Today's computers simply do not have the horsepower to run the software of tomorrow.
Algorithms will keep changing faster than the hardware they run on. Building single-purpose solutions is slow, expensive, and results in solutions that are outdated by the time they are available.
All software developers should have the benefit of hardware that conforms to the algorithm and not be constrained by the hardware.
Data science should be about data, insights, and business. Not GPUs, compute clusters, and dev ops.
As fast, flexible computing becomes more accessible, AI will be used by more industries for more applications more frequently.
Karu Sankaralingam, PhD
Founder, CEO, CTO
Karu started as Professor of Computer Sciences at UW-Madison in 2007. He has been the advisor for 9 graduated PhDs. He has 17 patents and published 91 papers, including 8 award papers. He received IEEE TCCA Young Architect Award and NSF CAREER Award and was the project lead for the TRIPS chip, the MIAOW open-source GPGPU, and OpenSplyser SPARC extension.
VP Silicon & Systems Engineering
Jitu has over 20 years of experience with multiple chips and SoC tapeouts. 25+ chip tapeouts down to 7nm, including multiple ARM 64-bit server chips. Formerly the Senior Director of Technology in the data center group at Qualcomm, where he was responsible for managing and leading all design activities and was one of two original SoC leads on the Machine Learning chip.
VP Business Operations
Brian has been starting and building businesses for more than 15 years. He has built and led teams in Operations, Sales, Marketing, Engineering, Product, and Customer Success. He led the R&D team at Networked Insights and launched one of the first commercial AI SaaS platforms before it was acquired by a Fortune 500 insurance company.
BOARD OF DIRECTORS
BOARD OF ADVISORS
Shmuel Silverman, PhD
Shmuel is a technology leader and investor with over 165 patents and disclosures, specializing in Telecommunications, IoT, Blockchain, Robotics, and AI. He is the Founder/CEO of Multi-Innovation, an IP protection services company, and has held senior technical positions at Xilinx, Motorola, and River.
Doug Burger, PhD
Doug is Microsoft Distinguished Engineer and currently serves as Technical Fellow for Microsoft’s Azure Hardware Systems. He is one of the world’s leading active researchers in computer architecture and former professor at The University of Texas at Austin. He is an IEEE Fellow, ACM Fellow and has over 50 patents, including 6 with Bill Gates.
Mark Mcdermott, PhD
Mark is a Professor of Practice and EIR at The University of Texas at Austin. He has over 40 years of industry experience development silicon systems, including as former Sr. Director at Apple, VP/GM at Intrinsity, and VP Engineering at Coherent Logix. He has 19 patents and numerous publications in IC design.
Dileep Bhandarkar, PhD
Dileep recently retired as VP of Technology at Qualcomm. Previously, he was a Distinguished Engineer at Microsoft responsible for Server Hardware Architecture and held senior roles at Intel, Digital Equipment Corp, and Texas Instruments. He is an IEEE Fellow with 16 patents and 30+ published papers.
Jude Shavlik, PhD
Jude is a retired professor from the University of Wisconsin-Madison and one of the foremost authorities on machine learning and AI. He was named a Fellow of the Association for the Advancement of AI (AAAI) in 2006 for "his significant contributions to machine learning, especially knowledge-based approaches."