is using Altera Arria® 10 FPGAs (field programmable gate arrays), to achieve compelling performance-per-Watt in data center acceleration based on CNN (convolutional neural network) algorithms. These ...

“We’ve just been hearing from users like constantly that this is a problem,” Sameer Samat, Google’s Android ecosystem president, said in a CNN interview. The anti-spam tech works by ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

Their study—"Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach"—was published in the Journal of Management Information Systems and focuses on ...

With the outbreak of the COVID-19 pandemic, attention began to focus on how AI could improve public health, specifically pathogen detection ... by combining multiple algorithms simultaneously.

Automated Depression Detection (ADD) systems using text and audio offer scalable mental health assessment solutions. This review systematically evaluates 65 studies published between 2018 and 2024, ...

Zhang emphasizes that the "deep knowledge-aware depression detection framework" has potential applications for individuals, as well as public health professionals, policymakers and researchers. Social ...

To meet the need for precise, real-time predictions, this study proposes an improved CNN framework for heart attack diagnosis ... we employed the Flower Pollination Algorithm (FPA) to maximize ...

This research paper delves into the application of deep CNNs for human emotion detection. Leveraging datasets rich in annotated facial expressions, our study explores the architecture and training ...