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and Accuracy
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Long CoT reasoning improves large language models’ performance on complex tasks but comes with drawbacks. The typical “think-then-answer” ...

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This AI Paper Introduces WEB-SHEPHERD: A Process Reward Model for Web Agents with 40K Dataset and 10× Cost Efficiency
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Web navigation focuses on teaching machines how to interact with websites to perform tasks such as searching for information, shopping, or ...

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Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning in Large Language Models
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While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL), these ...

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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear Dynamics Pretrained on 20,000 Chaotic ODE Discovered via Evolutionary Search
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Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. ...

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Microsoft AI Introduces Magentic-UI: An Open-Source Agent Prototype that Works with People to Complete Complex Tasks that Require Multi-Step Planning and Browser Use
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Modern web usage spans many digital interactions, from filling out forms and managing accounts to executing data queries and navigating ...

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Researchers from the National University of Singapore Introduce ‘Thinkless,’ an Adaptive Framework that Reduces Unnecessary Reasoning by up to 90% Using DeGRPO
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The effectiveness of language models relies on their ability to simulate human-like step-by-step deduction. However, these reasoning sequences ...

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Anthropic Releases Claude Opus 4 and Claude Sonnet 4: A Technical Leap in Reasoning, Coding, and AI Agent Design
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Anthropic has announced the release of its next-generation language models: Claude Opus 4 and Claude Sonnet 4. The update marks a significant ...

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Apple explores new humanoid robot training with Vision Pro and PH2D method
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Apple is investigating a more effective way to train humanoid robots by incorporating human instructors alongside robot demonstrators, a novel combined ...

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Sampling Without Data is Now Scalable: Meta AI Releases Adjoint Sampling for Reward-Driven Generative Modeling
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Data Scarcity in Generative Modeling Generative models traditionally rely on large, high-quality datasets to produce samples that replicate ...

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Nvidia’s AI powers next-gen humanoid robot development
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Nvidia is making significant strides in the field of humanoid robotics with the unveiling of new technologies and platforms designed to power the next ...

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PlayStation Studio Hiring For Dev With ‘Expertise’ In AI Art
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Dark Outlaw Games is a new PlayStation studio born out of the ashes of Deviation Games and led by developer Jason Blundell, best known for Call of Duty: ...

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Google AI Releases MedGemma: An Open Suite of Models Trained for Performance on Medical Text and Image Comprehension
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At Google I/O 2025, Google introduced MedGemma, an open suite of models designed for multimodal medical text and image comprehension. Built on ...

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