Artificial intelligence (AI) is emerging as a powerful force in breast cancer research, but the future of personalized care will not be written by ...
Foundation model-powered dual-module system establishes a new performance benchmark for AI-driven peptide drug ...
Struggling with microseismic signal classification in deep underground engineering? Researchers from Sichuan University ...
Artificial intelligence (AI) is emerging as a powerful force in breast cancer research, but the future of personalized care will not be written by ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
(A) Schematic of T cell isolation and activation protocol. (B) Sample preparation, imaging, and analysis workflow using deep-UV microscopy. (C) Sample deep-UV images of CD4 T cells during a 21-d ...
This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...
Index modulation (IM) has emerged as a promising technique for improving spectral efficiency and hardware efficiency in next-generation communication ...
A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results