AI News

June 10, 2026

OpenAI & DeepMind

AI Research (general)

$\tau$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

arXiv cs.AI · Jun 10

$\tau$-Rec: A Verifiable Benchmark for Agentic Recommender Systems

$k$-Nearest Neighbors in Gromov--Wasserstein Space

arXiv cs.LG (Machine Learning) · Jun 10

$k$-Nearest Neighbors in Gromov--Wasserstein Space

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data

arXiv cs.LG (Machine Learning) · Jun 10

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data

++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation

arXiv cs.LG (Machine Learning) · Jun 10

++nnU-Net: Scaling nnU-Net with Prefix-Based Data Augmentation

3SPO: State-Score-Supervised Policy Optimization for LLM Agents

arXiv cs.LG (Machine Learning) · Jun 10

3SPO: State-Score-Supervised Policy Optimization for LLM Agents

A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems

arXiv cs.LG (Machine Learning) · Jun 10

A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems

A complementary study on PlanGPT: Evaluation with defined Performance Metrics and comparison with a planner

arXiv cs.AI · Jun 10

A complementary study on PlanGPT: Evaluation with defined Performance Metrics and comparison with a planner

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection

arXiv cs.LG (Machine Learning) · Jun 10

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection

A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications

arXiv cs.LG (Machine Learning) · Jun 10

A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

arXiv cs.LG (Machine Learning) · Jun 10

A Constrained Natural-Language Interface for Variational Multi-Physics Finite Element Simulations in FEniCS

AI in Biotech & High-Impact Journals

AI technology must serve human cognitive development, not the other way around

Nature Machine Learning · Jun 09

AI technology must serve human cognitive development, not the other way around

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance

Nature Machine Learning · Jun 09

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance

People are turning to AI chatbots to plug gaps in health information

Nature Machine Learning · Jun 09

People are turning to AI chatbots to plug gaps in health information

Scaling up training dataset size for transcriptomic AI models is much pain with little gain

Nature Machine Learning · Jun 09

Scaling up training dataset size for transcriptomic AI models is much pain with little gain

A disease-centric vision-language foundation model for precision oncology in kidney cancer

Nature Machine Learning · Jun 08

A disease-centric vision-language foundation model for precision oncology in kidney cancer

A scalable approach to investigating sequence-to-function predictions from personal genomes

Nature Machine Learning · Jun 08

A scalable approach to investigating sequence-to-function predictions from personal genomes

AI is taking on antibiotic resistance — here’s how

Nature Machine Learning · Jun 08

AI is taking on antibiotic resistance — here’s how

Chromatix: a differentiable, GPU-accelerated wave-optics library

Nature Machine Learning · Jun 08

Chromatix: a differentiable, GPU-accelerated wave-optics library

Federated orthogonal learning for detection of liver lesions from multi-phase contrast-enhanced CT images

Nature Machine Learning · Jun 08

Federated orthogonal learning for detection of liver lesions from multi-phase contrast-enhanced CT images

Gene dependency-informed inference of response to targeted cancer therapies

Nature Machine Learning · Jun 08

Gene dependency-informed inference of response to targeted cancer therapies