AI Leaders and Researchers you need to know

AI leaders

Deep studying continues to provide superior strategies with widespread purposes quicker than one can sustain with. Dozens of papers get uploaded to arXiv day-after-day, and there are a whole lot of scientists and engineers lively within the subject. To remain within the loop, we’ve put collectively an inventory of 12 innovators and researchers within the subject that you may observe to know the progress introduced by the self-discipline to science, business and society. The checklist consists of hyperlinks to the web site, LinkedIn, Twitter account, Fb profile and Google Scholar Profile of the AI Leaders so that you can observe.  

1. Andrew Ng

Founder and CEO of Touchdown AI, Founding father of 

Web site:, Twitter: @AndrewYNg, Fb: Andrew Ng, Google Scholar. 

Andrew was a co-founder and head of Google Mind. He was additionally the Chief Scientist at Baidu and led the corporate’s AI group. He’s a pioneer in on-line training as a co-founder of and Coursera – the world’s largest MOOC platform, which began off with greater than 100,000 college students enrolling for his common courseCS229A. Dr Ng has touched numerous lives via his work as a pc scientist who led to him being named as one in every of Time journal’s 100 most influential individuals in 2012.  

Dr Ng’s analysis is principally in fields comparable to Machine studying, deep studying, pc imaginative and prescient, machine notion and pure language processing. His papers which incessantly gained one of the best paper award at tutorial conferences, finally made him vastly common and influential amongst pc scientists and had a large affect within the subject of AI, robotics and pc imaginative and prescient. 

A few of his most well-known work as one of many prime AI Leaders consists of his Autonomous Helicopter Undertaking at Stanford and the Stanford Synthetic Intelligence Robotic challenge, which ended up producing an open-source robotics software program platform that’s broadly used as we speak. The Google mind challenge, which he based in 2011, used synthetic neural networks that have been skilled utilizing deep studying. The distributed pc with 16,000 CPU cores learnt learn how to acknowledge catches from watching YouTube movies and never being taught what a cat actually is. The expertise which comes from the challenge remains to be used within the speech recognition system of Android Working Techniques. 

2. Fei-Fei Li

Sequoia Professor of Pc Science Stanford College

Stanford Profile, Twitter: @drfeifei, Google Scholar. 

Dr Fei-Fei Li is the inaugural Sequoia Professor within the Pc Science Division at Stanford College. She can also be the Co-Director of the Stanford Institute for human-centered Synthetic Intelligence and a Co-Director of the Stanford Imaginative and prescient and Studying Lab. She was the Vice President at Google from Jan 2017 to September 2018 and served because the Chief Scientist in Synthetic Intelligence/ Machine Studying at Google Cloud. 

Dr Li at present works in areas comparable to cognitively impressed AI, deep studying, machine studying, pc imaginative and prescient and Synthetic Intelligence in healthcare that focuses on ambient intelligence techniques. She has revealed greater than 200 scientific articles in all the foremost journals and conferences and has additionally labored on cognitive and computational neuroscience prior to now. ImageNet, an invention of Dr Li, is a crucial large dataset and benchmarking drive accountable for increasing the newest frontiers of Synthetic Intelligence and deep studying. 

Alongside together with her technical contributions to the sphere, she can also be a number one voice on the nationwide stage for advocating for range in AI and STEM. Dr Li is the chairperson and co-founder of AI4ALL, which is a non-profit targeted on range and inclusion in AI training. She has acquired quite a few awards and recognition for her work, together with the ELLE Journal’s 2017 Girls in Tech, a World Thinker of 2015 by International Coverage and the celebrated “Nice Immigrants: The Delight of America” by Carnegie Basis in 2016. 

three. Andrej Karpathy 

Senior Director of Synthetic Intelligence at Tesla

Web site:, Twitter: @karpathy, Google Scholar. 

Andrej Karpathy leads the group engaged on the neural networks of the Autopilot in Tesla’s automobiles. He labored beforehand at OpenAI as a analysis scientist on Deep Studying in Pc imaginative and prescient, Reinforcement Studying and Generative Modeling. Andrej labored with Fei-Fei Li for his PhD at Stanford, the place he labored on Convolutional/Recurrent Neural Community architectures and their purposes in Pure Language Processing and Pc Imaginative and prescient and their intersection. He additionally interned at Google engaged on giant scale function studying over YouTube movies. Andrej was the first teacher on the Stanford class on Convolutional Neural Networks for Visible Recognition (CS231n), which he designed along with Fei-Fei. The Deep Studying Course was an enormous success, with the variety of college students enrolled at 150 in 2015 to 750 in 2017. 

