35 episodes

“Leaders In AI” shares cutting-edge AI trends and inspiring business insights from renowned scientists, entrepreneurs, and investors. It is produced by Robin.ly, a content platform and community empowering the next generation of AI leaders and entrepreneurs.

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Leaders In AI Robin.ly

    • Technology

“Leaders In AI” shares cutting-edge AI trends and inspiring business insights from renowned scientists, entrepreneurs, and investors. It is produced by Robin.ly, a content platform and community empowering the next generation of AI leaders and entrepreneurs.

View full video interviews and scripts: www.robin.ly
Twitter: JoinRobinly
LinkedIn: Robinly
WeChat: Robinly

    It's All About Real-world Use Cases: Rob Toews, Investor @ Highland Capital Partners

    It's All About Real-world Use Cases: Rob Toews, Investor @ Highland Capital Partners

    This episode is a live recording of our interview with Rob Toews. He shared inspiring thoughts on deep learning applications' impact on AI commercialization. Additionally, he talked about investing in the future of AI and current industry trends. Visit Robin.ly to view the video: http://bit.ly/2TzV9su

    Rob Toews is a venture capitalist at Highland Capital Partners. The company's HQ is in Boston, MA. However, they have been in the Bay Area for more than 20 years and invests in 6 to 8 companies a year. Also, Toews writes about AI in his column on Forbes.

    • 23 min
    Defining data privacy is the key for privacy research - Liwei Wang @Peking University [NeurIPS 2019]

    Defining data privacy is the key for privacy research - Liwei Wang @Peking University [NeurIPS 2019]

    Liwei Wang is a professor in the Department of Computer Science and Technology, School of EECS at Peking University. In this episode, Professor Wang highlighted his research papers accepted at NeurIPS 2019, shared his perspectives on data privacy, and the differences in the trends and challenges of AI research between China and the US. Learn more at Robin.ly: http://bit.ly/2wzlCgu

    Prof. Wang’s main research interest is machine learning theory and has published more than 100 papers on top conferences including NeurIPS. He was the first Asian researcher who was named among “AI’s 10 to Watch”. He served as the Area Chair of NeurIPS and the Associate Editor of PAMI.

    • 13 min
    How AI can help save newborn lives? Charles Onu, Machine Learning Researcher @ Mila & Mcgill

    How AI can help save newborn lives? Charles Onu, Machine Learning Researcher @ Mila & Mcgill

    Charles Onu is a PhD student and Machine Learning Researcher at Mila (the Quebec Artificial Intelligence Institute) and the Reasoning and Learning Lab (RL Lab) at McGill University. He is also a Co-Founder and AI Research Lead of Ubenwa Health, a social enterprise using AI to save newborn lives through inexpensive diagnostic technologies based on babies’ cries. In this interview, he shared his interest in both machine learning and health care, his motivation behind pursuing social innovation by founding Ubenwa, as well as his vision on the future direction of AI. View full transcripts at Robin.ly: http://bit.ly/38mNu4W

    • 10 min
    Managing Data Privacy In The AI Era - Peter Richtarik @ KAUST [NeurIPS 2019 AI Leader Talk]

    Managing Data Privacy In The AI Era - Peter Richtarik @ KAUST [NeurIPS 2019 AI Leader Talk]

    Prof. Peter Richtarik from KAUST, discussed his insights of machine learning, stochastic optimization, and data privacy during an exclusive interview with Robin.ly at NeurIPS 2019. View full transcripts and more inspiring AI leader talks at Robin.ly: http://bit.ly/2vZ4S2b

    Peter Richtarik is a professor at the King Abdullah University of Science and Technology, primarily working in the area of big data optimization and machine learning. He is known for his work on randomized coordinate descend algorithms, stochastic gradient descent, and federated learning. He is also the co-inventor of Federated Learning, a Google platform to improve communication efficiency, as well as data privacy.

    • 17 min
    Facilitate Multi-nation Collaboration for AI Research in Europe. Nuria Oliver @ ELLIS Board

    Facilitate Multi-nation Collaboration for AI Research in Europe. Nuria Oliver @ ELLIS Board

    Nuria Oliver, co-founder of ELLIS (“European Laboratory for Learning and Intelligent Systems”) shared ELLIS’ mission behind its latest announcement at NeurIPS 2019, and offered her advice on how individuals and organizations can get involved and support ELLIS. View full transcripts and more inspiring talks at Robin.ly: http://bit.ly/2S0EY5t.

    Nuria Oliver is Chief Scientific Adviser at the Vodafone Institute and Chief Data Scientist at DataPop Alliance. As an AI researcher, Nuria Oliver holds a Ph.D. degree from the Media Lab at MIT. She is an ACM Distinguished Scientist and the first female ACM Fellow from Spain. She was also elected permanent member of the Royal Academy of Engineering of Spain. Nuria Oliver’s research interest covers human behavior modeling, human-computer interaction, mobile computing and big data for social good. Her research work has been cited in more than 17,000 publications.

    • 10 min
    Machine Learning: From Research to Production & Deployment - Irina Farooq, CPO @ Kinetica

    Machine Learning: From Research to Production & Deployment - Irina Farooq, CPO @ Kinetica

    Irina Farooq, Chief Product Officer of Kinetica, shared valuable insights and tactics to bring machine learning out of the lab into production and deployment at scale. View full interview and more inspiring talks at Robin.ly: http://bit.ly/2uhbLuL

    Irina Farooq is Chief Product Officer for Kinetica, an active analytics leader in the Extreme Data Economy. Irina has over a decade of product management experience across a variety of sectors, including enterprise software, networking, hardware, IoT, SaaS, and Cloud. She previously held leadership roles in Riverbed Technology and Grid Net. Irina has bachelor’s degrees in Mathematics and Computer Science from MIT, as well as an M.B.A. from Stanford University.

    • 23 min

Customer Reviews

Vivien_X ,

Very in-depth interview

This podcast includes the newest tech advancement information as well as the deep thoughts from tech leaders. What I love the most is the interview with Chris Manning. His opinion on syntactic parsing and future of the combination of nlp and cv really inspired me.

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