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 ...

In the ever-evolving landscape of artificial intelligence, there is a growing interest in leveraging insights from ...

A recent study published in Engineering unfolds a novel deep learning (DL)-powered framework tailored for the environment-adaptive navigation of size-adaptable microswarms. Spearheaded by Lidong Yang ...

Please provide your email address to receive an email when new articles are posted on . The adaptive deep brain stimulation technology is the first of its kind to address symptoms of Parkinson’s ...

After decades of development and trials, Medtronic has secured U.S. Food and Drug Administration approval for adaptive technology personalizing treatment of Parkinson’s symptoms using advanced ...

Adaptive learning tools help teachers do their jobs more efficiently and support student engagement, concludes a recent study. But the study—conducted by foundry10, a philanthropic education research ...

Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can't keep up with shifting workloads. Speculators are smaller AI models that work ...

A pilot program in online adaptive learning at UC Santa Cruz has led to higher placement in math courses for newly admitted freshman students—and a commitment to instruct students in math in ways that ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.