Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ...
Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Machine learning helped identify new superconductors and a process that could speed the discovery of thousands more ...
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.
Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.
By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results