News

A Deep Learning Alternative Can Help AI Agents Gameplay the Real World
A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
Self-learning neural network cracks iconic black holes
A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...
Tech Xplore on MSN10h
Innovative detection method makes AI smarter by cleaning up bad data before it learns
In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...
CNET on MSN8h
Meta Says Its New AI Model Understands Physical Rules Like Gravity
The new open-source model, called Video Joint Embedding Predictive Architecture 2, or V-JEPA 2, is designed to help ...
Frontiers3d
Integrating computational models, including Bayesian models, digital twins, and deep learning, for advancing pre-clinical and clinical neuroscience
Translational neuroscience is deeply engaged with the notion that the brain functions on computational principles, including ...
lse4d
Ethics of AI
Professionals within the public sector, private sector, and civil society who are faced with ethical issues relating to AI, data, and general technological ... in artificial intelligence (AI) and ...
Interesting Engineering on MSN1d
Meta’s new V-JEPA 2 AI helps robots predict and plan using nothing but raw video data
Meta unveils V-JEPA 2, a world model trained on video to help robots predict real-world physics and act with human-like ...
GitHub3d
inverse-problems
Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.