The convergence of data science, machine learning, and healthcare represents one of the most promising frontiers in modern technology. Advanced analytical methods, particularly those leveraging deep ...

Columbia University M.P.S. in Insurance Management graduate Phil Offutt shares how AI is leveraged to find correlations and ...

Explore how GaGe’s digitizer technology enables accurate and scalable signal integrity testing for modern data link ...

AI is changing how organizations use data, but it's also creating new risks along the way. Sensitive data flows into model pipelines, training sets, third-party APIs, and generative ...

Sensitivity analysis in finance is a way of looking at the influence of independent variables on dependent ones. Read on to ...

Bengaluru-based Contineu uses AI and 360-degree site scans to make quality checks faster, smarter, and more reliable across ...

Language models seem to be more than stochastic parrots. Does this knowledge stop them from making mistakes, or do they need ...

Prateek Temkar, product mgmt lead for a Symantec business at Broadcom, said creating a DLP strategy includes identifying ...

The adoption of IoT systems in healthcare is revolutionising how medical data is collected, organised, and analysed. By combining IoT devices with big data analytics and advanced AI/ML algorithms, ...

In the context of rapid development in artificial intelligence and robotics, the gap between industry expectations for AI large models and their real-world applications has sparked widespread ...

For many years, Sree Hari Subhash has been a data engineer who has built and implemented artificial intelligence in many ...

Our understanding of the molecular pathogenesis of LAMA2 -related muscular dystrophy ( LAMA2 -MD) requires improving. Here, we report the phenotype, neuropathology, and transcriptomics data (scRNA-seq ...