Artificial intelligence researchers are influencing their followers to be tech-savvy in 2022
Artificial intelligence researchers are thriving in the global tech market with their immense technical know-how and inspirational strategies. They dig into deep AI models and make their followers understand the clear concept of the current and predictions happening in the tech community. It is a very time-consuming process to be a professional AI researcher with all the basic and in-depth knowledge about cutting-edge technologies like AI and technologies related to it. The tech community looks up to these global artificial intelligence researchers to be updated with the current information and to evaluate the pros and cons of the technologies like AI models. Let’s explore some of the top ten artificial intelligence researchers making a revolution in 2022.
Top 10 artificial intelligence researchers to follow in 2022
1. Allie K. Miller
Top AI entrepreneur, advisor, and investor, she was the global head of machine learning business development for startups and venture capital for Amazon Web Services. She was also the youngest-ever woman to build an AI product at IBM—spearheading product development across computer vision, conversation, data, and regulation for thousands of companies. This eminent AI researcher has a deep background in artificial intelligence, machine learning, human-computer interaction, technology, cognitive science, statistics, product and user experience, product management, startups, angel investing, and venture capital, and goes on to make immense contributions to these fields.
2. Andrew Ng
Dr. Andrew Ng is one of the top artificial intelligence researchers and global leaders, and the Founder-CEOO of DeepLearning, and Landing AI. He is also the General Partner of AI Fund, Co-Founder of Coursera, and Adjunct Professor at Stanford University’s Computer Science Department. He was co-founder and head of Google Brain. This AI researcher was also the Chief Scientist at Baidu. He is known as a pioneer in Machine Learning and online education. Author and co-author of more than 200 research papers his goal is to utilize AI to transform people’s lives.
3. Bernard Marr
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, AI researcher, and strategic business and technology advisor to various governments and companies. He seeks to help organizations improve business performance, intelligent use of data in business, and understand the implications of new technologies such as AI models, big data, blockchains, and the Internet of Things. With that goal, he has worked with and advised many of the world’s best-known organizations in the global tech community.
4. Yann André LeCun
Yann André LeCun is a French computer scientist working primarily in the fields of Machine Learning, computer vision, mobile robotics, and computational neuroscience. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University, and Vice President-cum-Chief AI Scientist at Meta. He is widely known for his work on optical character recognition and computer vision using convolutional neural networks (CNN) and is a founding father of convolutional nets. He is also one of the main creators of the DjVu image compression technology (together with Léon Bottou and Patrick Haffner).
5. Tamara McCleary
Tamara McCleary is the CEO of Thulium, advisor and crew member of Proudly Human Off-World Projects, US as well as one of the top artificial intelligence researchers. Apart from creating and heading the social media analytics and consulting agency, Thilium, she is known for combining AI with Machine Learning. She has been named as the influencer woman in MarTech by B2B marketing and ranked by Klear in the top 1% of global leadership. As a leading technology futurist, she believes that AI will bring great social, political, and spiritual impact to the business world.
6. Andrej Karpathy
Andrej Karpathy was the Sr. Director of AI at Tesla, where he led the computer vision team of Tesla Autopilot. It included in-house data labeling, neural network training, the science of making it work, and deployment in production running on custom inference chips in the tech community. He was also a research scientist at OpenAI working on Deep Learning in Computer Vision, Generative Modeling, and Reinforcement Learning. At Stanford University he worked on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing, and their intersection.
7. Fei-Fei Li
Dr. Fei-Fei Li is the inaugural Sequoia Professor in the Computer Science Department at Stanford University, and the Co-Director of the Stanford Institute for human-centered Artificial Intelligence. A former Vice President at Google she also served as the Chief Scientist in AI/ML at Google Cloud. Dr. Li now works on cognitively inspired AI and AI in healthcare with a focus on ambient intelligence systems. ImageNet, invented by Dr. Li, offers a massive dataset and is hailed for expanding the latest frontiers of AI. She is the co-founder of AI4ALL which works for diversity and inclusion in AI education with AI models.
8. Demis Hassabis
Demis Hassabis was co-founder of DeepMind, an AI company inspired by neuroscience. He is now the Vice President of Engineering at Google DeepMind. He leads all the general AI efforts at Google. He worked in the field of autobiographical memory and amnesia, where he was the co-author of a number of papers that were influential in the field. His work on the episodic memory system relates to memory and imagination.
9. Rana el Kaliouby
Rana el Kaliouby is the founder and CEO of Affectiva. Affectiva is a pioneer in the field of Emotion AI. He aims to integrate emotional intelligence into the digital experiences of users everywhere. She is the head of the emotions analytics team which has developed emotion-sensing algorithms. As an undisputed AI leader in the domain, it now works with 25% of the Fortune 500 companies. Her goal is to utilize artificial emotional intelligence for humanizing technology.
10. Cassie Kozyrkov
Cassie Kozyrkov is the Chief Decision Scientist at Google and the Creator of the Making Friends with Machine Learning series. Her stated mission is to democratize Decision Intelligence and safe, reliable AI. She is engaged in bringing out a “unique combination” of deep technical expertise, world-class public-speaking skills, analytics management experience, and the ability to lead organizational change. She guided me on more than 100 projects and designed Google’s analytics program.
Source: analyticsinsight.net
