Ben Vigoda Email and Phone Number
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Product Genius is essentially "Tik-Tok for shopping". Our eCommerce-AI engages each shopper in seconds as they scroll, and doubles the customers you get from your ad spend.For Shopify stores, it's a 1-click install and a 15 minute set up.Previously, I co-founded Lyric Semiconductor, which created the world's first commercial processor architectures for AI/ML (tensor processor units - TPUs) and the first machine learning frameworks in the industry (anticipating Tensor Flow and PyTorch in 2002). Lyric evolved out of my PhD and post-doctoral work at MIT, and was successfully acquired by ADI where I ran the machine learning chipset division, corporate research, and the ADI Venture Fund.With collaborators at MIT, I currently also work on next generation AI architectures. I also contribute to DARPA's AI strategy, as a member of the DARPA ISAT committee.
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Mit Research AffiliateMassachusetts Institute Of TechnologyBoston, Ma, Us
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Darpa Isat Committee, MemberDefense Advanced Research Projects Agency (Darpa) Feb 2024 - PresentArlington, Va, UsLeading SCALEBREAKER study on barriers and accelerators for scaling AI to AGI. -
Mit Visiting ScientistMassachusetts Institute Of Technology Nov 2023 - PresentCambridge, Ma, UsCo-authoring paper, Inductive Transformers: Designing Language Models to Form Abstract Concepts
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Chief Executive Officer, Founder, Chief ScientistProduct Genius Jan 2022 - PresentProduct Genius is the first Generative AI powered shopping experience. It transforms new web visitors into customers and then into repeat customers, by rapidly learning to engage each shopper in an AI-powered website experience.Identified the market opportunity, raised capital, hired the team, built the initial digital marketing funnel, developed the AI algorithms (causal reinforcement learning on top of LLMs), designed the app, closed the first customers, currently scaling the company. -
Scientific/Strategic AdvisorArchipelo 2021 - PresentSan Francisco, Ca, UsI find it very rewarding to help advise other startups and founders. -
Chief ScientistGenius Hackathon Series Aug 2024 - Sep 2024Algorithmic social media feeds have transformed our society, but not always for the best. We have a radically better kind of algorithmic feed based on AI - you can chat with it to tell it what you want your algorithm to be -- you control your feed! It also learns from reading along with you and can make truly awesome recommendations.The platform can be applied to a long list of use cases such as, for example, feeds full of houses (disrupt real-estate), news articles and videos (fix the news), travel experiences (transform hospitality). Our first hackathon in the series has already generated three startup companies.
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Chief Executive Officer, Founder, Chief ScientistGamalon Jan 2015 - Jan 2022Boston, Ma, UsGamalon was a language model company founded in 2013. Principal investigator in DARPA AI program with Stuart Russell (Berkeley), David Blei (Columbia), and Josh Tenenbaum (MIT). Developed one of the first unsupervised transformer deep learning language models, 2015. Created the first UI/UX for editing concepts inside language models, 2016. Created commercial chatbot application, 2018. Filed over 50 patents. Contracts with Apple Siri, Samsung Voice Assistant, Toyota, Avaya and others. TEDx talk, “When Machines Have Ideas”. Raised $32M. -
Darpa Isat Committee MemberDefense Advanced Research Projects Agency (Darpa) 2013 - 2016Arlington, Va, UsLed studies on Predicting Path to AI-Alone Surpassing AI+Humans, AI Apps to Facilitate Peaceful Advancement of Societies, 3-D Molecular Circuits for Machine Learning, and Planning for Sentient AI. Reported findings directly to DARPA leadership.
