Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...
For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...
A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.
Background Citizens depend on high-quality healthcare; however, significant disparities in quality persist among healthcare organisations. Healthcare services are complex organisations, making it ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Life cycle assessment (LCA) is the gold-standard method for quantifying the environmental footprint of products and processes ...
Abstract: Visual Place Recognition (VPR) is the task of matching current visual imagery from a camera to images stored in a reference map of the environment. While initial VPR systems used simple ...
The disordered atomic structure of metallic glasses creates a unique combination of high strength and elasticity but obscures which features control performance. Two machine learning approaches ...
Code and models for the CVPR 2022 paper "NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning" by Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...
Data science has revolutionized the hunt for high-performing catalysts, enabling scientists to quickly identify and test suitable materials. The integration of data science into electrocatalysis has ...