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IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation
IdeaTrail is a new dataset designed to capture the complete, multi-stage workflow of AI agents performing scientific ideation and research tasks.
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Edge Physical AI Deployment of Vision Transformers on Heterogeneous Edge GPU Targeting Autonomous Vehicles
A new scheduling method for heterogeneous edge GPUs aims to improve the efficiency and throughput of vision transformer models in autonomous vehicle applications.
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey
This paper provides a comprehensive survey and a new two-level taxonomy of Graph Neural Network methodologies applied across knowledge graph technologies.
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ReflectWorld-MM: An Entity-Oriented Multi-Media Memory System for Open-Ended Video Streams
Researchers developed ReflectWorld-MM, a multimedia memory system that organizes long-term video stream data around persistent entities rather than individual frames.
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The Path to Self-Evolving Clinical Systems: Scaling Medical Agents from Assistance to Autonomy
This paper outlines a deployment-focused pathway for transitioning medical AI agents from simple assistants to autonomous clinical systems.
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Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Embodied-R1.5 is a new foundation model designed to unify embodied reasoning and physical intelligence using a large-scale dataset of 15 billion tokens.
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FARS: A Fully Automated Research System Deployed at Scale
The authors introduce FARS, a fully automated system that enables AI agents to conduct research, generate hypotheses, and write manuscripts at scale.
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Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting
Researchers propose a new speculative decoding method that improves large language model inference speed by utilizing progressive tree drafting to better exploit parallel processing.
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A Theory of Least Autonomy in AI
Researchers propose a formal theory of least autonomy as a security principle to constrain the permissions and workflow capabilities of agentic AI systems.
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Remembering Distinct Items, Not Tokens: A Learnable Dirichlet-Process Cache Between State-Space Models and Attention
This paper proposes a learnable Dirichlet-process cache that stores only novel inputs to bridge the gap between state-space models and attention mechanisms.
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Model Collapse: On Recursion, Noise, and Uncharted Machine Visions
This paper examines the phenomenon of model collapse from both engineering and creative perspectives, exploring how recursive training on AI-generated data affects model output.
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Gefen: Optimized Stochastic Optimizer
The proposed Gefen optimizer reduces the memory footprint of large-scale model training by sharing second-moment estimates and quantizing first-moment states.
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GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning
GrandCode is a new multi-agent reinforcement learning system that aims to achieve competitive programming performance at the level of human grandmasters.
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Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation
The Mako project introduces a self-evolving agentic operating system capable of autonomously synthesizing and testing new security exploits.
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The Ramanujan Challenge For AI
Researchers have introduced a new benchmark dataset of mathematical constant formulas to evaluate the advanced mathematical reasoning capabilities of AI systems.
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ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception
ActiveFly-Bench is a new benchmark designed to evaluate aerial embodied perception by linking high-level task understanding, behavior planning, and low-level control for unmanned aerial vehicles.
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Launching UI for generative AI inference recommendations in Amazon SageMaker AI
Amazon has introduced a new user interface in SageMaker AI Studio to help developers easily benchmark and deploy optimized generative AI models.
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高德发布通用世界模型工坊ABot-World Studio：5090单卡可生成小时级实时交互式视频与3D场景
AutoNavi has launched ABot-World Studio, a tool that enables the generation of interactive 3D scenes and videos using a single consumer-grade GPU.
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全网骂Claude变笨，Anthropic下场揭秘：坑你的不是模型
Anthropic clarified that recent developer complaints about Claude Code underperforming stem from user confusion between model selection and the effort setting rather than actual model degradation.
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Managing Complexity: A Scalable Solution for Global Data Centers
A new framework has been introduced to assist data center operators in managing regulatory compliance and operational complexity on a global scale.
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独家丨智己回应经销商经营异常：需要时间妥善处理，厂家会兜底
IM Motors addressed concerns regarding dealer management issues following the launch of its new SUV model.
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“新奇机器人”完成A+轮融资
Robotics startup Xinqi Robot has completed its third funding round in six months, attracting investment from both venture capital firms and industrial partners.
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US Air Force Research Lab to relocate TI-19 supercomputer from Ohio to Mississippi
The US Air Force Research Laboratory is relocating its 47-petaflops TI-19 supercomputer from Ohio to Mississippi to extend its operational lifespan.
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CleanSpark secures tenant with 20-year lease for data center in Sandersville, Georgia
CleanSpark has signed a twenty-year lease agreement for a data center facility in Georgia valued at 6.6 billion dollars in total revenue.