Our mission is to empower kids from elementary, middle, and high school to learn AI and realize their passions through creative applications of their learnings.
We are a group of AI and software experts with PhDs from top-tier schools and many years of real-world experience. We created AIClub to help the next generation of kids improve their AI Literacy and imagine the future with technology.
Curious why kids should learn AI? Check out AI for Kids.
Our Founder's Story
Dr. Nisha Talagala is the founder of AIClub. She received her Ph.D in Computer Science from UC Berkeley. Nisha is a world-renowned computer scientist and an expert in Artificial Intelligence and Machine Learning. Prior to AIClub, she founded an AI startup that helped banks and other large corporations build AIs, which was successfully acquired. She is also a leader in academia organizing top research conferences in AI and also writes about AI in Forbes and other publications. She has an 11-year-old daughter. AIClub started with her efforts to share this technology with her daughter. She found that no other programs are able to make it easy and fun for kids to learn and practice real AI, so, with colleagues, AIClub was born to make AI accessible to kids and individuals worldwide. All AIClub partners, Sindhu Ghanta and Swami Sundararaman have PhDs in Computer Science, and together we have built a program where hundreds of students from K-12 have learned AI, built and continue to build AI projects, learn how to understand the AIs all around them, and are empowered to apply AI to their passions in life. We also provide AI education to Developers and Business Professionals looking to upskill in AI.
Artificial Intelligence is a powerful technology that is changing every aspect of our lives. But it goes far beyond fun gadgetry. AI is changing the way companies use information about their customers, how privacy is managed, and how decisions that affect your life - from medical treatments to loan interest rates - are made. For our future well-being, it is imperative that this generation, and every one after it, becomes “AI-Literate”. This includes not just understanding how the technology works and how to apply it, but also appreciating its strengths and weaknesses, and as a human, forming opinions on how it should influence and integrate with our lives, our laws, and our societies.
Our vision is that this next generation of kids learn these critical technologies and in the near term use them to help their own future, both in college and beyond. In the longer term, we hope to play a role in empowering this generation to understand, manage and apply these skills and their own creativity to envision the future. .
Together, our team leaders hold 5 PhDs, over 200 patents, over 100 research publications, and over 50 years of real-world computer industry experience, including founding and selling two startup companies.
We are all also parents! We bring this expertise to help your kids and ours learn and succeed.
Artificial Intelligence is a powerful technology that is changing every aspect of our lives. But it goes far beyond fun gadgetry. AI is changing the way companies use information about their customers, how privacy is managed, and how decisions that affect your life - from medical treatments to loan interest rates - are made. For our future well being, it is imperative that this generation, and every one after it, becomes “AI-Literate”. This includes not just understanding how the technology works and how to apply it, but also appreciating its strengths and weaknesses, and as a human, forming opinions on how it should influence and integrate with our lives, our laws and our societies.
Nisha Talagala is the CEO and founder of Pyxeda AI. Previously, Nisha co-founded ParallelM which pioneered the MLOps practice of managing machine learning in production. Nisha is a recognized leader in the operational machine learning space and has more than 20 years of expertise in software development, distributed systems, technical strategy and product leadership. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha co-chairs the annual conference on production machine learning (OpML). Nisha holds 75 patents in distributed systems and software, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes Online/Cognitive World and other publications.
Swaminathan (Swami) Sundararaman is the CTO and co-founder at Pyxeda.ai. Swami is a leader in operational machine learning, edge computing, distributed systems and storage systems. He has 10+ years of expertise in software development and machine learning. Swami holds a Ph.D. from the University of Wisconsin-Madison, and has 30+ patents in Distributed Systems, Operating Systems, Non-Volatile Memory, and storage systems. Swami co-founded the OpML and HotEdge conferences that foster upcoming innovations in operationalizing ML/DL models in production and edge computing, respectively. He serves on the steering committee and program committees of multiple technical conferences.
Amit Gupta is the Head of Products at Pyxeda.ai. Amit has 20+ years of expertise in large-scale distributed systems design and development, and he was previously co-founder and CTO at Andale and Jasper. He holds a Ph.D. from the University of California at Berkeley, and has 50+ patents covering various aspects of Computer Networking, Distributed Systems, and Security.
Sindhu Ghanta received the M.S. degree from Texas Tech University in 2010 and the Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA, in 2014. She was a Post-Doctoral Fellow with BIDMC and the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological (breast cancer) images. She worked as a research scientist with Parallel Machines on monitoring the health of machine learning algorithms in production and has many publications on ML innovations. She currently works as the Head of Machine Learning in Pyxeda.
Venkata Duvvuri is currently a Director of data science at Oracle corporation. He is also an adjunct faculty at Northeastern Univ. teaching data analytics and machine learning. He is results oriented data science, business, web & marketing analytics leader with over 10 years’ experience in Data science, Business Analytics, Digital Media Analytics and Web Marketing optimization with leading internationally recognized corporations, additional 10 years software engineering experience and a top business school MBA. He has experience in management of onshore and offshore teams as well as leadership experience ranging from Director to Manager at Fortune 100 companies including marketing agencies. He is a cross functional leader and subject matter expert in machine learning. He has driven improvements in business & online marketing outcomes to the tunes of several million dollars at Oracle, eBay (Triad Retail Media), Conversant (Alliance Data), AT&T (Cricket Wireless) and crunched several terabytes of data at Apple Corporation. He holds a Masters in Computer science from University of Massachusetts – Amherst and a MBA from University of California- Davis. He is additionally a doctoral candidate at Purdue Univ in Department of Leadership and Innovation.
Bharath Ramsundar, PhD is the founder and CEO of Deep Forest Sciences, a start-up working to accelerate the use of AI in deep tech. Dr. Ramsundar is also the lead maintainer of the DeepChem project, an open source consortium working to build software for open source medicine discovery. Bharath previously co-founded Computable, a venture-backed start-up building better tools for collaborative dataset management. Dr. Ramsundar has a Computer Science Ph.D. from Stanford University. His research and professional interests include the application of deep learning in drug discovery. Bharath is the lead author of “TensorFlow for Deep Learning :From Linear Regression to Reinforcement Learning”, a developer’s introduction to modern machine learning, with O’Reilly Media, and the lead author of “Deep Learning for the Life Sciences”.