ESET researchers discover PromptSpy, the first known Android malware to abuse generative AI in its execution flow ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

While it’s easier than ever to deploy automation, it’s much harder to ensure those early investments won’t hold a company back as it scales.

Matthew Connelly, a vice dean for AI initiatives at Columbia University, has been using machine learning for 15 years. But as more students have turned to generative AI over the past few years, he’s ...

At the India AI Impact Summit 2026, the AWS panel on AI adoption focused less on hype and more on execution. Leaders from Amazon Web Services (AWS) spoke about what it really takes to move India ...

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...

Mark Medum Bundegaard, Chief Product Officer at Partisia, is a technology and product leader specializing in privacy-enhancing technologies, blockchain architecture, and secure machine learning. He ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Enabling direct system coordination without centralized bottlenecks allows robots, conveyor systems and equipment to interpret data, make decisions and adapt together as an integrated manufacturing ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Abstract: Total electron content (TEC) is a key ionospheric parameter, but data gaps, especially over oceans, remain challenging due to sparse receiver coverage. Deep learning offers promising ...