Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Across all investor groups, AI is becoming a significant tool for spotting patterns. Markets often react to subtle signals, ...
Machine learning to identify the factors that may determine the age of onset of Huntington’s disease
A team from the Faculty of Medicine and Health Sciences and the Institute of Neurosciences at the University of Barcelona ...
In a meta-analysis published in Gut Microbes, investigators pooled shotgun metagenomic sequencing data to examine how gut ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
Perpetuals.com Ltd (NASDAQ:PDC) ("Perpetuals"), a provider of an AI-driven derivatives trading platform, today announced that ...
News-Medical.Net on MSN
New medical LLM detects depression in women via WhatsApp audio analysis
A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with ...
SpaceX uses your data to train its machine learning and AI models and might share that with partners who 'help us develop ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results