資金・M&A
C
103 件中 1〜30 件目を表示
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Subquadratic Attention with a Hierarchical Tree-Structured Indexer
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Empirical Evaluation of Quantum Kernel Methods for Classification: A Comparative Study with Classical Kernels
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When Does Test-Time Search Help World Action Models? An Empirical Audit of Candidate Selection and Simulator Integrity
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WASABI: Wasserstein Sampling via Bridge Interpolants
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Chronos-2: A foundation model for multivariate time series forecasting
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Sensorium: An Open-Source Multimodal Data Collection and Curation Library for Embodied Surgical AI
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Observable-Specific Validity Tests for Scientific AI: Controlled Approximations and Intervention Response
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SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI
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DIFFNAS: Predictor-Free Neural Architecture Search via Diffusion Model and Zero-Cost Evaluation
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Continual Reinforcement Learning Is an Integration Problem
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Backpropagation-free Deep Learning for Time-Series Classification
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Implicit Assumptions About Tasks in Continual Learning
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Different Models, Shared Failures: Auditing Frozen-Encoder Pools for Medical Segmentation
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From synthetic enterprise data evaluations to real Microsoft Copilot AI confidenceMS Research、実データ不使用の合成企業データでCopilotを評価Microsoft Researchは、Copilotを企業規模で評価するには組織の複雑さを反映したテストデータが要る一方、実際の企業データは機密情報を含み評価に使えないと説明する。そこで合成した企業データによる評価の取り組みを紹介している。
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TSBPO: Tree-Structured Branching for Policy Optimization in Interactive Language Agents
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キオクシア中間決算「過去最高」連呼 純利益2.2兆円、初の配当実施 AI需要で「成長さらに加速」キオクシア中間決算、純利益2.2兆円で初の配当を実施キオクシアHDが2027年3月期の中間決算を発表し、純利益は2.2兆円に達した。第2四半期の3カ月だけで前年通期の売り上げを上回り、AI需要を背景に成長がさらに加速するとした。上場後初となる配当も実施する。
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Cohere advances C$4 billion commitment to strengthen Canada’s AI leadership and significantly expand its national workforceCohere、カナダ投資を拡大 2031年まで40億加ドル超・雇用1,500人超Cohereは2024年から続くカナダでの投資計画を拡大し、2031年までに雇用1,500人超、研究開発とAIインフラへの投資40億加ドル超を見込むと発表した。うち1,000人以上はAI研究や開発などの技術職で、研究成果を事業と雇用に結びつける狙い。
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Elucidating the Design Space of LM Data Attribution
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Luggage re-identification: A study of strategies towards a real-world application
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When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder
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Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
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Multi-View MoE: Letting Every Router Shape Expert Computation
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Machine Learning-Based Detection of Mobile Money Scan Messages in Ghana: A Comparative Evaluation of Naive Bayes, Support Vector Machine, and Randon Forest Classifiers
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TRACER, a time-to-event EHR foundation model for disease detection across health systems
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IndicIPR-QA: A Benchmark for Extractive Question Answering on Indian IPR Laws
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How I Aligned Your Model: Scaling Up Multilingual Safety Training with Templates
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Numerical Integration on Bounded Domains via Learned Reflected Diffusions
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rTaste: Do Research Agents Have Taste? Evaluating Early Stage Research Judgment
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Reinforcement learning for control of partial differential equations
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Prefix Executability: Evaluating Tool-Using Agents Beyond Final Success