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General Manager, Analog Devices, Inc.Analog Devices Jun 2011 - Dec 2014Wilmington, Ma, UsGeneral Manager at Analog Devices. My division invented and deployed machine learning signal processing in leading smartphones, consumer electronics, medical devices, wireless base stations, and automobiles.- Led and pair-coded the first machine learning modeling framework (before TensorFlow and PyTorch), and compiler to the first tensor processing silicon (5+ years before Google TPUs). Among other applications, the system was used in for the 1st Google Knowledge Graph implementation.- Grew machine learning chipset group to 100's of people.- Created and led ADI's corporate research lab and incubator, now with over 50 people.- Created ADI's venture group and led its first startup investment. -
Chief Executive Officer, Co-Founder, Chief ScientistLyric Semiconductor, Inc. Oct 2007 - Jun 2011UsLyric Semiconductor, Inc. was a fabless semiconductor company developing the first commercial deep-learning microchips. Pair-coded the first machine learning modeling framework (before TensorFlow and PyTorch), the first compiler for deep learning models, and led the design of the first tensor processing silicon (5+ years before Google TPUs). Filed over 50 patents. Among other applications, the system was used in for the 1st Google Knowledge Graph implementation. Raised $30M. Delivered on DARPA contracts on time and under budget. MIT Technology Review TR50: 50 Most Innovative Companies. Led successful exit to ADI returning 12x ROI to investors in 3.5 years. -
Visiting ScientistMit Dec 2004 - Jun 2010Co-taught course on Computation in Physical Systems and Nature of Mathematical Modeling. Helped support graduate student research in MIT Center for Bits and Atoms.
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Research ScientistMitsubishi Electric Research Labs May 2004 - Mar 2007Cambridge, Ma, UsPremier corporate research lab in Cambridge, MA. MERL researchers often graduate to tenured faculty positions at MIT or other leading institutions.Led DARPA seedling for machine learning circuits. Based on seedling results, won $21.5M DARPA contract to develop machine learning microchips (which later grew to $30M). Filed 3 patents. -
Band LeaderThe Mustn'T Grumble 2003 - 2006Toured and wrote all the music for professional band that played an hour show on National Public Radio for 1.5M listeners
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Research AssistantHewlett-Packard Sep 1996 - Aug 1997Houston, Texas, Us- Initiated first deep learning model enabling HP scanners to recognize documents, resulting in two patents- Transferred MIT sensor research into HP product, used in over 100 million HP printers -
Nsf Undergraduate Researcher (Reu)Santa Fe Institute Jun 1995 - Aug 1995Santa Fe, Nm, UsWorked in Computational Mechanics Group to characterize pattern dynamics in nonlinear and pseudo-linear cellular automata using computational grammars. -
InternBoston University Jun 1990 - Aug 1990Worked in Stephen Grossberg's lab benchmarking neural networks for visual recognition of landmarks in satellite photographs.
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InternStanford University Jun 1989 - Aug 1989Stanford, Ca, UsWorked with Professor Marc Gluck in David Rumelhart's lab. Rumelhart, had he lived, would have won the Nobel Prize in Physics for co-inventing the back-propagation algorithm with Geoffrey Hinton. Coded the first momentum terms in the back-propagation algorithm (now the standard in optimizers like Adam), and ran experiments proving ability to traverse local minima.
Ben Vigoda Skills
Ben Vigoda Education Details
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Massachusetts Institute Of TechnologyCircuit Architectures For Machine Learning -
Swarthmore CollegePhysics
Frequently Asked Questions about Ben Vigoda
What company does Ben Vigoda work for?
Ben Vigoda works for Massachusetts Institute Of Technology
What is Ben Vigoda's role at the current company?
Ben Vigoda's current role is MIT Research Affiliate.
What is Ben Vigoda's email address?
Ben Vigoda's email address is vi****@****mit.edu
What schools did Ben Vigoda attend?
Ben Vigoda attended Massachusetts Institute Of Technology, Swarthmore College.
What skills is Ben Vigoda known for?
Ben Vigoda has skills like Entrepreneurship, Software Development, Applied Mathematics, Algorithms, Machine Learning, Start Ups, R&d, Optimizations, Matlab, Programming, Mathematical Modeling, Optimization.
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