Adversarial.js is an open-source JavaScript tool that lets you craft adversarial examples in your browser.
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence.
Creating machines that...
By Lena Jaschke
When was the last time you stepped completely out of your comfort zone and joined a department and position that are not...
GPUs face many challenges when running deep learning models in challenging environments. FPGAs can overcome many of these challenges.
Hackers can implant backdoors on deep neural networks without leaving a trace, researchers at the Germany-based CISPA Helmholtz Center for Information Security have found
This article is part of...
By Anton Altement
It's often said that a trader's worst enemy is himself. Behavioral biases tend to throw otherwise rational trading strategies out of whack...
The Adversarial ML Threat Matrix provides guidelines that help detect and prevent attacks on machine learning systems.
AI conferences are highly biased in favor of top-tier academic institutions, reputable researchers, and male contributors. research finds.
Nvidia's Maxine uses deep learning to improve the video conferencing experience. We took a look under the hood to see how it works.
By Quinn Agen
The pandemic has forced many businesses to temporarily close their locations. It specifically impacted the banking industry on a global scale. TSB,...