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高盛创建私募市场平台
Goldman Sachs has launched a new alternative investment platform to facilitate private company direct investments for wealthy clients and family offices.
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Meta enters the crowded AI coding battle with Muse Spark 1.1
Meta has launched Muse Spark 1.1, an AI coding tool designed to manage large agentic workloads, debug code, and assist with software migrations.
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ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI
ConceptSMILE is a model-agnostic, perturbation-based auditing framework designed to evaluate the reliability of concept-based explanations in AI models.
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A Formalization of the Mean-Field Derivation of the Vlasov Equation: AI-Assisted Lean Formalization as a Strategy Game
Researchers formalized the mean-field derivation of the Vlasov equation in the Lean 4 proof assistant by framing AI-assisted formalization as a strategy game.
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36氪首发 | 三个月融三轮，上交大00后博士让具身智能仿生扑翼机器人理解并驾驭流体
Embodied AI startup Yingkan Zhiyi has raised tens of millions of yuan in its third funding round within three months to advance its bionic flapping-wing robots and fluid simulation engines.
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How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding
The study analyzes how latent confounding affects the posterior distribution over directed acyclic graphs in Bayesian causal discovery.
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Scoped Verification for Reliable Long-Horizon Agentic Context Evolution under Distribution Shift
This work addresses the challenges of verifying evolving system-level instructions in long-horizon LLM agents by introducing a scoped verification approach.
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凯美特气：报道称公司电子特气全年在手订单超4亿元不属实
Chinese gas supplier Kemite Gas has clarified that reports regarding its electronic specialty gas order backlog exceeding 400 million yuan are inaccurate.
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太极实业旗下苏州半导体公司增资至10.2亿，增幅约42%
Taiji Semiconductor Suzhou has increased its registered capital by approximately 42 percent to 1.02 billion yuan to support its semiconductor packaging and testing operations.
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Rising chip temperatures and the transformation of data center cooling
An industry analysis explores how rising chip temperatures are driving the adoption of advanced cooling technologies in modern AI data centers.
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Lorde says AI glasses are “not sexy”
Singer-songwriter Lorde expressed skepticism about AI glasses during a performance, stating they are not appealing and make it harder to discern reality.
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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
HERO is a new benchmark library designed to standardize and simplify the evaluation of federated continual learning algorithms across heterogeneous client environments.
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CMSL: Constructive Multi-Sequence Learning for Recommendation Systems
Constructive Multi-Sequence Learning improves recommendation systems by moving beyond the monolithic chronological sequence approach used in traditional models.
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DemoPSD: Disagreement-Modulated Policy Self-Distillation
A new self-distillation method for large language models addresses overfitting and exploration issues caused by dense token-level supervision from teacher models.
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Beyond Bayesian Nash: Learning Minimax-Regret Equilibria for Adversarial Team Games under Asymmetric Information
This research introduces a method for learning minimax-regret equilibria in adversarial team games with asymmetric information to counter deceptive opponent strategies.
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Comparing Socio-technical Design Principles with Guidelines for Human-centered AI
This paper compares human-centered AI guidelines with traditional socio-technical design principles to propose updated heuristics for AI system integration.
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AI YOU Town: Make Friends and Money with Your Digital Twin
The AI YOU framework uses Bayesian updating and prompting to continuously update a user's personality profile across 22 dimensions for digital twin applications.
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From ML Predictions to Informed Diagnostic Assistance Using the Toulmin Model of Argumentation
This paper proposes using the Toulmin model of argumentation to structure and interpret machine learning predictions for retinal diagnostics.
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Multi-Turn On-Policy Distillation with Prefix Replay
The proposed Replayed-Prefix On-Policy Distillation method aims to reduce the computational costs associated with training agentic LLMs by using off-environment data.
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LightMem-Ego: Your AI Memory for Everyday Life
A new lightweight multimodal memory system called LightMem-Ego is proposed to help wearable AI assistants store and retrieve long-term user experiences.
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Feedback-Coupled Memory Systems in Continuous Time
This research formalizes the Feedback-Coupled Memory Systems architecture in continuous time, defining agent updates through decentralized economic principles.
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Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build
A longitudinal study of over three million learning interactions reveals that while generative AI reduces time spent on math problems, it may negatively impact long-term knowledge retention.
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CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
Researchers present CRINN, a reinforcement learning-based approach to optimize approximate nearest-neighbor search algorithms for improved performance in AI retrieval systems.
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Data-Driven Forward and Inverse Modeling of V-Beam Thermal Sensors
This paper introduces a machine learning framework to optimize the geometric design of V-beam thermal sensors under specific temperature and stress constraints.