Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Abstract: While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard product.

How funny is AI, really? Not all senses of humor are made equal. ( Undark) + What happened when 20 comedians got AI to write their routines. ( MIT Technology Review) 10 Work has begun on the first ...

Library for efficient training and application of Machine Learning Interatomic Potentials (MLIP) - instadeepai/mlip ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Several machine learning (ML) algorithms have been applied to predict path loss values, and various features have been proposed as input features in ML models. This study proposed two new types of ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...