Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

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

Scientists have tapped artificial intelligence and powerful computing to take a first step to speed up how quickly officials ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Rainfall prediction is critical in regions prone to flooding, where changes in weather patterns can significantly impact water levels, transportation, environmental health, evacuation strategies, and ...

This research proposes a deep learning-oriented method for forecasting the co-morbidity of hypertension and diabetes utilizing Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) ...

A machine learning framework for predicting cognitive impairment in aging populations using urinary metal and demographic data ...