DeepSeek unveils new AI model tailored for Huawei chips as China pushes for tech autonomy

DeepSeek, the Chinese startup whose low-cost AI model stunned the world last year, launched on Friday a preview of a highly ...

China’s DeepSeek rolls out a long-anticipated update of its AI model

Marina Zhang, an associate professor at the University of Technology Sydney, said DeepSeek’s V4 rollout is as a “pivotal ...
TMCnet

Kumo Launches KumoRFM-2, the First Foundation Model to Outperform Machine Learning on Enterprise Data, Scaling to 500 Billion Rows

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

Delhi Technological University, TimesPro announce the inaugural advanced certificate program in artificial intelligence

Six-month, CTEL-led programme blends machine learning, deep learning and generative AI with hands-on projects and a three-day ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
marktechpost

Meet SymTorch: A PyTorch Library that Translates Deep Learning Models into Human-Readable Equations

Can symbolic regression be the key to transforming opaque deep learning models into interpretable, closed-form mathematical equations? or Say you have trained your deep learning model. It works. But ...
IEEE

Predicting Student Academic Performance Via Deep Learning: PyTorch-Based Study on UCI Dataset

Abstract: Predicting student academic performance is crucial for early intervention and improved educational outcomes. This study introduces a deep learning framework using a feedforward neural ...
IEEE

Deep Transfer Learning for Multi-Class Brain Tumor Classification from MRI using PyTorch

Abstract: Exact brain tumor determination from restorative pictures may be a exceptionally challenging errand in clinical neurology, requiring the improvement of computerized classification frameworks ...