Leaders In AI

The COVID-19 pandemic has dramatically changed everyday lives. Our eCommerce and retail experience will never be the same as companies build new forms of connecting with consumers, delivering products, and managing eCommerce supply chains. From tailored product recommendations and 24/7 chatbots to cashier-less grocery stores and virtual fitting rooms, AI has created enormous value and transformed eCommerce and retail industries. View transcripts & more talks: https://www.robinly.info/ This virtual meetup co-hosted by Women in AI, Robin.ly, and TalentSeer on April 30, 2020, gave valuable insights on career advice as well as the impact of AI in the eCommerce & retail industries. Our featured guest speakers include: Bindu Reddy: CEO & Co-Founder @ RealityEngines.AI; Former General Manager, AI Vertical Services @ Amazon Web Services Yuqian Dong: Senior Research Lead @ Wormpex AI Research

This episode features Kelly Perdew, a Co-Founder and Managing General Partner at Moonshots Capital, an early-stage VC fund that invests in tech companies leaning heavily on veteran founded companies. Kelly shared his entrepreneurship experience starting from winning Trump's “The Apprentice” Show and practical advice for startup leaders during the challenging times, like the COVID-19 pandemic. View full interview at Robin.ly: https://bit.ly/3cgDEns

As numerous companies around the globe shifted to mandatory remote working amid the COVID-19 pandemic, it becomes more critical to effectively engage and manage a remote engineering team and start developing a remote-friendly culture for the future. View transcripts & more leadership talks: https://bit.ly/2V0BWki Robin.ly and TalentSeer co-hosted the special Tech Leadership Webinar on April 9, 2020, to offer timely expert insights and pro tips for the tech community during this challenging time. Our featured guest speakers include: Rong Yan: CTO @ Verishop; Former Sr Director of Engineering @ Snapchat Omar Rahman: Senior Manager of AI & ML @ Adobe

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.

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.

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

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.

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.

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.

Prof. Max Welling shared insightful perspectives on distributed machine learning, edge computing, the differences in AI research between Europe and the US, and highlights from 6 research papers accepted at NeurIPS 2019. View full video and more inspiring AI talks at Robin.ly: http://bit.ly/2uJJqgQ Follow us for timely updates of new AI talks: Youtube: https://www.youtube.com/channel/UC3RT8-VstUCH5B9uI3IIXBQ LinkedIn: https://www.linkedin.com/company/robinly/ Twitter: https://twitter.com/JoinRobinly Newsletter: http://bit.ly/2TptMBy

Prof. Yoshua Bengio is one of the founding fathers of Deep Learning and winner of the 2018 Turing Award jointly with Geoffrey Hinton and Yann LeCun. He was interviewed by Song Han, MIT assistant professor, and Robin.ly Fellow Member, at NeurIPS 2019 to share in-depth insights on deep learning research, specifically the trend from unconscious to conscious deep learning. He also discussed how to mitigate the carbon footprints from AI research through higher computing efficiency and urged young researchers to focus on ambitious, long-term goals and keep an open engagement with their peers. View full transcripts and more inspiring AI leader talks at Robin.ly: http://bit.ly/2ta63dw

This episode is a recording of a panel discussion on “How to assess a startup offer – what to expect and lessons learned” that took place on the 5th December 2019. The panel was part of a meetup co-hosted by TalentSeer and Women In Big Data. Panel speakers include Tina Kung, VP of Product @ IngageApp, Sena Zorlu, Investment Associate @ Kubera Venture Capital, Brianna Swanson, Director, People Ops @ Kindred AI, and was moderated by Margaret Laffan, VP of Business Development @ TalentSeer. What follows is a powerful discussion and insights on Startup offers from experienced leaders. Learn more at Robin.ly: http://bit.ly/2LElPns

This episode is a recording from the diversity career meetup “How to assess a startup offer” co-hosted by TalentSeer, Robin.ly and Women In Big Data that took place on December 6, 2019. This talk presented by Lorry Tang, Director of Talent at TalentSeer, provides a comprehensive picture of startup offers and practical guidance on how to evaluate them. Learn more at Robin.ly: http://bit.ly/2LElPns

