Abstract: Modulation recognition in electronic support measures systems is challenging due to the scarcity of labeled data. To address this, we propose a Dual-Loop Meta-Learning network for automatic ...
The key themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return ...
A new technical paper titled “Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference” was published by researchers at Rensselaer Polytechnic Institute, ScaleFlux and IBM T.J.
Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...
Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...
Discover how CoreWeave’s bare-metal GPU clusters and new AI workloads could drive massive growth. Find out more about the ...
Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback