Results 21 to 30 of about 781,393 (257)
Designing and understanding light-harvesting devices with machine learning
Nature Communications, 2020 Photon-induced charge separation phenomena are at the heart of light-harvesting applications but challenging to be described by quantum mechanical models.
Florian Häse +3 more
doaj +1 more source
PROGRESS OF ARTIFICIAL INTELLIGENCE (AI)
Journal of Social Sciences, 2017 В последние годы такие системы, как Siri и Google Now, заставили нас понять, что нам не нужно иметь ноутбук для прозрачного взаимодействия с информацией. В этой модели ИИ перейдет от распознавания речи к взаимодействию с естественным языком, генерации естественного языка и, возможно, способности писать и получать информацию.
openaire +6 more sources
RAG: Facial Attribute Editing by Learning Residual Attributes
IEEE Access, 2019 Facial attribute editing aims to modify face images in the desired manner, such as changing hair color, gender, and age, adding or removing eyeglasses, and so on. Recent researches on this topic largely leverage the adversarial loss so that the generated
Honglun Zhang +4 more
doaj +1 more source
Research Priorities for Robust and Beneficial Artificial Intelligence [PDF]
, 2015 Success in the quest for artificial intelligence has the potential to bring unprecedented benefits to humanity, and it is therefore worthwhile to investigate how to maximize these benefits while avoiding potential pitfalls.
Dewey, Daniel +2 more
core +2 more sources
Molecular bases of circadian magnesium rhythms across eukaryotes
FEBS Letters, EarlyView.Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Molecular Oncology, EarlyView.Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
IEEE AccessVehicle detection plays a vital role in a variety of applications such as autonomous driving, traffic management, and public safety. In this article, we propose an ensemble artificial intelligence framework to simultaneously detect and classify various ...
Quan Yuan +8 more
doaj +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
, 2018 This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation.
Hertzmann, Aaron
core +2 more sources
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source