A Co-Simulation Framework for Deep Learning on Chiplet-Based Systems” was published by researchers at University of Wisconsin ...

Mohapatra’s goal is to design robust deep learning frameworks capable of adapting to practical sensing scenarios in healthcare, continuous sensing, and audio domains.

Learn how cloud GPU services like LiquidWeb can benefit medical imaging, focusing on scalability and diagnostics. Ride the wave of innovation in the medical industry.

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Gathering and processing this data is time consuming and expensive, limiting the models' use to areas with long-term data records and high-powered computers. To overcome these limitations, the ...

BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...

According to the authors, this evolution marks a clear transition from traditional rule-based security toward data-driven, ...

Chennai: In a major push to build deep-tech capabilities in India’s workforce, IITM Pravartak Technologies Foundation, the Technology Innovation Hub of IIT Madras, has announced the launch of the ...