Rubin Observatory in northern Chile. The picture, fittingly dubbed Ocean of Stars, marks the beginning of Rubin's 10-year ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Google's Gemini now offers free personalized AI image generation for US users, using your Google data to create custom visuals. Learn how to access it today.

Robert Haase, Loic Alain Royer, Peter Steinbach, Deborah Schmidt, Alexandr Dibrov, Uwe Schmidt, Martin Weigert, Nicola Maghelli, Pavel Tomancak, Florian Jug, Eugene W ...

Adobe released Photoshop version 27.7 today, and one of the most interesting additions is an on-device AI model for the Remove tool that, alas, comes with rather steep hardware requirements. Here are ...

The United States is spending billions of dollars to secure access to critical minerals – minerals and metals that are essential to modern technology, from electric vehicles to smartphones and ...

With US restrictions limiting its access to advanced tech, SenseTime is doubling down on open source with a new model optimized to run on Chinese-made chips. The model’s secret sauce is its ability to ...

Summary: OpenAI’s Codex for Mac has added Chronicle, a research preview feature that periodically captures screenshots, sends them to OpenAI’s servers for processing, and stores text summaries as ...

Summary: Google is in talks with Marvell Technology to develop two new AI chips – a memory processing unit and an inference-optimised TPU – adding a third design partner alongside Broadcom and ...

Nvidia Corp. kicked off its annual GTC 2026 developer conference in San Jose today by announcing a number of new chips and computing platforms aimed at data center operators. But though most of the ...

Self-supervised learning in vision-language processing exploits semantic alignment between imaging and text modalities. Prior work in biomedical VLP has mostly relied on the alignment of single image ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...