New Model Releases

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Showing 1–30 of 291
  • Publickey · JA New Model Releases
    GitHub、「Copilot Fusion」正式リリース。タスクに応じて最適なAIモデル選択で高性能かつ低コストに。GitHub Universe 2026
    GitHub launches Copilot Fusion, picking the best AI model per task
    Machine Learning Microsoft
    At GitHub Universe 2026, held October 28-29 in San Francisco, GitHub announced the general release of GitHub Copilot Fusion. The feature selects the best-suited AI model for each task, aiming for higher performance at lower cost.
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  • ITmedia AI+ · JA New Model Releases
    キオクシア、2桁成長に“急ブレーキ”？　Q3「売上収益1％増」、決算説明会で幹部らが語ったこと
    Kioxia guides Q3 revenue to 2.5T yen, up just 1% as growth slows
    Kioxia Holdings announced a revenue outlook of 2.5 trillion yen for the third quarter of fiscal year ending March 2027, up only 1.0% from the prior period. Investors asked executives at the earnings briefing about the shift away from double-digit growth, and the article summarizes that Q&A.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    ChatGPTの「Chat」と「Work」統合へ　利用制限はCodexと共通化
    OpenAI merges ChatGPT Work into ChatGPT; limits shared with Codex
    AI Agents GPT OpenAI
    OpenAI plans to integrate ChatGPT Work's agent features into ChatGPT, and paid-plan usage limits will be shared between ChatGPT and Codex. Chat, agent and coding use would draw on one allowance, signaling agents moving to the core of ChatGPT.
    Read original (ITmedia AI+) ↗
  • Sakana AI Blog (ja) · JA New Model Releases
    【開催レポート】Sakana AIシンポジウム：Jürgen Schmidhuberが語るAIのこれまでとこれから、日本から挑む言語モデル・世界モデル・Physical AI
    Sakana AI unveils in-house pretrained LLM series at Tokyo symposium
    Deep Learning Neural Network Reinforcement Learning Transformer
    Sakana AI held a symposium in Tokyo on Oct 26, 2026, drawing 400+ attendees. Advisor Jürgen Schmidhuber gave the keynote and spoke with CEO David Ha. The company announced it will develop pretrained models in-house, unveiling the 'Sakana Sawara' (tentative) language model series; the small model is planned for spring 2027.
    Read original (Sakana AI Blog (ja)) ↗
  • ITmedia AI+ · JA New Model Releases
    AI学習への利用拒否をrobots.txtで一括指定へ　OpenAIやGoogleなどが対応表明
    OpenAI, Google, Microsoft back one robots.txt AI opt-out
    Anthropic Google Microsoft OpenAI
    OpenAI, Google and Microsoft will support a shared way for sites to state AI-training preferences. An Anthropic staffer says, personally, it will implement it too. One robots.txt token would cover several AI crawlers.
    Read original (ITmedia AI+) ↗
  • ITmedia AI+ · JA New Model Releases
    GMOがサイバー攻撃情報に異例の1.5億円懸賞金、AI時代の新防衛策となるのか
    GMO offers unusual ¥150M bounty for cyberattack information
    GMO has announced an unusually large ¥150 million reward for information on cyberattacks, raising the question of whether such bounties can become a new defensive measure in the AI era. MONOist featured it among its notable news of the week.
    Read original (ITmedia AI+) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Hierarchical World Models with Implicit Dynamics
    AI Agents Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Counting on Dummies: Privacy Amplification with Observable Counts and Truncated Batches
    Machine Learning
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  • arXiv cs.LG (Machine Learning) · EN Multimodal
    A Better Critic Matters for Distribution Matching Distillation
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    DecisionRank: On-Policy Distillation for Decision-Model Rerankers
    Deep Learning Neural Network
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Fast Privacy Loss Accounting for Random Allocation via Multiscale FFT
    Machine Learning Neural Network
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning
    Deep Learning Machine Learning Neural Network
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Hyperbolic Inverse Reinforcement Learning
    Neural Network Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    The Knowledge Layer Model (KLM): Evidence-Visible AI Output, Routing Diagnostics, and Negative Results
    Deep Learning Inference Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    PersonaChatBench: Evaluating Chat Assistants with Diverse Simulated Users
    Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    CRoS: Causality Reward on Scrambled CoTs Improves Accuracy and Reasoning Faithfulness
    Neural Network Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    There Is No Free Loop: When Does Looping a Trained Model Pay for Its Inference Compute?
    Deep Learning Inference
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    CausalXRL: Explainable Reinforcement Learning through Causal Graph Reasoning
    AI Agents Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Know When the Equation Is Wrong: Structural Uncertainty for LLM-Guided Symbolic Regression under Extrapolation
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN New Model Releases
    Asynchronous Flow Map Language Models
    Machine Learning Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    TradeWar: A Benchmark for Execution-Grounded Trade Negotiation with Adaptive LLM Agents
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration
    AI Agents Meta Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    DAMI: Dual-Axis Memory Initialization for Enhanced Long-Context Retrieval in Gated Linear Attention
    Deep Learning Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    New Lower Bounds for Private PAC Learning
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    WASABI: Wasserstein Sampling via Bridge Interpolants
    Neural Network Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    Chronos-2: A foundation model for multivariate time series forecasting
    Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Optimizing Stochastic Policy Geometry for Few-Step Flow Reinforcement Learning
    Reinforcement Learning
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  • Data Center Dynamics · EN New Model Releases
    T-Mobile CTO says carrier will be first to 6G in US
    T-Mobile CTO says it will be first to 6G in the US
    T-Mobile's CTO said the carrier will be the first to launch 6G in the US, with the article noting that the race to launch 6G is on.
    Read original (Data Center Dynamics) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Structure-Aware Skill Retrieval and Arbitration for Optimization Modeling
    AI Agents DeepSeek Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    General-purpose foundation models surpass specialized ones on chemical property prediction tasks
    Claude Fine-tuning GPT
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