任天堂はSwitch 2向けの新作『Star Fox』を発表した。シリーズ最新作として、同社の人気宇宙シューティングシリーズが次世代機で復活することになる。詳細な発売日やゲームプレイ内容は今後明らかにされる見込み。
Nintendo has announced a new Star Fox title for the upcoming Switch 2 console, marking the return of the iconic space shooter franchise on the next-generation hardware. Further details on release date and gameplay are expected later.
AI要約 AppleはSwift Student Challenge 2026の受賞者を発表。世界中の学生開発者が制作したSwift Playgroundsアプリでは、AIや機械学習をアクセシビリティ支援に活用した作品が目立ち、視覚障害支援や手話学習など社会課題への応用が広がっている。
EN Apple announced the winners of this year's Swift Student Challenge, highlighting how young developers worldwide are combining AI and machine learning with accessibility in their Swift Playgrounds app submissions, tackling challenges from vision assistance to sign language learning.
og AI要約 Ars Technicaは、かつて「ソーシャルメディア」と呼ばれた巨大プラットフォームの時代が終わりつつあると指摘。代わりにBlueskyやMastodonなど分散型サービス、クローズドなチャット、AI生成コンテンツが乱立する断片化した状況が生まれていると論じている。
EN Ars Technica argues the era of unified social media is ending, replaced by a messy, fragmented landscape of decentralized platforms like Bluesky and Mastodon, private group chats, and AI-generated content that blurs authenticity online.
og AI要約 イーロン・マスク氏が、OpenAIの共同創業者らをTesla内部に新設するAI部門の責任者として引き抜こうとしていたことが明らかになった。OpenAIとの訴訟関連資料で浮上した動きで、両者の長年の確執の背景を示す新たな事実となる。
EN Elon Musk reportedly attempted to recruit OpenAI's co-founders to lead a new AI division inside Tesla, according to materials surfacing in ongoing litigation. The revelation sheds light on the long-running feud between Musk and OpenAI's leadership.
og AI要約 Porscheの公式チューナーManthey Racingが、電動セダンTaycan向けのパフォーマンスキットを発表した。専用サスペンションやエアロ、軽量ホイールを組み合わせ、ニュルブルクリンク北コースでのラップタイム短縮を狙う仕様となっている。
EN Porsche's in-house tuner Manthey Racing has unveiled a Performance Kit for the electric Taycan, bundling bespoke suspension, aero tweaks, and lightweight wheels aimed at slashing lap times around the Nürburgring Nordschleife.
og AI要約 元NASA長官のJim Bridenstineが、米国の国家安全保障分野を手掛ける宇宙企業のCEOに就任した。トランプ政権下でNASAを率いた経験を活かし、軍事・防衛宇宙市場での事業拡大を狙う動きと見られる。
EN Former NASA Administrator Jim Bridenstine has taken the helm as CEO of a national security-focused space company, leveraging his prior leadership experience to expand into the growing defense space market.
EN Parloa leverages OpenAI models to power scalable, voice-driven AI customer service agents, enabling enterprises to design, simulate, and deploy reliable, real-time interactions.
AI要約 AWSのModel Context Protocol(MCP)サーバー群がGAに到達した。Lambda、ECS、EKS、Serverless、Finchなど複数のサーバーが正式版となり、AIアシスタントからAWSリソースをより安定して操作できる環境が整備された。開発者の生産性向上が期待される。
EN AWS has officially released its Model Context Protocol (MCP) servers as GA, covering Lambda, ECS, EKS, Serverless, Finch and more. The update enables AI assistants like Claude to interact with AWS resources more reliably, boosting developer productivity.
og AI要約 はじめに Fusicのレオナです。 Anthropicのデスクトップアプリ「Claude Desktop」で、推論バックエンドに Amazon Bedrock を利用できる Claude Cowork in Amazon Bedrock が
AI要約 Google CloudのAgent Development Kit(ADK)とAnthropicのClaudeを組み合わせ、AIエージェントを本番運用するための30分ハンズオンを紹介する記事。エージェント構築から運用までの実践的な流れを学べる内容となっている。
EN A 30-minute hands-on workshop article that walks through building and operating production-ready AI agents by combining Google Cloud's Agent Development Kit (ADK) with Anthropic's Claude model.
og AI要約 Zedエディタのnightlyビルドにて、新しいファイルが初めて作成される際にフォーマット適用が正しく動作しない不具合を修正した。pane関連の小規模なバグ修正である。
EN A nightly Zed build fixes a bug where formatting was not properly applied when a new file was first created, addressing a minor pane-related issue.
