Que.com on MSN

AI in cybersecurity: Key benefits, risks and solutions

In today’s digital landscape, cyber threats are evolving at an unprecedented pace. Traditional security measures struggle to ...
Morning Overview on MSN

AI uses virtual sunspots to find rare magnetic events in solar data

Solar flares strong enough to knock out satellites and buckle power grids are, by definition, rare. That rarity is exactly ...

From LLMs to hallucinations, here’s a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
IEEE

Analyzing the Impact of Adversarial Examples on Explainable Machine Learning

Abstract: Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies inputs to cause the model to make incorrect predictions. Adversarial attacks can ...
SecurityWeekOpinion

Can We Trust AI? No – But Eventually We Must

AI can’t be fully trusted, yet businesses depend on it. Explore the risks of bias, hallucinations, and adversarial ...
IEEE

Poltergeist: Acoustic Adversarial Machine Learning against Cameras and Computer Vision

Abstract: Autonomous vehicles increasingly exploit computer-vision-based object detection systems to perceive environments and make critical driving decisions. To increase the quality of images, image ...
Santa Clara University

HPC Machine Learning Tutorial

This tutorial is an adaptation of the NumPy Tutorial from Tensorflow.org. To run this tutorial, I assume you already have access to the WAVE HPC with a user account and the ability to open a terminal ...