Launched at an exclusive VIP event in Baku, ODUN.ONE marks the industry's shift from Deep Packet Inspection to Deep ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The Print on MSN
India’s digital de-addiction centres getting busier. AI to aid early detection, ‘relapse always a risk’
As India’s digital footprint expands, more and more people are grappling with non-substance addictions like excessive ...
Model ML today announced the acquisition of Captide, the leading financial data layer that turns complex global corporate filings and disclosures into LLM-ready documents and data for AI agents.
Google Threat Intelligence Group (GTIG) has published a new report warning about AI model extraction/distillation attacks, in ...
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...
Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...
The Southern Maryland Chronicle on MSN
How are QA teams using machine learning to predict test failures in real time?
QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
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