This episode features Keenan Johnson, former Head of Engineering and Founding Engineer at Impossible Aerospace. Visit Robin.ly to view full transcripts and more inspiring AI talks: http://bit.ly/2XQaZj3 Keenan Johnson is an engineer and leader excited about building organizations and products that help humanity and align with his skills in aerospace and technology. Previously, he was the Head of Engineering and a Founder at Impossible Aerospace, an American company working to end the age of kerosene propulsion and fully electrify all air transport. Keenan got his start in aerospace working with NASA to develop novel techniques for satellite propulsion and performing CPR in microgravity environments. He then moved to SpaceX as a software engineer and mission control operator, where he worked on the world's first orbital-class rocket capable of reuse. He is currently exploring several project ideas involving AI and robotics to help the visually impaired and educate children about renewable energy.

Dr. Lei Yang, VP and Head of Engineering at Quora, the biggest Q&A website in the US, discussed current machine learning applications at Quora, her career journey from Google to Quora, and unique leadership insights on managing and scaling teams. View full video and transcripts at Robin.ly: http://bit.ly/2Bd96SW Prior to Quora, she worked at Google, where she actively engaged with the Google Research Award program and was the Google liaison for many university research programs. She holds a Ph.D. degree from Northwestern University in Computer Engineering. Dr. Yang has over 10 years of hands-on experience in machine learning and has built and led teams in the areas of ranking, personalization, content recommendation, and more.

This episode features Forrest Iandola, former CEO and Co-founder of DeepScale, a Silicon Valley-based startup aiming to bring advanced efficient perception capabilities to edge devices. He shared in-depth insights into the autonomous driving industry and how DeepScale's unique computer vision technology can help vehicles better understand the environment. View videos & transcripts at Robin.ly: http://bit.ly/2oC78Jh Forrest completed a Ph.D. in electrical engineering and computer science at UC Berkeley, where his research focused on deep neural networks. His best-known work includes deep learning infrastructure such as FireCaffe and deep models such as SqueezeNet and SqueezeDet. His advances in deep learning led to the founding of DeepScale in 2015. Forrest Iandola joined Tesla as a senior staff machine learning scientist on September 30, 2019. This interview was conducted when Forrest was in the CEO position at DeepScale.

This episode features Keno Fischer, Co-Founder and Chief Technology Officer of Julia Computing. He shared the stories behind the creation of the popular programming language Julia and its adoption. View the full interview transcripts and more inspiring talks at Robin.ly: http://bit.ly/2pdbBSH Julia is one of the popular modern open-source language for data science, machine learning and scientific computing. It combines the functionality of quantitative environments such as R and Python with the speed of production programming languages like Java and C++ to solve big data and analytics problems. Keno Fischer began contributing to Julia when the language was first released in 2012, when he was a high school student. He then co-founded Julia Computing in 2015 and graduated from Harvard University in 2016. Keno was named to its ‘30 Under 30’ list of young leaders in enterprise technology.

Ji Liu is an assistant professor at the University of Rochester and the Director at Kuaishou Seattle AI Lab. Prior to Kuaishou, he was the Principal Scientist at Tencent. His research interests include Machine Learning, Optimization, Reinforcement Learning with emphasis on big data involved scenarios. Professor Liu is also interested in applying technology to solve real world problems in the area of image analysis, game AI design, vision understanding, etc. The asynchronous parallel algorithm he proposed has been widely used in many machine learning platforms, such as Google’s TensorFlow. In 2018, he was also named “Innovator Under 35 in China” by MIT. This episode is a live recording of our interview with Dr. Ji Liu at the 2019 CVPR conference. He shared his experience in deep learning research and it is applied to optimize user experience at Kuaishou.