Andrej is lively on social media, with 352.4K followers on Twitter. He’s an enthusiastic blogger and is the developer of Deep Studying libraries in javascript. He additionally spends his spare time sustaining Arxiv, which is residence to over 100,000 papers on machine studying collected during the last six years. 

four. Demis Hassabis 

Co-founder and CEO of Deep Thoughts 

Web site:, Twitter: @demishassabis, Google Scholar. 

Demis Hassabis co-founded DeepMind, which is an Synthetic Intelligence firm impressed by neuroscience. Deep Thoughts was purchased by Google in 2014 of their largest acquisition in Europe so far. Demis is now the Vice President of Engineering at Google DeepMind. He’s the lead of all the final Synthetic Intelligence efforts at Google and even this system AlphaGo which was the primary ever to beat knowledgeable on the sport of Go. Deep Thoughts has contributed considerably to developments in machine studying and produced a number of awards profitable papers. 

As a former chess prodigy, Demis had an early begin within the gaming business by ending the simulation sport Theme Park on the age of 17. He graduated from Cambridge College in Pc Science and based Elixir Studios, a pioneering video video games firm that produced award-winning video games. He returned to academia for a PhD after a decade of main profitable expertise startups. He accomplished his PhD in Cognitive neuroscience at College Faculty London and post-doctorates at MIT and Harvard. 

Demis, as one of many prime AI Leaders, labored within the subject of autobiographical reminiscence and amnesia, the place he was the co-author of quite a lot of papers that have been influential within the subject. His work on the episodic reminiscence system, which pertains to reminiscence and creativeness, acquired widespread protection within the media. It was additionally listed as one of many prime 10 breakthroughs of the 12 months by the journal Science. 

5. Ian Goodfellow 

Director of Machine Studying at Apple

Web site:, Twitter: @goodfellow_ian, Google Scholar. 

Ian is understood within the subject as a researcher in machine studying. He at present works for Apple because the director of machine studying. He was previously a analysis scientist at Google mind and has made quite a lot of contributions to the sphere of deep studying. 

Ian acquired his B.S. and M.S. in pc science from Stanford College, the place he was underneath the supervision of Andrew Ng. He earned his PhD within the April of 2014 from the Université de Montréal, the place he was underneath the supervision of Yoshua Bengio and Aaron Courville. After graduating, Ian joined Google, the place he labored as a part of the analysis group of Google mind. He then give up Google to hitch Open Ai, which was then nonetheless a brand new institute. In 2017 Ian returned to Google Analysis. 

Ian is the lead creator of the textbook Deep studying and is most identified for the generative adversarial networks that he invented. As a part of his work at Google, he developed a system to allow computerized transcription of addresses from pictures taken by Road View automobiles in Google Maps. He additionally demonstrated vulnerabilities in machine studying techniques. The MIT Expertise Assessment cited Ian Goodfellow as one of many 35 Innovators Underneath 35 in 2017. He was additionally listed as one of many 100 World Thinkers by International Coverage in 2019. 

6. Yann LeCun

Chief AI Scientist at Fb

Web site:, Twitter: @ylecun, Google Scholar. 

Yann LeCun is a pc scientist primarily identified for his work within the subject of machine studying, cellular robotics, pc imaginative and prescient, and computational neuroscience. A few of his extra common contributions are in optical character recognition and pc imaginative and prescient that makes use of convolutional neural networks. He’s the founding father of convolutional nets and one of many main creators of DjVu, a picture compression expertise. Yann LeCun acquired the Turing Award in 2018 together with Yoshua Bengio and Geoffrey Hinton for his or her contribution to Deep Studying. 

A few of LeCun’s well-known works embrace his machine studying strategies. His Convolutional Neural Networks was a biologically impressed picture recognition methodology which he utilized to optical character recognition and handwriting recognition. Out of his work got here the financial institution examine recognition system that was utilized by NCR and different firms via which 10% of all checks in the US handed within the later 1990s and early 2000s.  

LeCun joined AT&T Labs in 1996 as the pinnacle of the picture processing analysis division. He labored totally on the DjVu picture compression expertise, which might finally be utilized by many web sites to distribute scanned paperwork, with the Web Archive being probably the most notable website. 

