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レクサス LM 一部改良(2026年)|価格・スペック・改良内容を徹底解説| 最新自動車情報 レクサスLMが2026年4月1日に一部改良して発売します。スライドドアウェルカムイルミネーションや冷蔵庫ホルダーの刷新、USB Type-C最大60W対応、タイヤ変更による静粛性向上など、乗車体験をさらに進化させました。価格はEXECUTI| 最新自動車情報

#レクサス #LM が2026年4月1日に #一部改良 して発売します。スライドドアウェルカムイルミネーションや冷蔵庫ホルダーの刷新、USB Type-C最大60W対応、タイヤ変更による静粛性向上など、乗車体験をさらに進化させました。

car-repo.jp/blog-entry-l...

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sn-news: #open #sw #dev #ai #ml #lm #hmc Vibe Coding Kills Open Source arxiv.org/pdf/2601.15494

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sn-news: #ai #ml #lm #security CHAI - Command Hijacking against embodied AI arxiv.org/pdf/2510.00181

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GitHub - AgentAlphaAGI/Idea2Paper: Idea2Paper Offical Demo Idea2Paper Offical Demo. Contribute to AgentAlphaAGI/Idea2Paper development by creating an account on GitHub.

sn-news: #ai #ml #lm #hmc #rdi Idea2Paper - End-to-end research agent framework that aims to systematically define and analyze the major stages of the contemporary research process, along with the core challenges inherent to each stage. github.com/AgentAlphaAG...

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GitHub - bowang-lab/EchoJEPA: EchoJEPA: A Latent Predictive Foundation Model for Echocardiography EchoJEPA: A Latent Predictive Foundation Model for Echocardiography - bowang-lab/EchoJEPA

sn-news: #ai #ml #lm #hmc #healthcare EchoJEPA - A Latent Predictive Foundation Model for Echocardiography github.com/bowang-lab/E...

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Synthesizing scientific literature with retrieval-augmented language models - Nature A specialized, open-source, retrieval-augmented language model is introduced for answering scientific queries and synthesizing literature, the responses of which are shown to be preferred by human…

sn-news: #ai #ml #lm #hmc #rdi Synthesizing scientific literature with retrieval-augmented language models www.nature.com/articles/s41...

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Accelerating Scientific Research with Gemini: Case Studies and Common Techniques Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks, their ability to…

sn-news: #ai #ml #lm #hmc #rdi Accelerating Scientific Research with Gemini: Case Studies and Common Techniques arxiv.org/abs/2602.03837

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GitHub - deepseek-ai/DeepSeek-OCR: Contexts Optical Compression Contexts Optical Compression. Contribute to deepseek-ai/DeepSeek-OCR development by creating an account on GitHub.

sn-news: #ai #ml #lm #hmc DeepSeek-OCR: Contexts Optical Compression github.com/deepseek-ai/...

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Open Coding Agents: Fast, accessible coding agents that adapt to any repo | Ai2 SERA is the first in our family of Open Coding Agents, achieving state-of-the-art performance at low cost.

sn-news: #open #ai #ml #lm #sw #dev Open Coding Agents: Fast, accessible coding agents that adapt to any repo allenai.org/blog/open-co...

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sn-news: #ai #ml #lm #hmc Agentic Business Process Management Systems arxiv.org/pdf/2601.18833

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Attention Is Not What You Need We revisit a basic question in sequence modeling: is explicit self-attention actually necessary for strong performance and reasoning? We argue that standard multi-head attention is best seen as a…

sn-news: #ai #ml #lm #hmc Attention Is Not What You Need arxiv.org/abs/2512.19428

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Hello, anyway here is a Nyo Japan cosplay from Hetalia

#LifeMakeover #LM #lifemakeover #キラパラ

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sn-news: #ai #ml #lm #games #qcomp Wittgenstein Machine and Quantum Wittgenstein Machine d197for5662m48.cloudfront.net/documents/pu...

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SciSciGPT: advancing human–AI collaboration in the science of science SciSciGPT is an open-source prototype AI collaborator that explores the use of LLM research tools to automate workflows, support diverse analytical approaches and enhance reproducibility in the domain...

sn-news: #ai #ml #lm #hmc SciSciGPT: advancing human–AI collaboration in the science of science www.nature.com/articles/s43...

