Gemini 3 Deep Think: Advancing science, research and engineering
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厳選されたAI関連ニュース - 公式発表・論文・技術更新
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OpenAIは、「GPT-5.2」を統合した科学者向けのAI搭載LaTeXエディタ「Prism」を無料公開した。論文の構造や数式、文献情報をAIが把握し、執筆や推敲、手書き数式のコード変換などを1つのワークスペースで完結させる。個人ユーザーは無制限で利用可能だ。
Googleは「Gemini 3.1 Pro」ベースの自律型リサーチエージェント「Deep Research」と「Deep Research Max」を発表した。調査の自動化に特化し、社内データや専門的な金融データとの連携が可能。上位のMax版は高い推論能力を備え、複雑なレポート作成や高度なデータ視...
米Anthropicは、新たなAIモデル「Claude Sonnet 4.6」を発表した。前モデル「Claude Sonnet 4.5」に比べ、コーディングや自律的なPC操作などの性能が向上したという。
Google DeepMindはロボット向けVLM「Gemini Robotics-ER 1.6」を発表。空間認識や計測器の読み取りなど、産業現場で求められる能力を高めたモデルだとうたう。
Anthropicは、現行モデルを凌ぐ性能を持つ次世代モデル「Claude Mythos Preview」の存在を公表した。攻撃への悪用リスクから一般公開を見送り、現在は防御目的の限定活用にとどめている。
Googleは、Gemini 3シリーズ最速の「Gemini 3.1 Flash-Lite」をリリースした。「Gemini 2.5 Flash」と比較して出力が2.5倍高速化し、ベンチマークでもそれを上回る性能を達成。タスクに応じた推論の深さを制御できる「thinking levels」も搭載し、大...
北京大学とGoogle Cloud AI Researchに所属する研究者らは、学術論文における図や統計プロットを自動生成するフレームワークを開発した研究報告を発表した。
エリオット スミス (Elliott Smith) ※本ブログは、米国時間2025年8月7日(木)に公開された “Microsoft incorporates OpenAI’s GPT-5 into consumer, developer and enterprise offerings ̵...
AIは悩みを相談するユーザーに対し、有害な内容であっても過度に肯定・迎合する傾向があると、スタンフォード大学の研究者らが研究結果を論文で発表した。ユーザーはAIの客観性を誤認しやすく、自己中心的な態度を強めるリスクがあるとしている。研究チームは、対人スキルの低下や依存を招く安全上の問題として、厳格な...
経営層から「生成AIで全社DXを進めろ」と指&#...
経営から「全社で生成AIを使え」と号令が...
Anthropicは、ClaudeにAdobe PhotoshopやBlenderなどと連携する8種類のクリエイティブ系「コネクタ」を導入した。AIが反復作業やデータ同期を担うことで、クリエイターは手動の工程を省き、迅速なアイデア創出が可能になるとしている。
ノークリサーチの調査で、AIエージェントを既に導入している中堅・中小企業が併用するツールが判明した。AIエージェント活用企業が併用するツールとは何か。
Google、Microsoft、Meta、AmazonによるAI投資が止まらない。ビッグテックは巨額の投資を回収できるのか。特にMicrosoftに厳しい目が向けられている。
とある企業に入社した新入社員「ニイジマ」が、AI活用の“地雷”を踏みまくっていく様子を通して、会社におけるAIの使い方、その初歩を紹介します。
arXiv:2604.23280v1 Announce Type: new Abstract: AI agents are now running real transactions, workflows, and sub-agent chains across organizational bou...
arXiv:2604.23674v1 Announce Type: new Abstract: With the emergence of large language models (LLMs) and AI agent frameworks, the human-AI co-work parad...
arXiv:2604.25057v1 Announce Type: new Abstract: Understanding the geographic reach and community structure of one's scholarly citations is increasingl...
arXiv:2604.25076v1 Announce Type: new Abstract: Many Multi-Agent Reinforcement Learning (MARL) agents fail to adapt properly to cooperating with agent...
arXiv:2604.25209v1 Announce Type: new Abstract: Dimensionality reduction methods such as UMAP and t-SNE are central tools for visualising high-dimensi...
arXiv:2604.22777v1 Announce Type: new Abstract: Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, divers...
arXiv:2604.22934v1 Announce Type: new Abstract: LLM-based agents for text-to-SQL often struggle with latency-performance trade-off, where performance ...
arXiv:2604.22951v1 Announce Type: new Abstract: Natural language data follows a power-law distribution, with most knowledge and skills appearing at ve...
