To safeguard enterprise data in hybrid cloud environments, organizations need to apply basic data security techniques such as ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

It’s exactly this bottleneck that applied machine learning and AI expert Manjunatha Jagalur is working to solve. As a senior engineer at Additive AI, he’s ...

Soujanya Reddy Annapareddy earned a 2025 Global Recognition Award for an edge AI framework that delivers real-time fault ...

“In the best-case scenario, when you adopt these new techniques, even on the same old data, it’s kind of like putting on ...

The AWS Machine Learning Exam Simulator helps you assess your readiness by replicating the timing and structure of the official certification. Every question in the Machine Learning Associate ...

Mohini V of Remfry & Sagar outlines how Indian courts and policymakers are shaping trade secret protection through case law, ...

The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...

As demand grows for comprehensive geospatial intelligence, across sectors from agriculture and forestry to infrastructure ...

Are You Managing Your Non-Human Identities Effectively? Managing machine identities, often termed Non-Human Identities (NHIs), is an essential aspect of organizational cybersecurity. Yet, are security ...

Disturbance of Consciousness, Neuromodulation Techniques, Deep Brain Stimulation, Electrical Stimulation of the Vagus Nerve ...

At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud to make a decision to execute back at the system is simply impractical.