Artificial Intelligence

The need for sustainability within computing has never been so prevalent, with artificial intelligence, large language models, and high-performance computing requiring energy intensive processes that are contributing to increased carbon emissions. This article explores sustainability trends within the sector.

In this article, IDTechEx explores the fascinating relationship between quantum computing and AI: two supposed tech revolutions that frequently grab the spotlight. Underneath the hype, there exist both technical synergies and competing market forces.

In this article, IDTechEx examines the complex decisions shaping digital transformation in materials R&D and what they mean for the future of AI-powered innovation.

Co-habiting or working alongside robots with humanlike capabilities may no longer be a thing of science-fiction. This article covers humanoid robots, collaborative robots, and vehicle autonomy, as well as the use of AI software within robotics.

Making the call to order a coffee on-the-go could be the new normal for vehicles fitted with in-cabin sensing features and artificial intelligence systems. This article explores the future of software-defined vehicles and increasing levels of autonomy.

There is an increasing need for efficient and scalable storage, necessary to keep up with the increasing demands of data storage that is becoming more prevalent each year. This article covers developments and demand for data centers, AI, and edge computing.

Collaborative robots (cobots), driven by AI, machine vision, and modular designs, are revolutionizing smart factories by enhancing human-robot collaboration, achieving 95%+ accuracy in tasks, and targeting a US$29.8 billion market by 2035.

Smart glasses could create real life subtitles for clearer interactions, while helmets for firefighters or policemen with sensing technology could make high-risk jobs safer. This article explores a future of accessible technologies to bring ease to daily life.

AI and machine learning methods can be used across a battery's entire life, from material discovery and cell testing to second-life assessment, to enhance new developments and diagnostic capabilities.