Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
Tech Xplore on MSN
AI model reads social media language to flag mental health risks
Mental health problems are among the most pressing of public health challenges, affecting millions across different age ...
Currently, this Sailor must spend hours manually cross-referencing decades worth of material history logs with historical maintenance records, send manually-collected vibration analysis data off-ship ...
Operational availability is the Nuclear Navy’s bread and butter, yet shipboard technicians are currently prevented from improving maintenance outcomes by an archaic data bottleneck. Scheduled ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.
News-Medical.Net on MSN
CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
Researchers claim that leading image editing AIs can be jailbroken through rasterized text and visual cues, allowing prohibited edits to bypass safety filters and succeed in up to 80.9% of cases.
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
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