The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...
Abstract: This project explores the creation of a machine object based on learning recognition system to increase accessibility for those with visual impairments. The system recognises and classifies ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
Abstract: Classification is an important problem in artificial intelligence. In this work, a novel optimized projection based support tensor machine (OPSTM) has been presented for recognition of ...
Willkommen. Bienvenue. Welcome. C’mon in. Meta has unveiled Omnilingual Automatic Speech Recognition (ASR), an AI system that can transcribe speech in over 1,600 languages — including 500 low-resource ...
If you find 3D printers to be just a little too coldly futuristic, this contraption might be more to your liking. Scientists from Cornell University have created a machine that knits solid 3D objects ...
Autumn Gardiner thought updating her driving license would be straightforward. After getting married last year, she headed to the local Department of Motor Vehicles office in Connecticut to get her ...
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 ...
The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results