Results 51 to 60 of about 10,242,979 (306)
Policy Reuse in Deep Reinforcement Learning
, 2017 Driven by recent developments in Artificial Intelligence research, a promising new technology for building intelligent agents has evolved. The approach is termed Deep Reinforcement Learning and combines the classic field of Reinforcement Learning (RL ...
Costa, Anna +3 more
core +1 more source
Evaporation and soil moisture prediction with artificial intelligence and deep learning methods [PDF]
, 2023 Understanding future changes and predicting hydrological variables well in advance is practically useful in water resources and drought management measures.
Jayasinghe Mudiyanselage, W.J.M. Lakmini Prarthana
core +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Iraqi Journal for Computer Science and Mathematics, 2022 In the modern era, many terms related to artificial intelligence, machine learning, and deep learning are widely used in domains such as business, healthcare, industries, and military.
Karan Aggarwal +7 more
doaj +1 more source
Artificial Intelligence, Radiomics, and Deep Learning in Neuro-Oncology [PDF]
Neuro-Oncology Advances, 2020 Besides the histomolecular evaluation of tissue samples obtained from resection or biopsy, neuroimaging forms the basis for the diagnosis of brain cancer. Contrast-enhanced MRI is the method of choice for brain tumor diagnostics, treatment planning, and follow-up.
Galldiks, Norbert +2 more
openaire +3 more sources
National Security Commission on Artificial Intelligence: Interim Report, November 2019 [PDF]
, 2019 Report presenting the National Security Commission on Artificial Intelligence's initial (NSCAI)'s preliminary assessment of artificial intelligence (AI).
National Security Commission on Artificial Intelligence (U.S.)
core
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Artificial intelligence, machine learning, and deep learning in liver transplantation
Journal of Hepatology, 2023 Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. The management of LT recipients is complex, predominantly because of the need to consider demographic, clinical, laboratory, pathology, imaging, and omics data in the development of an appropriate treatment plan.
Mamatha Bhat +3 more
openaire +2 more sources
, 2020 Artificial intelligence applied to the educational field has a vast potential, especially after the e ects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed to respond to the health situation we are living in.
Colomo Palacios, Ricardo +7 more
core +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source