In 2012 LeCun turned the founding director of the NYU Heart for Knowledge Science, and in 2013 he joined Fb as the primary director of AI analysis.

7. Jeremy Howard

Founding Researcher at

Web site:, Twitter: @jeremyphoward

 Jeremy Howard is an entrepreneur, developer, enterprise strategist and educator. He’s effectively often called the founding researcher at and a Distinguished Analysis Scientist on the College of San Francisco.  He was beforehand the founder and CEO of Enlitic, the primary firm to use deep studying to the sphere of drugs. Its success made it to MIT Tech Assessment’s world’s prime 50 smartest firms for 2 years in a row. 

Jeremy’s profession began as a administration marketing consultant at McKinsey & Firm, the place he remained for eight years earlier than transferring on to entrepreneurship. He then turned the co-founder of FastMail in 1999, which was bought to Opera Software program. FastMail, which was extremely profitable in Australia, was the primary of its sort to permit customers to combine their identified desktop purchasers. Later, he joined the net neighborhood of information scientists Kaggle as President and Chief Scientist. The corporate, which he co-founded with Rachael Thomas, is a analysis institute that’s targeted on making Deep Studying extra accessible to everybody. 

Howard’s firm Enlitic was a pioneer within the subject of drugs, the place it made a medical prognosis and improved course of accuracy and pace by making use of machine studying. The deep studying algorithms utilized by Enlitic can diagnose illness and sicknesses, and Howard believes they are often pretty much as good and even outperform people on the activity. Jeremy seems recurrently on Australia’s information packages and has created quite a few tutorials on information science and net growth. 

eight. Ruslan Salakhutdino

Affiliate Professor, Carnegie Mellon College 

Web site:, Twitter: @rsalakhu 

Ruslan Salakhutdinov is a Pc Science professor within the Machine Studying Division at Carnegie Mellon College and has beforehand held the place of the Director of AI Analysis at Apple. He specializes within the subject of statistical machine studying, and his analysis pursuits embrace deep studying, probabilistic Graphical Fashions and Giant-scale optimization, wherein he has revealed papers. 

Salakhutdinov earned his PhD in machine studying from the College of Toronto in 2009. He spent two years on his postdoctoral on the Synthetic Intelligence Lab at Massachusetts Institute of Expertise, after which he joined the College of Toronto’s Division of Pc Science and Division of Statistics as an assistant professor.  He has acquired quite a few awards such because the Connaught New Researcher Award, Early Researcher Award, Microsoft Analysis College Fellowship, Alfred P. Sloan Analysis Fellowship, Google College Analysis Award and Fellow of the Canadian Institute for Superior Analysis.  

9. Geoffrey Hinton 

Pc Science Professor at College of Toronto

Web site:, Twitter: @geoffreyhinton, Google Scholar. 

Geoffrey Hinton is likely one of the most well-known AI Leaders on the earth, along with his work specializing in machine studying, Neural networks, Synthetic intelligence, Cognitive science and Object recognition. Hinton is a cognitive psychologist and a pc scientist who’s most identified for his work on synthetic neural networks. As a number one determine within the deep studying neighborhood, Hinton has divided his time working for Google Mind and the College of Toronto since 2013. AlexNet-an picture recognition milestone which was designed with collaboration along with his college students, was a breakthrough within the subject of pc imaginative and prescient. In 2018 Hinton acquired the Turing award together with Yann LeCun and Yoshua Bengio for his or her work on deep studying. The journey is also known as the “Godfathers of Deep Studying” or the “Godfathers of AI”. 

Hinton’s work seems to be into other ways neural networks can be utilized for machine studying, image processing and reminiscence notion. He has over 200 friends reviewed publications that he has authored or co-authored. What distinguishes his work on synthetic neural nets internationally is now they’ll study by themselves and not using a human trainer. The analysis provides one of many first glimpses into brain-like buildings which might be actually autonomous and clever. By his work, Hinton has discovered similarities between damaged nets and mind harm which results in lack of names and characterization.  His work additionally examines psychological imagery and developing with puzzles that check inventive intelligence and originality. 

Hinton acquired his Honorary Doctorate from the College of Edinburgh in 2001, and he was additionally the recipient of the IJCAI Award for Analysis Excellence lifetime-achievement award in 2005. 

10. Alex Smola 

Director, Amazon Internet Providers

Web site:, Twitter: @smolix, Google Scholar. 

