OpenAI Beefs Up ChatGPT’s Image Generation Model

The ChatGPT Images 2.0 model is here. Our testing shows it’s better at creating more detailed images and rendering text, but ...
Decrypt

Quantum Computers Could Boost AI by Processing Large Datasets More Efficiently

Researchers describe a method that feeds AI data into quantum computers in smaller batches instead of storing entire datasets ...
Stuff

Oppo Find X9 Ultra review: the smartphone I’d ditch my digital camera for

Incredible hardware, balanced processing, ace accessories and greater worldwide availability make the Oppo Find X9 Ultra a ...

Euclid Space Warps citizen science project helps hunt for strong gravitational lenses

With the launch of Space Warps, a new citizen science project on the Zooniverse platform, you can now join in the search to find rare and elusive strong gravitational lenses in never-before-seen ...
Electronic Design

Maximize Flexibility for AI at the Edge

Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...
Communications of the ACM

The Origins of GPU Computing

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Nanowerk

AI and machine learning offer new framework for managing urban plastic waste

A new AI-enhanced framework combines machine learning validation with life-cycle assessment to cut plastic waste emissions by ...
Hosted on MSN

First-ever black hole image sharpened using machine learning

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
IEEE

Learning-Based Uncertainty-Guided Adaptive Image Denoising: A Multi-Scale Patch Selection Framework

School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, India A. Shalini received the B.Tech. degree in computer science and engineering from Vellore Institute of ...
Frontiers

Traditional machine learning in biomedical image analysis: before you go too deep

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...