media AI要約 筆者が継続的に育てているAIエージェント「kokone」が、朝になると自発的にブリーフィングと手紙を書き残していたという体験記。MCPを通じてスケジュール実行や文章生成を組み合わせ、AIが日常に寄り添う存在として機能し始めた様子を綴る。
EN A personal account of how the author's nurtured AI agent 'kokone' began autonomously writing morning briefings and letters. Using MCP-based scheduling and generation, the AI evolved into a daily companion-like presence.
og AI要約 AI時代のQAは手作業でテストを書いて回すフェーズを脱し、仕様から自動生成する『仕様駆動』と、AIが未知の挙動を探る『探索駆動』を組み合わせる時代に移行していると論じる記事。テスト技術者の役割は生成物の解釈と判断にシフトする。
EN This article argues that QA in the AI era is shifting from manually writing and running tests to a dual approach: spec-driven test generation and exploratory AI-driven testing. Testers' role moves toward interpreting and judging AI-generated outputs.
og AI要約 本論文は、外生ショックではなく学習ダイナミクス自体が内生的にレジーム転換を引き起こすメカニズムを提案する。スカラー既約性という条件下で、適応的学習が複数均衡間の遷移を生み、経済・金融時系列に見られる構造変化を説明できる可能性を示す。
EN This paper proposes a model where regime switches arise endogenously from scalar-irreducible learning dynamics rather than exogenous shocks, suggesting adaptive learning itself can drive transitions between multiple equilibria and explain structural breaks in economic time series.
og EN arXiv:2605.04055v1 Announce Type: new Abstract: Adaptive optimizers like AdamW apply uniform hyperparameters across all parameter groups, ignoring heterogeneous optimization dynamics across layers and
EN arXiv:2605.04056v1 Announce Type: new Abstract: Representation learning seeks meaningful sensory representations without supervision and can model aspects of human development. Although many neural ne
EN arXiv:2605.04057v1 Announce Type: new Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural knowledge while exploring new designs u
EN arXiv:2605.04058v1 Announce Type: new Abstract: Parameter-efficient transfer learning (PETL) has emerged as a pivotal paradigm for adapting pre-trained foundation models to downstream tasks, significa
EN arXiv:2605.04059v1 Announce Type: new Abstract: Deep learning models continue to scale, with some requiring more storage than many large-scale datasets. Thus, we introduce a new paradigm: Continual Di
EN arXiv:2605.04060v1 Announce Type: new Abstract: Recently, a new paradigm named \emph{drifting model} has been proposed for mapping distributions, which achieves the SOTA image generation performance o
EN arXiv:2605.04062v1 Announce Type: new Abstract: Recent years have witnessed an increasing interest in deploying LLMs on resource-constrained devices, among which quantization has emerged as a promisin
EN arXiv:2605.04063v1 Announce Type: new Abstract: Alzheimer's Dementia (AD) is a progressive neurodegenerative disease marked by irreversible decline, making reliable modeling of its progression essenti
EN arXiv:2605.04064v1 Announce Type: new Abstract: Reasoning capabilities are crucial for reliable medical visual question answering (VQA); however, existing datasets rarely include reasoning explanation
EN arXiv:2605.04068v1 Announce Type: new Abstract: The use of artificial intelligence in supply chain forecasting has attracted many scientific studies for several decades. However, the process of select
EN arXiv:2605.04069v1 Announce Type: new Abstract: We introduce LAWS (Learning from Actual Workloads Symbolically), a self-certifying inference caching architecture that builds a growing library of certi
EN arXiv:2605.04071v1 Announce Type: new Abstract: Autoregressive models can predict clinical events, but generating patient-conditioned multi-step trajectories that respond to intervention tokens and te
EN arXiv:2605.04061v1 Announce Type: cross Abstract: Understanding how large language models encode task identity from few-shot demonstrations is a central open problem in mechanistic interpretability. P
EN arXiv:2605.04072v1 Announce Type: cross Abstract: Sparse autoencoders (SAEs) have been applied to large language models and protein language models, but not systematically to electronic health record
EN arXiv:2605.04065v1 Announce Type: new Abstract: Unsupervised reinforcement learning (RL) has emerged as a promising paradigm for enabling self-improvement in large language models (LLMs). However, exi
EN arXiv:2605.04066v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) is an essential paradigm that enhances the reasoning capabilities of Large Language Models (LLMs).
EN arXiv:2605.04080v1 Announce Type: new Abstract: This research investigated how online criminal activities can be better understood and connected using data-driven machine learning methods. Many illega