This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.

A new post on Apple’s Machine Learning Research blog shows how much the M5 improved over the M4 when it comes to running a ...

Learn faster with a five-step framework and AI tools that cut study from 30 to 10 hours. Set goals, prime, deepen understanding, and apply skills.

In virtually all the ways that matter, getting summarized information from AI models was less educational than doing the work ...

By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

Background: To address gaps in global understanding of cultural and social variations, this study used a high-performance machine learning (ML) model to predict adolescent substance use across three ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research ...

AI-driven supply chain attacks surged 156% as breaches grew harder to detect and regulators imposed massive fines.

Abstract: Network management in the telecom industry is a resource-intensive task in which sub-optimal equipment configuration can significantly impact energy consumption. This research investigates ...