Ian Goodfellow
Ian Goodfellow, particularly renowned for his invention of generative adversarial networks (GANs) in 2014, which led to the development of most of what we know about generative AI, is currently a research scientist at DeepMind. Before joining DeepMind, Goodfellow worked at Google, where he led a team that developed a convolutional neural network to automatically transcribe building addresses from street view images, achieving human-like accuracy. He also conducted critical research on adversarial attacks, demonstrating how AI systems can be tricked into misidentifying objects with slight manipulations, and proposed methods to mitigate these vulnerabilities. Goodfellow served as the director of machine learning at Apple from 2019, further advancing AI capabilities in industry applications. Goodfellow’s PhD in machine learning from the University of Montreal, supervised by Yoshua Bengio, laid the foundation for his groundbreaking research.
Research Scientist at DeepMind
Find out why Ian Goodfellow, Research Scientist at DeepMind is in the AIM 100 list as top AI innovators.
["DeepMind AI"]
["Go", "machine learning", "programming_languages:R", "AI", "neural network", "programming_languages:Go", "generative AI", "GAN", "DeepMind AI", "R", "adversarial attacks"]
["AI", "machine learning", "neural network", "generative AI", "R", "Go", "GAN", "adversarial attacks", "programming_languages:R", "programming_languages:Go"]