Ben Vigoda Email & Phone Number

Boston, MA, US

Arlington, VA, US

Leading SCALEBREAKER study on barriers and accelerators for scaling AI to AGI.

Cambridge, MA, US

Co-authoring paper, Inductive Transformers: Designing Language Models to Form Abstract Concepts

Product 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.

San Francisco, CA, US

I find it very rewarding to help advise other startups and founders.

Algorithmic 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.

Boston, MA, US

Gamalon 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.

Arlington, VA, US

Led 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.

Wilmington, MA, US

General 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.

US

Lyric 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.

Co-taught course on Computation in Physical Systems and Nature of Mathematical Modeling. Helped support graduate student research in MIT Center for Bits and Atoms.

Cambridge, MA, US

Premier 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.

Toured and wrote all the music for professional band that played an hour show on National Public Radio for 1.5M listeners

Houston, 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

Santa Fe, NM, US

Worked in Computational Mechanics Group to characterize pattern dynamics in nonlinear and pseudo-linear cellular automata using computational grammars.

Worked in Stephen Grossberg's lab benchmarking neural networks for visual recognition of landmarks in satellite photographs.

Stanford, CA, US

Worked 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.

Phd, Circuit Architectures For Machine Learning

Bs, Physics