Explore 5 powerful advances in satellite mapping, robotic sampling and crop insights, plus adoption barriers in 2026.

A deep learning program trained on trypan blue-stained images classifies live and dead unstained cancer cells in ...

A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without ...

In deep learning, a vast amount of training data is usually required. However, in practice, we often hit a wall where we ...

Overview: Learn programming fundamentals, data handling, libraries, and API integration before tackling advanced AI ...

Label it or lose it. We ranked 2026’s best data classification tools — BigID leads, Purview and Varonis podium. 9 distinct vendors, Yes/No table inside.

Cloudflare's Clef-omni is a 30B-A3B open-weight decision model that scores audio, video, image and text in one call.

Introduction A few years ago, when I was tasked with an in-house PoC for image classification, I took sample code for transfer learning and ran it almost as-is. The training ran. The accuracy stopped ...

As artificial intelligence technologies become increasingly widespread, the growing demand for processing power and energy is emerging as a global challenge. Assistant professor Uğur Teğin from Koç ...

WiMi Hologram Cloud Inc. announced that it is researching the application of quantum machine learning to image classification. Its researched hybrid quantum neural network architecture, through ...

Project ARISE expanded its work by organizing invasive-plant removal drives, habitat restoration efforts and environmental ...

A semi-supervised machine learning approach can cut the expert-labeling burden for beluga whale aerial surveys by five to ten times — and still outperform supervised baselines — according to a new ...