Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

Supported tasks include image classification (ImageNet, CIFAR), 2D maze navigation, QAMNIST, parity computation, sorting, and reinforcement learning.

Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

AI and machine learning are fundamentally transforming digital marketing by offering unprecedented opportunities for personalization, predictive analytics and efficient campaign management.

Custom CRISPR—Cas9 PAM variants via scalable engineering and machine learning. Nature, 2025; DOI: 10.1038/s41586-025-09021-y ...

Researchers used machine learning to predict the PAMs of millions of Cas9 enzymes, identifying a set of novel engineered Cas9 enzymes that would have the best on-target activity and specificity.

The model is based on a two-step Deep Operator Network (DeepONet) architecture that includes symmetry-preserving features to handle the geometric characteristics of architected materials. The paper ...

By Derek du Preez April 14, 2025 Audio mode toggler Dyslexia mode Summary: European construction giant Eiffage has taken an unusual approach to its Google Cloud-powered AI implementation: making an 80 ...

The “machine learning-based age estimation model” will try to predict whether a user is under 18 and, if so, apply appropriate age filter settings to their account.

But while it still plays a part in our machine learning, AI PC, it’s not the lynchpin. Still, you want a modern one with lots of cores and preferably a strong upgrade path for the future, too.

A new technical paper titled “Semi-Supervised Learning with Wafer-Specific Augmentations for Wafer Defect Classification” was published by researchers at Korea University. Abstract “Semi-supervised ...

Today's AI technology could help robots get the hang of conducting complex surgeries. Researchers have taught a robot surgical system to expertly perform a bunch of surgical tasks as capably as ...