Love AI? Here's the Top 10 People To Follow

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Everyone is talking about AI. AI might even be talking about AI. But it's the prime time to discover the humans that know AI better than it knows itself. 

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So, we've got an all-star crew for you to take a peep at. I mean, these guys are better to ask than AI itself. When we asked it to comment on AI writing about AI, it said:

AI writing about AI is like a dog chasing its tail – it never ends but it is still pretty funny to watch!

 
Okay, that's actually pretty good. Right, let's jump in. In no particular order, they're all legends. So, we're starting with:
 
 

Number One: Andrew Ng (@AndrewYNg)

 
Andrew is an AI thought leader and the founder of Landing AI. His tweets are insightful and educational, making him a must-follow for those looking to stay up-to-date on the latest trends in AI.
 
Andrew was a cofounder and head of Google Brain, and the Chief Scientist at Baidu. He has also written a book described as a guide for those interested in ML, called Machine Learning Yearning. The sequel AI Transformation Playbook followed in December 2018. 
 
He believes the potential benefits of AI outweigh the issues, stating:
 

"Worrying about AI evil superintelligence today is like worrying about overpopulation on the planet Mars. We haven't even landed on the planet yet!"

 

Number Two: Fei Fei Li (@drfeifei)

 
Fei Fei is a computer science professor at Stanford and the director of the Stanford Artificial Intelligence Lab. She’s an incredible advocate for AI research and her tweets are full of interesting facts about AI applications.
 
Fei Fei's research has extended into AI and healthcare, in collaboration with Stanford Medical School proff Arnold Milstein. 
 
She has also worked on improving AI bias, in image recognition in particular, through removing issues of low imageability from ImageNet. 
 
 

Number Three: Yann LeCun (@ylecun)

 
Yann is a computer scientist, best known for his work on deep learning systems at Facebook and NYU. He frequently tweets about the latest breakthroughs in artificial intelligence and his opinions are always worth a read. 
 
He received the 2018 Turing Award together with Yoshua Bengio (more on him later) and Geoffrey Hinton. Thanks to their work on deep learning, the three are often referred to as the "Godfathers of AI".
 
 

Number Four: Reem Alattas (@realDrReem)

 
Reem Alattas is a computer science professor at Zayed University and an expert in machine learning, natural language processing, and robotics.
 
Her current research focuses on developing Explainable Artificial Intelligence (XAI) technologies to enable transparency and accountability when it comes to AI decision-making processes. Follow her for insights and updates on her research!
 
 

Number Five: Gary Marcus (@GaryMarcus)

 

Gary is a cognitive scientist and the founder of Geometric Intelligence, a machine-learning startup that was recently acquired by Uber. His tweets touch upon many interesting topics related to AI, such as its applications in robotics and natural language processing. 

He is known for criticising the use of massive amounts of data to build AI systems, arguing:

"If we are to build artificial general intelligence, we are going to need to learn something from humans, how they reason and understand the physical world, and how they represent and acquire language and complex concepts."

 

Number Six: Satya Nadella (@satyanadella)

 
Satya is the CEO of Microsoft and an outspoken advocate for the use of AI in business. He’s a great source to follow if you want to stay current on industry news related to AI and its applications. 
 
In 2019, he was named Financial Times' Person of the Year, and Fortune Magazine's Businessperson of the year. 
 
Satya has also written a book called Hit Refresh, which explores his life and career at Microsoft, and how he believes technology will shape the future. He has also revealed that the book's profits will go to Microsoft Philanthropies and then to nonprofit organisations. 
 
 


Number Seven: Stuart Russell (Linkedin: stuartjonathanrussell)

 
Stuart is a professor of computer science at UC Berkeley and one of the leading minds in artificial intelligence research. His tweets offer insight into the potential implications of AI technology, as well as thoughtful reflections on its impact on society. 

He is also the co-author of the most popular textbook in the field of AI Artificial Intelligence: A Modern Approach, alongside Peter Norvig. The work is used in more than 1,500 universities in 135 countries. 
 
 
 

Number Eight: Demis Hassabis (@demishassabis)

 
Demis is the co-founder and CEO of DeepMind, a deep-learning startup acquired by Google in 2014. His tweets focus largely on the progress of his company and its research into AI. 

DeppMind has been responsible for advancements in machine learning, through producing a number of ground-breaking papers. The company has made advances in deep learning and reinforcement learning. It has also pioneered the field of deep reinforcement learning, which combines these two methods.
 


Number Nine: Yoshua Bengio (Linkedin: yoshuabengio)

 
Yoshua is a computer scientist at the University of Montreal and one of the pioneers in deep learning systems. He’s an incredible resource for anyone looking to learn more about AI, as his tweets are often full of fascinating insights and explanations. 
 
Yoshua also received the 2018 Turing Award alongside Yann LeCun and Geoffrey Hinton. 
 


Number Ten: Joanna Bryson (@j2bryson)

 
Joanna is a computer scientist specializing in artificial intelligence ethics. Her tweets focus on understanding how our ethical values can be applied to AI development and applications, making her an essential follow if you want to stay up-to-date with conversations about responsible machine learning systems.  

 
She has also published an article for Wired Magazine titled "One Day, AI Will Seem as Human as Anyone. What Then?". The piece analyses the current limits of and future of AI, how the general public define and think about AI, and how AI interacts with people via language. It also looks into the topics of natural language processing, ethics, and human-computer interaction, as well as the recent EU AI Act.