A newly compiled dataset of nearly one billion images of auroras is helping researchers categorize—and perhaps ultimately anticipate—the Northern Lights.
Despite the hype over artificial intelligence in medicine, the systems require consistent monitoring and staffing to put in place and maintain. Checking whether an algorithm has developed the software equivalent of a blown gasket can be complicated — and expensive.
The agency wants applicants to demystify their algorithms and provide specific details about what the models do, how they’re supposed to be used, how risky they are to patients, how well they perform and how companies plan to monitor them. It also asks companies to design and complete credibility assessments for their models.
From facial recognition tools to algorithms that identify diseases, agencies reported that they didn't know enough about what they're acquiring from commercial vendors.
A Mount Sinai-led team of researchers has enhanced an artificial intelligence (AI)-powered algorithm to analyze video recordings of clinical sleep tests, ultimately improving accurate diagnosis of a common sleep disorder affecting more than 80 million people worldwide.
In 2025, the evolution of AI will not only go beyond innovation—it will solidify its role as a trendsetter in how businesses compete.
Mount Sinai researchers have improved an AI tool for diagnosing a major sleep disorder from video sleep tests. Their approach, which captures the subtleties of sleep movements with enhanced accuracy,
Landlord LiAIson It turns out that many of the country's most powerful landlords are using the same AI to jack up your rent. Packaged as part of the popular property management software RealPage, the artificial intelligence tool is nominally intended to give rent price recommendations to landlords.
Technology can summon and reimagine the past through AI-generated videos based on algorithms that influence the content we consume.
Researchers hope the AI tool will aid in the development of cell-specific gene therapies to treat diseases such as cancer.
Meta quickly pulled the plug on AI bot accounts it had tested on Facebook and Instagram after users attacked the idea
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on synthetically generated data before it is used and thus learns to evaluate possible causal relationships and use them for predictions.