Cognitive computing represents an innovative frontier within computer science, merging artificial intelligence, machine ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

CHARLESTON — West Virginia schools are increasing their online safety training for students to educate children on the ...

WashU Medicine researchers find stimulant medications don’t affect attention-controlling regions of the brain, as previously ...

Our thoughts are specified by our knowledge and plans, yet our cognition can also be fast and flexible in handling new information. How does the well-controlled and yet highly nimble nature of ...

Scientists in Germany are drawing inspiration from the human brain to develop a new generation of ultra-fast, highly ...

The visit to SDSC included a guided tour and hands-on activities to broaden their understanding of research driven by data and computation. These student developers also had the chance to meet ...

Abstract: To fill the gap of dynamic and efficient spectrum management, this research presents a cognitive computing for smart spectrum allocation in wireless systems. In preprocessing, the input ...

Abstract: As such, cognitive computing which uses Advance AI technology to replicate the operations of the human brain can transform the decision making process of the HR. The technology specific to ...

Imagine waking up to the news that a deadly new strain of flu has emerged in your city. Health officials are downplaying it, but social media is flooded with contradictory claims from “medical experts ...

Artificial Intelligence (AI) is rapidly transforming industries across the globe, and Wyoming stands to benefit significantly from its strategic implementation. By showcasing case studies, research, ...

According to Andrej Karpathy, the AI industry is witnessing a significant shift towards developing 'cognitive core' large language models (LLMs) with a few billion parameters that prioritize real-time ...