Eta Compute was founded in 2015 with the vision that the proliferation of intelligent devices at the network edge will make daily life safer, healthier, comfortable and more convenient without sacrificing privacy and security. It’s recently launched DIAL™ Technology is the world’s lowest power embedded platform that delivers significantly more machine intelligence to energy-constrained products. For a given power source, DIAL delivers the most compute power enabling local intelligence on the device which increases accuracy and speed of decisions. Processing at the network edge also reduces power hungry RF transmissions extending battery life while improving security and privacy.

Leadership Team

Eta Compute is fueled by a team of world leaders in machine learning, CPU and SoC architects, analog and digital designers, most with more than 20 years experience. More than 60% of Eta Compute’s engineering team holds a Ph.D.

Gopal Raghavan, Ph.D., CEO and Co-founder of Eta Compute, is an expert in engineering design and innovation for advanced technologies that solve the world’s toughest challenges. Prior to co-founding Eta Compute, Dr. Raghavan was the CTO of the Cadence Design Systems IP Division. Before Cadence, he co-founded Inphi Corporation (NYSE: IPHI), a company that set new standards for ultra-high bandwidth optical solutions. Before Inphi, he worked at Hughes Research and for Intel. Dr. Raghavan earned his bachelor’s degree in technology from the Indian Institute of Technology, Kanpur, and both his master’s and doctorate degrees in electrical engineering from Stanford University.

Narayan Srinivasa, Ph.D., CTO of Eta Compute, is an expert in machine learning and neuromorphic computing and its applications to solve real world problems. Prior to Eta Compute, Dr. Srinivasa worked at Intel Labs as chief scientist and senior principal engineer, leading the work on neuromorphic computing. Before Intel Corporation, he was the director for the Center for Neural and Emergent Systems at Hughes Research Laboratories.  Over an 18-year period, he served in various capacities including the principal investigator for DARPA programs SyNAPSE, Physical Intelligence, UPSIDE and others. Dr. Srinivasa has 51 issued patents, published over 90 articles in peer-reviewed journals, and was keynote speaker at several international conferences. Reports about his work have also appeared in The Economist, MIT Technology Review, Wired, and Forbes. Dr. Srinivasa has a Ph. D. from the University of Florida and was a Beckman Post-Doctoral Fellow at the University of Illinois at Urbana-Champaign.

David Baker, Ph.D., is the Chief Architect at Eta Compute, where he develops asynchronous processors, and standard logic for energy constrained applications. Prior to Eta Compute, Dr. Baker held a number of founder, vice president and director positions at Ambiq Micro, Firefly CPU, Green Hills Software, Legerity, Inc., SigmaTel, Inc., Brooktree, Compaq Computers, and IBM and others.  Dr. Baker earned his bachelor’s degree in electrical and electronics engineering from New Mexico State University, and both his master’s and doctorate degrees in electrical and electronics engineering from The University of Texas at Austin. He has been awarded more than 40 patents.

Bryan Cope is vice president of SoC architecture and realization for Eta Compute. Mr. Cope has twenty five years of experience leading teams developing SoCs, targeted at both low-power and high-performance applications. While he began his career with IBM, he quickly discovered a love for the startup environment while working at Equator Technologies. Since that time, Mr. Cope has led teams at several hardware startup companies, most recently at Ambiq Micro prior to joining Eta Compute. He holds both bachelor’s and master’s degrees in computer engineering from North Carolina State University.

Paul Murtagh Ph.D., vice president of analog design, has over thirty years of experience implementing novel analog architectures that significantly lower power consumption. Prior to Eta Compute, Dr. Murtagh was senior principal engineer at Inphi Corporation focused on analog design and memory interface circuits. Dr. Murtagh has published articles in IEE Proceedings and the Journal of Parallel and Distributed Computing regarding hardware implementations of artificial neural networks. Dr. Murtagh holds a bachelor’s, master’s, and Ph.D. degrees in electrical engineering from The University of Queensland, Australia. His master’s and Ph.D. degrees are focused on hardware implementations of artificial neural networks. He is a senior member of IEEE and has been awarded 4 US patents.

Tim Semones, CFO and Co-founder brings more than three decades of engineering design and financial expertise to Eta Compute. He was a co-founder, CFO, COO, and board member at Inphi Corporation. Mr. Semones has held senior executive positions with MindSpring/Earthlink, founded two instrumentation startups, and started his career at Hewlett Packard. He earned his bachelor’s degree in electrical engineering from Georgia Institute of Technology. He was awarded his MBA from the UCLA Anderson School of Management where he also completed the Director Certification Program.

Paul Washkewicz is Vice President of Marketing and Sales and Co-founder of Eta Compute. Mr. Washkewicz brings extensive experience in technology and product marketing having held senior management positions at Intel Corporation, Hewlett Packard, and General Dynamics. Prior to Eta Compute he worked for 13 years at Inphi Corporation, as the Vice President of Servers and Storage Business Unit. Mr. Washkewicz earned his bachelor’s degree in electrical engineering from California State Polytechnic University-Pomona.

Chao Xu, Ph.D., vice president of technology brings more than 20 years of experience in the advanced signal processing and machine learning, networking semiconductor, and silicon photonics. Prior to Eta Compute, Dr. Xu served as senior director of communication systems and computing and storage platform at Inphi Corporation. Prior to Inphi, he held senior R&D positions at Integrated Device Technology and PMC-Sierra. Dr. Xu has over 30 pending and awarded patents. He received his Ph.D. from the University of Pennsylvania, a master’s of science degree and a bachelor of engineering degree in electrical engineering from the University of Science and Technology of China. His research area includes speech recognition, noise robustness, feature extraction, and other general machine learning methods.

 

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