Meta and researchers unveil AI models that convert brain activity into text with unmatched accuracy
The first of the studies, carried out by Meta's Fundamental Artificial Intelligence Research (FAIR) lab in Paris, collaborating with the Basque Center on Cognition, Brain and ...
Brain-inspired neural networks reveal insights into biological basis of relational learning
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...
Scientific Research Publishing1d
Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data ()
Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.
eLife4d
Orexin population activity precisely reflects net body movement across behavioral and metabolic states
This important study shows that the activity of hypothalamic hypocretin/orexin neurons (HONs) correlates with body movement over multiple behaviors. Sophisticated techniques and analyses showcase this ...
GitHub6d
Machine Learning for .NET
ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom models in their .NET applications without ...
RCR Wireless News6d
AI 101: The evolution of AI and understanding AI workflows
While enterprise AI adoption obviously comes with challenges, NVIDIA is taking an end-to-end full stack approach to ...