CrowdStrike & NVIDIA’s open source AI gives enterprises the edge against machine-speed attacks

"This collaboration redefines security operations by enabling analysts to build and deploy specialized AI agents at scale, leveraging trusted, enterprise-grade security with Nemotron models," writes ...

How AI reshapes networks, checks frauds

At one of the world’s largest telcos, Randeep Singh Sekhon’s task is to ensure our daily digital lives run smoothly. Sekhon ...
C&EN

Predicting the Optical Properties of Gold Nanoclusters Using Machine Learning Approach

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The synthesis of gold nanoclusters (AuNC) is strongly influenced by various reaction ...
IEEE

Insider Threat Detection using Machine Learning Models for User Behavior Analysis

Abstract: Insider threats pose a serious threat to an organization's security in the current digital environment. The emergence of Bring Your Own Device (BYOD) and Cloud Computing has made the ...
C&EN

A Pipette-Tip-Based Point-of-Care Test Platform for Detection of MicroRNA at Subfemtomolar Concentrations Using Upconverting Nanoparticles on Microbeads

Institute for Biomedical Materials and Devices (IBMD), Faculty of Science, University of Technology Sydney, Sydney, NSW 2007, Australia ARC Centre of Excellence in Quantum Biotechnology (QUBIC), ...
GitHub

Pull requests: PreranaNimbalkar/SMS-Spam-Detection-with-Ensemble-Learning

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

Precision Brain Tumor Detection using Machine Learning

Abstract: Early Detection of brain tumors is essential not only for effective diagnosis but also for improving patient outcomes. This study introduces an automated brain tumor classification system ...