Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Abstract: Multi-task multi-agent reinforcement learning (M T-MARL) has recently gained attention for its potential to enhance MARL's adaptability across multiple tasks. However, it is challenging for ...

Abstract: Training deep neural networks at scale requires significant computational resources, making distributed deep learning (DDL) on cloud infrastructure an attractive option. Spot Virtual ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

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 ...

Carly Lane is an Atlanta-based writer and critic who has been with Collider in some form or fashion since 2021. She considers herself a television nerd, diehard romance/sci-fi/fantasy reader, and ...

What if the future of enterprise AI isn’t about speed, but depth? This is Thomson Reuters Westlaw’s bet; the company’s Deep Research platform was specifically designed to take its time, working an ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...