Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
News-Medical.Net on MSN
AI trained on sleep data predicts future disease and mortality years in advance
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
16hon MSN
The Economics of Efficiency: How Intelligent Automation Is Driving Cost Optimization in Enterprises
Gaurav Gupta leads enterprise efficiency by integrating intelligent automation and CRM modernization to optimize costs while ...
Tadeo Ramirez-Parada studied the timing of plant flowering for his PhD — but he didn’t touch a single petal. Instead, he ...
Tech Xplore on MSN
Ancient board game tactics help AI unlock optimal cooling strategies
When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...
Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...
Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Shahar Azulay, CEO and cofounder of groundcover is a serial R&D leader. Shahar brings experience in the world of cybersecurity and machine learning having worked as a leader in companies such as Apple ...
Modern approach to DSPM has one glaringly clear weak spot, neglecting a key aspect of enterprise data usage: the fact that ...
2UrbanGirls on MSN
Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
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