By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: This paper presents an object recognition system that uses machine learning to improve automation in industries. Using deep learning models, the system achieves high accuracy in real-time ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

New high-resolution camera detects fine and semi-transparent objects, paving the way for improved inspection processes, surgical and agricultural robots Kyocera Corporation (President: Hideo Tanimoto; ...

Embark Studios' contradictory statements about generative AI highlight what's sure to be a long-term industry debate. When you purchase through links on our site, we may earn an affiliate commission.

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

According to @soumithchintala, PyTorch has experienced unprecedented growth while maintaining its foundational values, highlighting the framework's expanding influence in the AI industry (source: ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...