News
We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...
This is a well-written study that presents a solid genetic screen to identify regulators of adipose morphology and remodeling in zebrafish. The authors generated a rigorous screening platform based on ...
Google seems to have updated its core web vitals metrics within Google Search Console a few days ago. The weird thing is that ...
Background Alexander disease is an autosomal dominant leukodystrophy caused by heterozygous pathogenic variants in the glial ...
7d
Tech Xplore on MSNFaster, smarter, more open: Study shows new algorithms accelerate AI modelsJust as people from different countries speak different languages, AI models also create various internal "languages"—a unique set of tokens understood only by each model. Until recently, there was no ...
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
The global federated learning market size was US$ 108.8 million in 2021. The global federated learning market is expected to grow to US$ 251.1 million by 2030 by growing at a compound annual growth ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
FORESIGHT-ID is a multi-machine learning platform designed to accurately model and forecast greenhouse gas (GHG) emissions ...
BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...
AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results