1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

Artificial intelligence is changing how we study dinosaurs. Scientists use AI to rebuild fossils and create realistic images.

We are now seeing these processors arrive on the market, supported by software from manufacturers and their partners. This ...

By using explainable AI, the study identifies not only which skills define each cluster but also the relative importance of these skills in classification decisions. This level of interpretability ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

A self-powered kirigami cube sensor detects force direction and pressure through one signal channel, enabling compact and ...

KMWorld's Trend-Setting Products list of 2025 is composed of the contributions of forward-thinking vendors that are leading the way in innovation.

AI productivity tools that can change how you work online help streamline tasks and boost efficiency for remote teams.