An expanded module on the Kubro(TM) platform, for an end-to-end, AI-assisted curation of content and production of ...

A handful of AI infrastructure startups are doing complex, rarely-seen work that makes it possible for the U.S. government to ...

Abstract: Atomic force microscopy (AFM) has emerged as a powerful tool for nanoscale imaging and quantitative characterization of organic (e.g., live cells, proteins ...

Continual learning is essential for medical image classification systems to adapt to dynamically evolving clinical environments. The integration of multimodal information can significantly enhance ...

Abstract: Electrocardiogram (ECG) is a critical non-invasive diagnostic tool for monitoring clinical cardiac conditions. Most research on ECG classification based on deep learning has made significant ...

More than 10,000 Docker Hub container images expose data that should be protected, including live credentials to production systems, CI/CD databases, or LLM model keys. The secrets impact a little ...

One of the most energetic conversations around AI has been what I’ll call “AI hype meets AI reality.” Tools such as Semush One and its Enterprise AIO tool came onto the market and offered something we ...

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...