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Anthropic、科学者向けClaude Science提供開始

Anthropic、科学者向けClaude Science提供開始

✎ ストーリー本文

Anthropic が科学者向けワークベンチ Claude Science を一般提供開始。Claude 系開発者ツールが「汎用チャットの派生」から「特定職種の実務環境」へ舵を切った週。coding や writing に続く domain-specific harness の第 3 弾で、専門家の workflow を UI ごと囲い込む方向性が明確になった。米商務省の輸出規制緩和など制度面の追い風も添えられ、研究者アクセスが企業契約の外側でも広がりうる文脈。GA といっても実運用は現場の受け入れ次第で、次は科学分野での定着度が本流。

▲ 公式・報道
公式

Claude Science, an AI workbench for scientists, is now available

Anthropic News ・ 2026-06-30 ・ 📌

Anthropic、科学者向けAIワークベンチ「Claude Science」を提供開始

コミュニティ

Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5

Hacker News (Front Page) ・ 2026-06-30

米商務省、Claude Fable 5とMythos 5への輸出規制を解除

コミュニティ

The AI Compass

Simon Willison's Weblog ・ 2026-06-30

Simon Willison氏、AI動向を整理する「The AI Compass」を紹介

学術(arxiv ほか) 75本 ▾
学術

When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Amplifying Membership Signal Through Chained Regeneration

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

MVP-Nav: Multi-layer Value Map Planner Navigator

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Accelerating Conformal Prediction via Approximate Leave-One-Out

arXiv cs.LG (Machine Learning) ・ 2026-06-30

学術

Better Understanding, Understanding Better

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Relational and Sequential Conformal Inference for Energy Time Series over Graphs via Foundation Models

arXiv cs.LG (Machine Learning) ・ 2026-06-30

学術

CHERRY: Compressed Hierarchical Experts with Recurrent Representational Yield

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

SpikeLogBERT: Energy-Efficient Log Parsing Using Spiking Transformer Networks

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Addressing Over-Refusal in LLMs with Competing Rewards

arXiv cs.LG (Machine Learning) ・ 2026-06-30

学術

FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

STEB: Style Text Embedding Benchmark

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

RCT: A Robot-Collected Touch-Vision-Language Dataset for Tactile Generalization

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-30

学術

Tone-Conditioned Curriculum Learning for Low-Resource Bantu Speech Recognition

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

On Optimal Data Splitting for Split Conformal Prediction

arXiv cs.LG (Machine Learning) ・ 2026-06-30

学術

Localized Conformal Prediction for Image Classification with Vision-Language Models

arXiv cs.LG (Machine Learning) ・ 2026-06-30

学術

AutoTrainess: Teaching Language Models to Improve Language Models Autonomously

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Revising RVL-CDIP: Quantifying Errors and Test-Train Overlap

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

CDR-Bench: Evaluating Faithful Execution of Compositional, Order-Sensitive Data Refinement Recipes

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Clinically Structured Rank-Gated LoRA for Cross-Benchmark Medical Question Answering

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

Gated Multi-Graph Fusion via Graph Attention Networks for Alzheimer's Disease Detection

arXiv cs.CL (Computation and Language) ・ 2026-06-30

学術

VLK: Learning Humanoid Loco-Manipulation from Synthetic Interactions in Reconstructed Scenes

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

GROW$^2$: Grounding Which and Where for Robot Tool Use

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

C$^{2}$R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Words Speak Louder Than Code: Investigating Cognitive Heuristics in LLM-Based Code Vulnerability Detection

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Morphing into Hybrid Attention Models

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Convergence of Continual Learning in Homogeneous Deep Networks

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Poller: Are LLMs Suitable for Evaluating the Poetry Understanding Task?

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Bridging the NISQ and Fault-Tolerant Regimes: Generative-ML-Assisted Quantum Selected CI for Molecular Simulations

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

$μ$Flow: Leveraging Average Images for Improving Generalisation of Deepfake Faces Detectors

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Staged Hybridisation for Visual Quantum Reinforcement Learning via Knowledge Distillation

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Regime-Aware Peer Specialization for Robust RAG under Heterogeneous Knowledge Conflicts

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Experience Augmented Policy Optimization for LLM Reasoning

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Beyond IID: How General Are Tabular Foundation Models, Really?

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

A Stochastic--Geometric Theory of Scaling Laws in Grokking

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

On the Vulnerability of Parameter-Level Defenses to Model Merging

arXiv cs.LG (Machine Learning) ・ 2026-06-29

学術

Residual-Guided Expert Specialization for Incomplete Multimodal Learning

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer Training

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Research Entity Extraction and Topic Detection from UKRI Grant Proposals

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

ManimAgent: Self-Evolving Multimodal Agents for Visual Education

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Rehearsed Multi-Agent Live Product Demonstrations with Real-Time Voice Question Answering

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Multi-Agentic System Leveraging Open-Source LLMs to Mitigate Disinformation Threats

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Grounding LLM Reasoning under Incomplete Graph Evidence

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Forewarned is Forearmed: When Non-Sequential Embedding Turns Into an Anomaly Detector

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Domain Adaptation with Adaptive Imagination for Visual Reinforcement Learning under Limited Target Data

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Relevance Is Not Permission: Warranted Attention for Value Contributions

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Query-Aware Spreading Activation for Multi-Hop Retrieval over Knowledge Graphs

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Open Problems in Constitutional Preference Reconstruction

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

SA-VLA: State-aware tokenizer for improving Vision-Language-Action Models' performance

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Information Dynamics of Language Communication

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Little Brains, Big Feats: Exploring Compact Language Models

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Parametric Skills

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

T3R: Deeper Test-Time Adaptation for Graph Neural Networks via Gradient Rotation

arXiv cs.AI (Artificial Intelligence) ・ 2026-06-29

学術

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

IHDec: Divergence-Steered Contrastive Decoding for Securing Multi-Turn Instruction Hierarchies

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Know Before You Fetch: Calibrated Retrieval-Budget Allocation for Retrieval-Augmented Generation

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

MemDelta: Controlled Baselines and Hidden Confounds in Agent Memory Evaluation

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

KbSD: Knowledge Boundary aware Self-Distillation for Behavioral Calibration in Agentic Search

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Revealing the Technology Development of Natural Language Processing: A Scientific Entity-Centric Perspective

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Neural Procedural Memory: Empowering LLM Agents with Implicit Activation Steering

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Are Humans Evolved Instruction Followers? An Underlying Inductive Bias Enables Rapid Instructed Task Learning

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Mandol: An Agglomerative Agent Memory System for Long-Term Conversations

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

Managing Map Cardinality in Automatic Disease Classification Mapping: Balancing Precision, Recall and Coverage

arXiv cs.CL (Computation and Language) ・ 2026-06-29

学術

A Diagnostic Framework and Multi-Evaluator Audit of Evaluator-Driven Preference Dynamics in Self-Adapting LLM Agents

arXiv cs.CL (Computation and Language) ・ 2026-06-29

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