Alex Smola has been the director for machine studying at Amazon Internet Providers since 2016. His work focuses on machine studying, statistical information evaluation, pc imaginative and prescient, deep studying and NLP to design instruments for information scientists.  Alex is an creator for over 200 papers, edited 5 books and guided many PhD college students and researchers. His main pursuits are in deep studying, scalability of algorithms, statistical modeling and purposes in doc evaluation, consumer modeling and lots of extra. 

Alex acquired his grasp’s diploma on the College of Expertise, Munich, in 1996. He earned his doctoral diploma on the College of Expertise Berlin in pc science in 1998. He labored subsequently as a researcher on the IDA Group and the Australian Nationwide College’s Analysis Faculty for Data Sciences and Engineering. He has additionally labored with tech giants comparable to Yahoo and Google as a researcher and taught at Carnegie Mellon College. In 2015 Alex co-founded the Marianas Labs and moved to Amazon Internet Providers in 2016 to construct Synthetic Intelligence and Machine Studying instruments for the corporate. 

Alex is at all times looking out for gifted interns and group members who’re expert at writing code, working with deep studying, writing environment friendly algorithms and are conversant in high-performance pc techniques. 

11. Rana el Kaliouby 

CEO and Co-Founding father of Affectiva 

Web site: system/rana_el_kaliouby , Twitter: @kaliouby, Google Scholar. 

Rana el Kaliouby is a pioneer in synthetic intelligence and the founder and CEO of Affectiva. Her firm which is the spinoff of an MIT media lab goals to combine emotional intelligence into the digital experiences of customers in all places. She is the pinnacle of the feelings analytics group which have labored to develop emotion-sensing algorithms. They’ve additionally mined the most important database on the earth on feelings and have put collectively 12 billion information factors from movies of two.9 million volunteers unfold throughout 75 international locations. The platform is utilized by many main firms all over the world to get metrics on client engagement. They’re pioneering digital apps which might be emotion-based for leisure, enterprise, video communication and on-line training. 

Rana earned her PhD from Cambridge College, after which she joined as a analysis scientist at MIT media labs. She was instrumental within the utility of emotion recognition expertise in quite a lot of completely different fields, together with psychological well being. She give up MIT to co-found Affectiva, which is a pioneer within the subject of Emotion AI. As a frontrunner within the area, it now works with 25% of the Fortune 500 firms. 

Forbes named Rana of their checklist of America’s Prime 50 Girls in Tech whereas she was included within the checklist of 40 underneath 40 by Fortune. Rana speaks incessantly on the subject of ethics in Synthetic intelligence and overcoming biases. Her mission is to combine synthetic emotional intelligence to ‘humanize expertise’ and develop deep studying platforms for numerous points of feelings comparable to facial expressions and tone of voice to grasp how customers are feeling. 

12. Daphne Koller 

Co-Founding father of Coursera, Founder and CEO of insitro. 

Web site:, Twitter: @DaphneKoller, Google Scholar. 

Daphne is a pc scientist and a professor within the Division of Pc Science at Stanford College. She is most popularly often called the co-founder of Coursers, the world’s largest MOOC platform. Her main analysis space is synthetic intelligence and its utility in biomedical sciences. Her work focuses on ideas comparable to choice making, inference studying and illustration in purposes pertaining to pc imaginative and prescient and computational biology. 

Daphne launched Corusera along with Andrew Ng in 2012, wherein she served as co-CEO together with Ng. She then took up a task as President of Coursera and was acknowledged as Time journal’s 100 most influential individuals in 2012. In 2014 she was additionally on the Quick Firm’s Most Inventive Folks 2014. In 2016 she left Coursera to grow to be the chief computing officer at Calico. She later moved on in 2018 to start out Insitro, which is a drug discovery startup. In 2009 she co-authored a textbook on probabilistic graphical fashions. She later provided the topic as a free on-line course in February of 2012.  


Whereas this checklist doesn’t embody the super contributions of different giants within the subject, it’s sorted on the idea of the Twitter followers these leaders have on-line. With that mentioned, there’s a lot depth to be explored within the contributions of those 12 AI leaders, who additionally occur to have loads of overlap of their analysis, work and interactions. 

Take up the PGP – Synthetic Intelligence for Leaders Course by Nice Studying and energy forward your profession as we speak. Study from one of the best within the business via Stay On-line Courses.



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