The most famous artificial intelligence researchers you should follow right now
AI is one of the most in-demand tech skills in 2021.
Artificial Intelligence (AI) is one of the most in-demand tech skills in 2021. The field is growing at a blistering pace. This trend is expected to continue in the years to come. So, there’s no better way to keep up with the latest industry trends, get insights from the best minds, and be future-proof than following these specialists!
Here are the most famous AI researchers you should follow right now:
Dr. Partha Talukdar
Dr. Talukdar has over 16 years of experience in machine learning and natural language processing. He holds a Ph.D. from the University of Pennsylvania and spent over six years at IISc. Dr. Talukdar is currently employed as a research scientist at the Google office in Bangalore. His most recent research focused on graph-based learning algorithms for large-scale data mining and integration, temporal information processing, automated knowledge gathering from big data, and neuro-semantics. He also created KENOME which helps companies make sense of unstructured dark data to democratize knowledge graphs.
Kai Fu Lee
Kai-Fu Lee, CEO of Sinovation Ventures and a well-known business personality in the Chinese tech scene, is highly recognized as an AI pioneer. Lee has worked with some of the most prestigious technology companies in the world, including Apple, Microsoft and Google. During the episode, Lee sparked a debate when he estimated that AI will displace 40% of global employment over the next 15 years or so. Lee is also the author of “AI Superpowers: China, Silicon Valley, and the New World Order”, which was recently published.
Yann LeCun is a French computer scientist who works on machine learning, mobile robotics, computer vision and computational neuroscience. At Facebook, he is Vice President and Chief AI Scientist. His work on convolutional neural networks (CNN) for computer vision is well known.
Ian J Good boy
Ian J. Goodfellow is a machine learning researcher at Apple Inc., where he is director of machine learning in the special projects group. He previously worked at Google Brain as a research scientist. He has contributed to the field of deep learning in several ways.
Many consider Geoffrey Hinton to be the “godfather” of deep learning. Hinton pioneered many fundamental deep learning strategies over his decades of career, including his seminal 1986 paper on backpropagation. Currently, Hinton splits his time between Google Brain and the University of Toronto.
Dr Urvashi Aneja
Dr Aneja holds a PhD from Oxford University and is the co-founder of Tandem Research in India. His current research examines the social effect of algorithmic decision-making (ADM) systems in India, as well as potential governance structures. She has also served on government committees on Frontier Technology in India and Skills for a Digital India, and led knowledge sessions on the use of AI in India for parliamentarians.
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