Learning from potential disinformation introduces specific cognitive biases, causing individuals to systematically deviate from an idealized Bayesian updating strategy.

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...

Former OpenAI researcher Trapit Bansal has officially joined Meta Superintelligence Labs. The superintelligence team is part of Meta's efforts to develop artificial general intelligence (AGI) and ...

Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning unless the client provides explicit opt-in consent.

Abstract: A crucial task in predictive maintenance is estimating the remaining useful life of physical systems. In the last decade, deep learning has improved considerably upon traditional model-based ...

These images show where earthquakes happened during the Noto Peninsula swarm in Japan. Maps (a) and (c) use a standard existing method (GrowClust), while maps (b) and (d) show the results from the new ...

Researchers from the School of Intelligent Systems Engineering at Sun Yat-sen University in Shenzhen, along with the Guangdong Provincial Key Laboratory of Intelligent Transportation System and the ...

Developing novel materials drives significant breakthroughs across various engineering fields. Recent advancements in computational resources and techniques have enabled comprehensive material ...

Abstract: Federated learning (FL) is an approach to training machine learning models that takes advantage of multiple distributed datasets while maintaining data privacy and reducing communication ...