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sn-news: #ai #ml #lm #hmc mHC: Manifold-Constrained Hyper-Connections arxiv.org/pdf/2512.24880

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mHC ' + text + '

sn-news: #ai #ml #lm #hmc Understanding Manifold Constrained Hyper Connections www.k-a.in/mHC.html

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100 VEZES ARRASCAETA!

Com o gol marcado pelo nosso camisa 10, De Arrascaeta atinge a marca histórica de 100 gols com o Manto rubro-negro!

VAMOS POR MAIS, ÍDOLO!

#lm

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Agentic AI: Leveraging European AI talent and Regulatory Assets to Scale Adoption Agentic AI has potential to reshape how organisations operate. This report examines Europe’s readiness for such a shift and outlines the steps needed to deploy agentic AI safely and at scale.

sn-news: #ai #ml #lm #eu #policy #regulation Agentic AI: Leveraging European AI talent and Regulatory Assets to Scale Adoption digital-strategy.ec.europa.eu/en/library/a...

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sn-news: #ai #ml #lm #hmc Learning to Discover at Test Time test-time-training.github.io/discover.pdf

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Finally enjoying again my absolute favorite event 🤭✨ #LifeMakeover #LM

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Deep sequence models tend to memorize geometrically; it is unclear why Deep sequence models are said to store atomic facts predominantly in the form of associative memory: a brute-force lookup of co-occurring entities. We identify a dramatically different form of…

sn-news: #ai #ml #lm #hmc Deep sequence models tend to memorize geometrically; it is unclear why arxiv.org/abs/2510.26745

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Recursive Language Models We study allowing large language models (LLMs) to process arbitrarily long prompts through the lens of inference-time scaling. We propose Recursive Language Models (RLMs), a general inference…

sn-news: #ai #ml #lm #hmc Recursive Language Models arxiv.org/abs/2512.24601

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sn-news: #qcomp #ai #ml #lm Q-PACT : Quantum-Parallel Agentic Coordination Toolkit assets-eu.researchsquare.com/files/rs-849...

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Under the Hood: Universal Commerce Protocol (UCP)- Google Developers Blog UCP: An open-source protocol by Google and partners to power agentic commerce. It ensures secure, seamless shopping across consumer surfaces.

sn-news: #open #ai #ml #lm #mlops #devops Under the Hood - Universal Commerce Protocol (UCP) developers.googleblog.com/under-the-ho...

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Top 7 Small Language Models You Can Run on a Laptop - MachineLearningMastery.com Compare seven small language models for local deployment with hardware requirements and specific use cases.

Source: Machine Learning Mastery
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#sml #ai #lm

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SPICE: Self-Play In Corpus Environments Improves Reasoning Self-improving systems require environmental interaction for continuous adaptation. We introduce SPICE (Self-Play In Corpus Environments), a reinforcement learning framework where a single model acts…

sn-news: #ai #ml #lm #hmc SPICE: Self-Play In Corpus Environments Improves Reasoning arxiv.org/abs/2510.24684

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The Platonic Representation Hypothesis We argue that representations in AI models, particularly deep networks, are converging. First, we survey many examples of convergence in the literature: over time and across multiple domains, the…

sn-news: #ai #ml #lm #hmc #philosophy The Platonic Representation Hypothesis arxiv.org/abs/2405.07987

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Read Read chapter Front Matter: Foundation models - artificial intelligence systems trained on massive data sets to perform a wide range of tasks - have the po...

sn-news: #ai #ml #lm #rdi #hmc Foundation models for scientific discovery www.nationalacademies.org/read/29212/

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Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows Despite advances in scientific AI, a coherent framework for Scientific General Intelligence (SGI)-the ability to autonomously conceive, investigate, and reason across scientific domains-remains…

sn-news: #ai #ml #lm #hmc Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows arxiv.org/abs/2512.16969

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sn-news: #ai #ml #lm #hmc When Reasoning Meets Its Laws

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