As the India AI Impact Summit puts the spotlight on artificial intelligence adoption, our legacy industries are poised to ...

Researchers at the University of California, Santa Cruz have trained lab-grown brain organoids to solve a goal-directed task, ...

Data-analysis and modelling positions are already becoming obsolete, but hands-on experimentalists can breathe easy for now.

Former Hyland CEO, Bill Priemer, brings decades of insight and leadership to bolster KeyMark's strategic planning and ...

From limited, task-specific automation to sophisticated Cognitive Intelligence Platforms (CIPs), artificial intelligence has undergone tremendous ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

A long discussion during a prominent cyber event in Dubai highlighted how Security Information and Event Management has evolved far beyond log aggregation and static alerts into intelligent, ...

Abstract: Urban transportation systems increasingly demand responsive and scalable predictive frameworks to manage fluctuating passenger volumes in real time. This study proposes a novel adaptive ...

Background Motor and cognitive dysfunctions are common and disabling features in multiple sclerosis (MS) that remain challenging to treat. Here, we aimed to explore the effect of exergames as a ...