Researchers from the USC Viterbi School of Engineering are presenting 24 papers at the 2025 International Conference on Learning Representations (ICLR), Apr. 24-28, one of the premier global ...

MIT researchers have recently unveiled an innovative framework that organizes artificial intelligence (AI) algorithms in a ...

MIT researchers found that different algorithms can all be grouped into a ‘periodic table’ of AI. The idea for the table was ...

Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

This valuable study introduces a self-supervised machine learning method to classify C. elegans postures and behaviors directly from video data, offering an alternative to the skeleton-based ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...

Ben-Gurion University scientists say their innovative algorithm, WGAND, can identify rogue protein behavior the same way investigators uncover suspicious social network patterns ...

Cardiac fibroblasts (CF) can become activated and produce excessive extracellular matrix, contributing to fibrotic remodeling ...

Language technology has grown fast, but it still feels frustrating at times. Maybe your virtual assistant misunderstands commands, or translation tools miss the tone of a sentence. These gaps can […] ...

Researchers have successfully employed an algorithm to identify potential ... and PRINT, a deep-learning-based method to detect these types of footprints of DNA-protein interactions.

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...