This episode is a live recording from our live interview with Dr. Le Lu, Executive Director of PAII Bethesda Research Lab and former NIH staff scientist, at the CVPR 2019 conference. He discussed the progress of applying deep learning in medical research and the challenges the industry is facing. View the full interview transcripts and more inspiring talks at Robin.ly: http://bit.ly/2XyTUs9 Bethesda Research Lab. PAII Inc. is a tech-driven company focusing on smart city technologies, intelligent education programs and advanced technical solution on healthcare imaging and clinical informatics. Prior to PAII, Dr. Lu worked with the National Institute of Health Clinical Center. His research focuses on improving the modern medical image understanding and semantic parsing to fit into revolutionary clinical workflow practices.

This episode is a live recording of our interview with Dr. Gang Hua, VP and Chief Scientist at Wormpex AI Research, at the CVPR 2019 conference. He shared inspiring thoughts on the trends and challenges of computer vision and the future of Artificial Intelligence. View the full interview and transcripts at Robin.ly: http://bit.ly/2XshBm6 Wormpex AI research the research branch of a fast-growing Chinese convenience store chain Bianlifeng. Prior to Wormpex, Gang was the director of Computer Vision Science at Microsoft and an Associate Professor at Stevens Institute of Technology. He’s an IEEE Fellow, an IAPR Fellow, and an ACM Distinguished Scientist. His research focuses on computer vision, pattern recognition, machine learning, robotics, and more. Dr. Hua served as the Program Chair of the CVPR 2019 conference.

Our CVPR 2019 special AI talk features Shumian Xin and Prof. Ioannis Gkioulekas, co-authors of “A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction”, and winners of the CVPR 2019 Best Paper Award. Shumian is a 2nd-year PhD student and Ioannis is an assistant professor, both from the Robotics Institute of Carnegie Mellon University. They shared the details on the impressive results found from their recent research project, especially the importance of the collaborative experience within the development process, her enthusiasm about computational imagery, and the comparison with LiDAR sensors. View full interview video at Robin.ly: http://bit.ly/2Xju4rZ

This episode is a live recording of our interview with Professor Christopher Manning at the CVPR 2019 conference. He shared inspiring thoughts on the research trends and challenges in computer vision and natural language processing and the progression to commercialization. Visit Robin.ly to view video and full transcripts: http://bit.ly/2RJjUzQ. Dr. Christopher Manning is the Thomas M. Siebel Professor in Machine Learning in the Departments of Computer Science and Linguistics at Stanford University. He is also the Director of the Stanford Artificial Intelligence Lab. His research focuses on exploring software that can intelligently process, understand, and generate human language material. During the CVPR 2019 conference, Professor Manning was an invited speaker for the workshop “Visual Question Answering and Dialog.” The paper he advised “GQA, a new dataset for compositional question answering over real-world images” was also accepted by CVPR 2019.

Dr. Chang Yuan, founder and CEO of Foresight AI, shared his research journey in computer vision, his entrepreneurship experience, and perspectives on the future of autonomous mobile robots. Visit Robin.ly to view the transcripts and more inspiring AI talks: http://bit.ly/2NfvOTk. Foresight AI is an AI and robotics technology company that develops a global scale data platform to empower autonomous mobile robots, such as robo-taxis, delivery trucks, and flying cars. Previously, Dr. Yuan was a senior research manager at Apple Special Projects Group and Senior Scientist at Amazon. He received his Ph.D. of Computer Science from USC in 2007 and has more than 10 years of R&D experience in building cutting-edge technologies and products in the areas of computer vision, machine learning, robotics, etc.

