Artificial Intelligence is the new normal which is rapidly advancing the technology sector and has significantly impacted key aspects of the business. In this article, we list down AI’s power players who are also the thought leaders in the area of machine learning, deep learning, computer vision, robotics and have a massive following. They are industry experts, product innovators and researchers who bring the latest insights and AI trends to their followers.
Andrej Karpathy
Karpathy is the Director of AI at Tesla and has worked as a Research Scientist at OpenAI. His courses are immensely popular and he is one of the most followed AI pioneers online as well as offline.
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Demis Hassabis
Hassabis is the founder and CEO at DeepMindAI. He completed his PhD in cognitive neuroscience from the University College London. His doctoral studies are focused on the field of autobiographical memory and amnesia. He has co-authored papers on this subject which were published in Nature, Science, Neuron, and Proceedings of the National Academy of Sciences (PNAS). His work on the neurological connection between imagination and episodic memory was cited as one of the “Top 10 Scientific Breakthroughs of the Year”.
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Alex Champandard
Alex is an AI expert, and his field of expertise is as vast as the domain itself. His interests consist primarily of deep learning research. He has also co-founded CreativeAI. He oversees the widely popular nucl.ai conferences which brings together some of the brightest AI minds across the world to discuss the latest happenings in the field.
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Soumith Chintala
Well known for creating PyTorch and co-authoring WGAN and DCGAN research papers, Soumith works at Facebook AI research and his research projects range from pedestrian detection, sentiment analysis to digit classification.
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Hugo Larochelle
Hugo is a Google Brain researcher and a machine learning professor whose retweets help the followers to access the state-of-the-art research material.
His publications include topics like brain tumour segmentation with deep neural networks, deep learning with nanophotonic circuits among many others.
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Sander Dieleman
Sander is a Research Scientist at DeepMind. His research was about learning hierarchical representations of musical audio signals for classification and recommendation, with a focus on deep learning and feature learning. His tweets frequently about new researches, research papers and other developments in the new tech areas.
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Kate Crawford
Kate is a Principal Researcher and Co-founder of AI Institute at NYU.
Her works have been published in highly reputed journals like Nature and her recent publications address the impacts of AI on society, data bias and fairness, predictive analytics and due process, and algorithmic accountability and transparency.
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Dr GP Pulipaka
Dr Pulipaka is a Chief Data Scientist and his book ‘The Future Of Data Science’ is listed as one of the top books in this domain. In his tweets, he primarily focuses on the core concepts behind machine learning models and also about the latest discoveries in this field.
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