Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...
Seven-month LIVE online programme, delivered with TimesPro, builds hands-on capability in Python, TensorFlow, PyTorch, and ...
Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...
The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...
Deep Learning with Yacine on MSN
Digit recognition with deep learning — PyTorch beginner project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
Abstract: Parkinson's disease is a neurological disorder hat effects the movements including shaking, stiffness, difficulty while walking and speaking. This condition will occur when the nerve cells ...
Technical and strategic roles alongside those requiring human judgement and connection are on the rise Read more at The ...
Alphabet’s TorchTPU push targets Nvidia with competitive AI hardware/software and key data center assets via Intersect. Click ...
A PyTorch implementation of the FaceNet [1] paper for training a facial recognition model using Triplet Loss. Training is done on the VGGFace2 [2] dataset containing 3.3 million face images based on ...
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