This year's winners are Ronna Turner, Vicki Collet, Julie Hill, Christine Holyfield, Jessica Danley, Abigail Schmitt, Elizabeth Lorah, Josh McGee, Sheida Raley and Hope Ballentine.
Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...
Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...
ABSTRACT: Morphological segmentation is foundational for Natural Language Processing in morphologically rich languages, such as Amharic, yet progress is constrained by limited gold annotations and ...
Re “Tech Giants Racing to Add A.I. to Schools Around the World” (Business, Jan. 5): With the proliferation of A.I. tools and the push for their adoption in schools, there has never been a greater need ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Abstract: Transfer learning in robotics aims to transfer knowledge across different robot agents or tasks. Current methods in trajectory tracking problems leverage transferred knowledge to provide a ...
Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
Abstract: Precision agriculture faces persistent challenges, including unpredictable weather, fluctuating carbon emissions, noisy sensor data, and security vulnerabilities, which hinder the ...
Deep learning’s (DL’s) promise and appeal is algorithmic amalgamation of all available data to achieve model generalization and prediction of complex systems. Thus, there is a need to design ...
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