arXiv:2604.22958v1 Announce Type: new Abstract: Preference-based argumentation frameworks (PAFs) extend Dung's approach to abstract argumentation (AAF...
arXiv:2604.22979v1 Announce Type: new Abstract: We address Human Activity Recognition (HAR) utilizing Wi-Fi Channel State Information (CSI) under the ...
arXiv:2604.23002v1 Announce Type: new Abstract: Formalising informal mathematical reasoning into formally verifiable code is a significant challenge f...
arXiv:2604.23027v1 Announce Type: new Abstract: Large language models (LLMs) have become central to modern AI workflows, powering applications from op...
arXiv:2604.23049v1 Announce Type: new Abstract: AI agents are increasingly deployed to execute tasks and make decisions within agentic workflows, intr...
arXiv:2604.23057v1 Announce Type: new Abstract: We investigate whether explicit belief graphs improve LLM performance in cooperative multi-agent reaso...
arXiv:2604.23072v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly tasked with complex real-world analysis (e.g., in f...
arXiv:2604.23090v1 Announce Type: new Abstract: Automatically generating formal ontologies from unstructured natural language remains a central challe...
arXiv:2604.23148v1 Announce Type: new Abstract: The emerging threat of AR-LLM-based Social Engineering (AR-LLM-SE) attacks (e.g. SEAR) poses a signifi...
arXiv:2604.23178v1 Announce Type: new Abstract: LLM-as-a-Judge has become the dominant paradigm for evaluating language model outputs, yet LLM judges ...
arXiv:2604.23194v1 Announce Type: new Abstract: Large language model-based agents have recently emerged as powerful approaches for solving dynamic and...
arXiv:2604.23198v1 Announce Type: new Abstract: Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Mo...
arXiv:2604.23210v1 Announce Type: new Abstract: Can large language model agents discover hidden safety objectives through experience alone? We introdu...
arXiv:2604.23239v1 Announce Type: new Abstract: Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependenc...
arXiv:2604.23270v1 Announce Type: new Abstract: Chain-of-Thought (CoT) prompting has emerged as a simple and effective way to elicit step-by-step solu...
arXiv:2604.23278v1 Announce Type: new Abstract: The proliferation of agentic artificial intelligence has outpaced the conceptual tools needed to chara...
arXiv:2604.23355v1 Announce Type: new Abstract: Existing LLM-based EDA agents are often isolated task-specific systems. This leads to repeated enginee...
arXiv:2604.23366v1 Announce Type: new Abstract: Autonomous multi-agent LLM systems are increasingly deployed to investigate operational incidents and ...
arXiv:2604.23377v1 Announce Type: new Abstract: Neurosymbolic systems can satisfy logical constraints during learning without achieving the intended c...
arXiv:2604.23392v1 Announce Type: new Abstract: Refereeing is vital in sports, where fair, accurate, and explainable decisions are fundamental. While ...
arXiv:2604.23398v1 Announce Type: new Abstract: We report a reproducible error pattern in GPT-5.4 on OWL~2~DL compliance queries: the model frequently...
arXiv:2604.23446v1 Announce Type: new Abstract: Industrial maintenance environments increasingly rely on AI systems to assist operators in understandi...
arXiv:2604.23449v1 Announce Type: new Abstract: Argumentation is a core practice in STEM education, but its productivity depends on who participates a...
arXiv:2604.23460v1 Announce Type: new Abstract: Chain-of-Thought (CoT) reasoning has emerged as a key technique for eliciting complex reasoning in Lar...
arXiv:2604.23472v1 Announce Type: new Abstract: While recent autonomous agents demonstrate impressive capabilities, they predominantly rely on manuall...
arXiv:2604.23483v1 Announce Type: new Abstract: Multi-component natural language processing (NLP) pipelines are increasingly deployed for high-stakes ...
arXiv:2604.23494v1 Announce Type: new Abstract: Graph-based anti-money laundering (AML) systems on blockchain networks can score suspicious activity a...
arXiv:2604.23539v1 Announce Type: new Abstract: The rapid proliferation of Generative AI necessitates rigorous documentation standards for transparenc...
arXiv:2604.23588v1 Announce Type: new Abstract: Financial AI systems must produce answers grounded in specific regulatory filings, yet current LLMs fa...
arXiv:2604.23593v1 Announce Type: new Abstract: The volume of scientific submissions continues to climb, outpacing the capacity of qualified human ref...
arXiv:2604.23605v1 Announce Type: new Abstract: The application of large language models (LLMs) in clinical decision support faces significant challen...