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机构：HBM4价格今年下半年或涨至4-5美元/千比特
High-bandwidth memory HBM4 prices are projected to rise significantly in the second half of 2026 due to surging AI demand and manufacturing complexities.
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科技行业裁员浪潮加剧，多数美国劳动者支持设立人工智能财富基金
A recent survey reveals that a majority of Americans support legislation to mandate that major AI companies contribute half of their shares to a public sovereign wealth fund to distribute AI dividends.
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Roblox launches an AI-powered game-creation feature in its mobile app
Roblox has integrated a text-to-game generation feature into its mobile application to simplify the game creation process.
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Telecom Italia board approves Poste Italiane takeover bid
Telecom Italia's board has approved a takeover bid that will return the company to state ownership.
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MaxSAT-Based Feedback for Guiding Vision-Language Models in Sudoku
Researchers propose a neuro-symbolic approach that uses formal constraint reasoning to improve the logical consistency of vision-language models on Sudoku puzzles.
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RealDESED: A Real-World Domestic Sound Event Detection Benchmark
Researchers present RealDESED, a real-world audio benchmark dataset collected from homes to improve domestic sound event detection models.
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Spatiotemporal Facial Action Unit Detection using Twin Cycle Autoencoders for Driver Monitoring
A twin cycle autoencoder approach is proposed for spatiotemporal facial action unit detection to enhance driver monitoring systems under challenging conditions.
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The Aspirations Of HPE And Dell In The Quantum-Classical HPC Datacenter
Hewlett Packard Enterprise and Dell are outlining their strategic goals for integrating quantum and classical high-performance computing within modern datacenters.
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长飞光纤等在武汉成立智能创投基金，出资额5亿
Yangtze Optical Fibre and Cable has partnered with other entities to establish a 500 million yuan venture capital fund in Wuhan focused on smart technologies.
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Valfortec plans €300m data center campus in Alicante, Spain
Valfortec is planning to develop a 60MW data center campus in Alicante, Spain, with an investment of 300 million euros.
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How Smartsheet built a remote MCP server on AWS
Smartsheet has detailed the architecture and AWS-based infrastructure used to deploy a remote Model Context Protocol server.
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Agent Hacks Agent: Autoresearch for Production-Agent Red-Teaming
Researchers propose a new red-teaming framework that uses autonomous agents to identify security vulnerabilities in production LLM agent workflows.
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To Answer or to Abstain: Mitigating Search-Agent Hallucinations via Abstention-Aware Reinforcement Learning
Researchers have developed an abstention-aware reinforcement learning approach to reduce hallucinations in search-augmented LLMs by penalizing incorrect answers when retrieval fails.
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Reason Less, Verify More: Deterministic Gates Recover a Silent Policy-Violation Failure Mode in Tool-Using LLM Agents
Researchers identify a failure mode where LLM agents successfully complete tasks while violating safety policies, and propose deterministic gates as a mitigation strategy.
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SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation
A new benchmark, SPQR, evaluates the stability of safety alignment in text-to-image models when subjected to common downstream fine-tuning techniques.
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MemDecay: Region-Aware KV Cache Eviction for Efficient LLM Agent Inference
MemDecay is a new memory management technique that optimizes LLM agent inference by using region-aware KV cache eviction based on semantic structure.
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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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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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Robust, Scalable Detection of Text Containment in Large Web-Crawled Corpora
Researchers released FindMyText, an open-source Python package designed to detect near-verbatim text containment within large web-crawled datasets using document fingerprinting.
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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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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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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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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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Measuring AI Ability to Complete Long Software Tasks
A new metric called the 50%-task-completion time horizon has been proposed to better compare AI performance against human capabilities in software development tasks.