To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...

Abstract: The objective of this paper is to develop a novel emotion recognition system from electroencephalogram (EEG) signals using effective connectivity and deep learning methods. Emotion ...

AI-powered tools can help teams accelerate processes throughout the software development life cycle. Here’s how to make them ...

How prediction market “sharps” have made millions wagering on everything from war to Rotten Tomatoes. Credit...Illustration ...

By Prof. Samuel LARTEY,\xa0www.pefghana.orgArtificial Intelligence has become one of the most powerful forces shaping the contemporary digital era. It represents a major shift in human civilisation ...

This project aims to ease automated tracking and logging of meta information about experiments without enforcing any conceptual paradigm to be followed by the machine learning experiment and its data.

Artificial Intelligence will become deeply embedded in global economic and social systems. Research from leading ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.