Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...

The National Institute of Standards and Technology (NIST) has published its final report on adversarial machine learning (AML), offering a comprehensive taxonomy and shared terminology to help ...

As generative artificial intelligence is incorporated into medical device technologies, there are undoubtedly going to be questions. What are the safety measures that should be enacted? Are there any ...

This course offers an in-depth exploration of Generative AI, focusing on genAI fundamentals, practical implementations, and cutting-edge advancements in the field. Students will delve into key topics ...

Artificial Intelligence (AI) has become an integral part of modern technology, transforming various industries by simulating human intelligence through computers. This guide delves into the world of ...

In a landmark move, the US National Institute of Standards and Technology (NIST) has taken a new step in developing strategies to fight against cyber-threats that target AI-powered chatbots and ...

Harshith Kumar Pedarla explores using GANs to simulate network attacks. Synthetic data augmentation improves detection scores ...

In the last several years, large language models (LLMs) like ChatGPT and Bard have shown the world the astounding power of generative AI for language creation tools. However, some of the most exciting ...

It’s no surprise that educators have an uneasy relationship with generative AI. They fear the impact of plagiarism and machine-generated essays and the “hallucinations” — where the system confidently ...

Only 25% of healthcare organizations have deployed generative AI solutions, but that is expected to more than double next year as executives see opportunities to automate clinical documentation and ...