Artificial Intelligence is here, not only to stay, but to change our world. A long time ago Humans invented the wheel to move faster and to help relieving their muscles by heavy jobs. Today we, Humans, are shaping and developing the AI, to help our most important muscle, the brain, to go further and open new unthinkable landscapes, new opportunities and new jobs.
Mentium has the technology to bring ultra-fast AI to low power electronics, like cameras, sensors, microphones, wearable accessories, and bringing the performances of autonomous vehicles and AI cloud computing to a whole new level.
Dr. Prezioso received his M.S. and Ph.D. degrees from Parma University, Italy. He worked at National Research Council in Bologna on the spintronic-memristive effects in organic materials and then moved to the University of California in Santa Barbara where he joined the Prof. Strukov’s group to pursue his interests in memristive systems.
With a theoretical condensed matter physics background, a long experience in experimental device physics, device fabrication and their simulation.
Lead scientist for the first demonstration of neuromorphic hardware based on integrated memristors.
Farnood Merrikh Bayat received his M.Sc. and first Ph.D. in Electrical Engineering from Sharif University of Technology, Iran. He then joined the Computer Engineering Department of University of California Santa Barbara to earn his second Ph.D. where he later served as a PostDoc for two years. Dr. Merrikh Bayat has worked in the fields of signal processing, fuzzy logic, approximate computing, analog circuit design, nanoelectronics and neuro-fuzzy computing systems but his current research interests are in the design and hardware implementation of high-performance deep neural networks and neuromorphic systems based on nanoelectronics memory devices such as memristor and floating-gate (flash) transistor. Notably, he was the lead scientist for the first successful demonstration of large-scale neural network hardware based on integrated floating-gate transistors.
Dmitri B. Strukov received the M.S. degree in applied physics and mathematics from the Moscow Institute of Physics and Technology, Moscow, Russia in 1999, and the Ph.D. degree in electrical engineering from Stony Brook University, Stony Brook, NY, USA, in 2006. He is currently a Professor of Electrical and Computer Engineering at University of California at Santa Barbara. Prior to joining UC Santa Barbara, Dr. Strukov worked as a postdoctoral associate at Hewlett Packard Laboratories on various aspects of nanoelectronic computing systems. His research broadly concerns different aspects of computation, addressing computation efficiency on various levels of abstraction, and spans across different disciplines including material science, device physics, circuit design, high level computer architecture, and algorithms with the emphasis on the emerging device technologies. In the past several years, his major focus was on metal-oxide memristors and floating-gate circuits for neurocomputing. His group was the first to demonstrate pattern classification task with memristor crossbar circuits and redesigned NOR flash memory. Dr. Strukov has received 14 patents and published more than 100 original research publications, which have won best paper awards on multiple occasions.
Konstantin K. Likharev received the Candidate (Ph.D.) degree in Physics from the Lomonosov Moscow State University, Russia in 1969, and the habilitation degree of Doctor of Sciences from the Higher Attestation Committee of the U.S.S.R. in 1979. From 1969 to 1988 Dr. Likharev was a Staff Scientist of Moscow State University, and from 1989 to 1991 the Head of the Laboratory for Cryoelectronics of that university. In 1991 he assumed a Professorship at Stony Brook University (Distinguished Professor since 2002). During his research career, Dr. Likharev worked in the fields of nonlinear classical and dissipative quantum dynamics, and solid-state physics and electronics, notably including superconductor electronics and nanoelectronics. His current research interests are in the architecture and nanoelectronic implementation of high-performance neuromorphic networks. Dr. Likharev is an author of more than 350 original publications, 80+ review papers and book chapters, 2 monographs, an online lecture note series “Essential Graduate Physics”, and several patents. He is a Fellow of the APS and IEEE.
John E. Bowers holds the Fred Kavli Chair in Nanotechnology, and is the Director of the Institute for Energy Efficiency and a Professor in the Departments of Materials and Electrical and Computer Engineering at UCSB. He is a cofounder of Aurrion, Aerius Photonics and Calient Networks. Dr. Bowers received his M.S. and Ph.D. degrees from Stanford University and worked for AT&T Bell Laboratories and Honeywell before joining UC Santa Barbara. Dr. Bowers is a member of the National Academy of Engineering and the National Academy of Inventors. He is a fellow of the IEEE, OSA and the American Physical Society, and a recipient of the IEEE Photonics Award, OSA Tyndal Award, the OSA Holonyak Prize, the IEEE LEOS William Streifer Award and the South Coast Business and Technology Entrepreneur of the Year Award. He has published eight book chapters, 700 journal papers, 900 conference papers and has received 64 patents. He and coworkers received the EE Times Annual Creativity in Electronics (ACE) Award for Most Promising Technology for the hybrid silicon laser in 2007.
California NanoSystems Institute, University of California Santa Barbara, CA 93106-6105, USA