This podcast is a live recording of the panel discussion on "the future of transportation" at Robin.ly AI commercialization conference that took place in Mountain View, CA on June 1, 2019. Our panelists included Louay Eldada, CEO and Co-Founder of Quanergy; Nalin Gupta, Co-founder of the Autonomous Driving Division at Ridecell; Ruslan Belkin, CTO of NAUTO; and Tao Wang, former Co-founder of Drive AI. This panel was moderated by Alex Ren, founder of Robin.ly and TalentSeer and Managing Partner of BoomingStar Ventures. Visit Robin.ly to access the complete video recording and transcripts: http://bit.ly/2FaA00u

This podcast is a live recording of the speech "AI in Autonomous Driving: Challenges and Opportunities" by Tao Wang, co-founder of Drive AI at Robin.ly AI commercialization conference that took place in Mountain View, CA on June 1, 2019. Visit Robin.ly, www.robin.ly to view the presentation video, download the slides, and check out more inspiring talks from the event: http://bit.ly/2F9UyGg. Tao Wang is a tech leader and entrepreneur with over 10 years of experience in AI and robotics. He is among the first to apply deep learning to self-driving cars. He was the co-founder of Drive.ai, a Silicon Valley startup specializing in level 4 self-driving cars, and led the research and engineering team. He graduated from Stanford University with a master degree in computer engineer.

Yang Liu, Head of AI Lab @ LAIX (Liulishuo), discussed Language Processing in the Deep Learning Era at Robin.ly AI Commercialization Conference 2019. Visit Robin.ly to download slides and view more talks: http://bit.ly/2FdX3rc. LAIX is a leading AI-driven educational technology company offering a personalized and adaptive language learning experience. Yang was also an associate professor at the University of Texas at Dallas. She published over 140 peer-reviewed papers and won the NSF Career Award and Air Force Young Investigator Award.

This podcast is a live recording of Dr. Yangqing Jia's talk "Software Engineering in the AI Era" with the Robin.ly community in October 2018. Dr. Yangqing Jia is the author of the popular deep learning framework Caffe and a core developer of Facebook’s flagship AI framework PyTorch. Dr. Jia received his PhD in computer vision from UC Berkeley in 2013 and worked at Google Brain as a research scientist afterwards. He joined Facebook in 2016 and led a team to develop the general-purpose, large-scale AI platform for Facebook AI products. In March 2019, he joined Alibaba as the VP of Engineering to lead AI and big data development for the Chinese e-commerce giant. Visit Robin.ly to view the complete talk: http://bit.ly/2WE7ObX

This episode features Brian Frank, former VP of Global Sales Operations at LinkedIn and advisor for DocuSign, BlueJeans & Reali. Brian Frank has over 20 years of experience in helping build, scale and operate sales teams for leading companies around the world. He was the VP of Global Sales Operation at LinkedIn, where he made the organization more productive and successful. Brian shared his career transition from a lawyer to a tech sales leader and unique perspectives on how to develop leadership during this episode. Visit Robin.ly to view the full video interview and transcripts: http://bit.ly/2WCiacs

Dr. Haixun Wang is currently the VP of Engineering and Distinguished Scientist at WeWork, a leading provider of shared workspaces and office services. Prior to WeWork, he was the director of Natural Language Processing at Amazon and held senior research positions at Facebook, Google and Microsoft. Dr. Wang is an IEEE Fellow Member and has published over 120 journal and conference papers. This podcast is a live recording of his talk on "Internet of Things & AI" with the Robin.ly Community in February 2019. Visit Robin.ly to view event video and download slides: http://bit.ly/2WHjcnm.

This podcast is a live recording of Kai-Fu Lee's Silicon Valley talk on "The Era of AI: The Rise of China & The Future of Work" in December 2018. View full video recording and transcript at Robin.ly: http://bit.ly/31ucUeq. Dr. Kai-Fu Lee is an AI thought leader with over 30 years’ experience in AI research, development and investment between the United States and China. He is currently the Chairman and CEO of Sinovation Ventures, a $2 billion dual currency fund focusing on developing Chinese high-tech companies. Previously, Dr. Lee was the Vice President of Google and held executive positions at Microsoft, SGI, and Apple.

