Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

Discover why top product managers focus on systems rather than individual features in this insightful conversation with Siddharth Arora about strategy, product thinking, and building scalable ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed ...

An interdisciplinary research team from two working groups at the Centre for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...

Background Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to cancer-related outcomes. This study describes the ...