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11 AI experts to follow on Twitter

#artificialintelligence

More companies are buying into the hype of artificial intelligence every day, though reaping the rewards can be a tricky game. After all, it is more often than not that the practical, not the sexy, AI application boosts a company's bottom-line. Balancing the influx of new information, from apocalyptic musings on the future of the technology to highly technical research reports -- incomprehensible to this writer and many of the most eager computer scientists -- is a challenge, but that's a problem Twitter can actually help with. Position: Co-founder at Coursera; adjunct professor at Stanford University; board of directors at drive.ai; chairman of the board at Woebot Ng is a staple in the AI sphere and helped build up some of the most prominent AI insititutions today, such as Google Brain and Baidu. He is also a driving force in AI education, and through his online learning program Coursera, Ng is trying to teach millions of new AI experts.


Top 25 AI Influencers to Follow on Twitter by 2019

#artificialintelligence

With Artificial Intelligence playing a central role in the era of digital transformation, sharing information and knowledge about the advancements and the opportunities brought by AI is becoming crucial. The influencers presented in this list are actively sharing information and knowledge about AI and disruptive technologies. They are the co-founders of AI ventures, machine learning professors, data scientists, and tech and digital transformation leaders. We want to thank the influencers who took part as evaluation committee members in the TOP 25 Initiative 2018, including Spiros Margaris, Alvin Foo, and Vinod Sharma, and we can officially announce that applications are open to join the evaluation committee of the TOP 25 Initiative 2019. My new book #ArchitectsofIntelligence reveals the truth about #AI from the people building it.


AI Influencers 2017: Top 30 people in AI you should follow on Twitter - IBM Watson

#artificialintelligence

Artificial intelligence has been a dream in technology ever since Alan Turing first wrote his seminal paper, Computing Machinery and Intelligence, Now, thanks to advances in hardware power and algorithm design, AI is a growth industry – and it has no shortage of vocal advocates. These are some of the most vocal and influential leaders working on artificial intelligence, robotics, chat bots, virtual reality, the ethics of autonomous software and vehicles and more. Organizes the London AI meet up and the annual Research and Applied AI Summit. Thanks to all who kicked off discussion on the back of my piece on "6 areas of #AI/ML to watch closely" Keep going! She has expertise in designing intelligent systems into working AI systems to help understand natural intelligence.


50 Most Popular AI-influencers of North America

#artificialintelligence

It has been more than six decades since the concept of Artificial Intelligence has transformed from imagination to an academic discipline. Influencers, especially those active on social media help give direction to the policymakers and academicians. They keep common men updated on the trends and'what is what' in AI, Machine Learning and associated concepts like Big Data and BlockChain. AiThority introduces you to the 50 most popular AI-influencers of North America. A PhD in industrial-organizational psychology, his interests lies in Data Science, CX, Statistics and Machine Learning.


50 Most Popular AI-influencers of North America

#artificialintelligence

It has been more than six decades since the concept of Artificial Intelligence has transformed from imagination to an academic discipline. Influencers, especially those active on social media help give direction to the policymakers and academicians. They keep common men updated on the trends and'what is what' in AI, Machine Learning and associated concepts like Big Data and BlockChain. AiThority introduces you to the 50 most popular AI-influencers of North America. A PhD in industrial-organizational psychology, his interests lies in Data Science, CX, Statistics and Machine Learning.