This episode features Sam Liang, CEO and Founder of Otter.ai. Sam got his Ph.D. degree in Electrical Engineering from Stanford University in 2003, specialized in large scale distributed internet systems. He was a core team member at Google Map Location Service before he became an entrepreneur. He previously founded, Alohar Mobile, world’s first mobile location context platform that was successfully acquired by Alibaba in 2013. As a serial entrepreneur, Sam found his current company Otter.ai, focusing on building ambient voice intelligence technologies with deep learning to enhance professional productivity. Sam shared his career path and entrepreneurship experience in this episode. Visit Robin.ly to view the full video interview and transcript: http://bit.ly/31edahy.

This episode features Dr. Wei Luo, Chief Operating Officer and Head of Product at DeepMap, a startup aiming to solve the HD mapping and localization challenges for L4/L5 autonomous vehicles. Previously, Wei worked at Google for 9 years leading product and engineering efforts for Google Earth, Google Maps, Geo Enterprise, Location Intelligence and more. Wei received her Ph.D. from UC Berkeley in GIS and Remote Sensing. Wei shared her career experience as a product manager and COO, as well as her insights on product development in HP mapping for autonomous driving vehicles. Visit Robin.ly to view full video interview and transcripts: http://bit.ly/31bupQO.

This episode features Fangjin Yang, co-founder and CEO of Imply, a data analytics startup providing high-performance solutions to large scale event streams. Fangjin is also a co-author of Apache Druid, an open-source data store designed to quickly digest massive event data. Prior, he was the Engineering Lead at Cisco systems and Metamarkets (acquired by SnapChat). Fangjin shared his career path and his entrepreneur experience on how to evolve an open source project into a business. Visit Robin.ly to view full video interview and transcripts: http://bit.ly/2Xzr9N2

This episode features Dr. Ravi Krishnamurthy, former Chief Product Officer at Lucidworks, a platform integrating search and AI to create smart data experiences for enterprises. Ravi drove Lucidworks’ business transformation from consulting to product and delivered many major platform releases. Ravi received his Ph.D. from Rensselaer Polytechnic Institute in electrical engineering and holds 17 patents in video analysis and computer vision. Ravi shared his career path from an engineer to a product lead and entrepreneur, as well as his view on the cultural differences between U.S. and India. Visit Robin.ly to view full video interview and transcripts: http://bit.ly/2XtgJ1j

This episode features Brien Colwell, co-founder and CTO at HeadSpin, a mobile performance platform for managing user experience globally. Brien previously founded a Y Combinator-backed startup, Nextop. He also worked on mobile architecture at Quora, and early product development at Palantir Technologies. Brien graduated from UC Berkeley majoring in Electrical Engineering and Computer Science. Brien shared his career path from an engineer to a tech leader and entrepreneur and his insights on building a unique culture for start-up companies. View the full video interview and transcripts at Robin.ly: http://bit.ly/2XtLqDk

This episode features Paul Dawes, CEO of MODE.net, a software-defined private global network company backed by New Enterprise Associates (NEA) and Google Ventures (GV). Paul Dawes was previously the CEO of iControl Networks, a leading provider of SaaS IoT smart home solutions purchased by Comcast in 2017. Paul shared his career path from a sales engineer to a startup CEO and how to successfully build and lead a team for sustainable growth. Visit Robin.ly to view full video interview video and transcripts: http://bit.ly/2Kbg5BO.

This episode features Dr. Zhou Yu, Assistant Professor at the Computer Science Department of UC Davis. She led a student team to win the 2018 Alexa Prize for creating the best chatbot and advancing conversational AI. She is also featured in Forbes 30 Under 30 in Science list. Dr. Yu shared her experience in the Alexa competition and her view on the current landscape of conversational AI. Visit Robin.ly to view the full video interview and script: http://bit.ly/2KbP0OH

This episode features Julian Ma, CEO of Inceptio Technology, a LaaS (Logistics as a Service) company that operates a nationwide autonomous line-haul trucking network powered by their own autonomous technology. Julian shared his entrepreneurial journey and his view on the commercialization of autonomous driving technology through fleet trucking and logistic service. Visit Robin.ly to view full interview video and transcripts: http://bit.ly/2KdtkBK