IIT Guwahati has released the GATE ECE Syllabus for Electronics and Communication Engineering with the official brochure. Get ...
The use of explainable AI allows for transparent identification of critical drivers, offering policymakers actionable ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
IIT Guwahati has released the GATE Syllabus for Civil Engineering with the official brochure. Get the direct link to download ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Abstract: Nonlinear functions (NFs) in Transformers require high-precision computation consuming significant time and energy, despite the aggressive quantization schemes for other components.
Stacking glass for high-frequency applications Glass is ideal for 6G wireless communication networks, which must support >100 ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Abstract: In deep learning models, the increasing complexity of activation functions makes hardware optimization crucial. This paper proposes an efficient computation framework for 4 elementary ...
This valuable study analyzes aging-related chromatin changes through the lens of intra-chromosomal gene correlation length, which is a novel computational metric that captures spatial correlations in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback