Agenda

Marc Tremblay

Marc is a Distinguished Engineer and VP in the Office of the CTO (OCTO) at Microsoft. His current role is to drive the strategic and technical direction of the company on silicon and hardware systems from a cross-divisional standpoint. This includes Artificial Intelligence, from supercomputer to client devices to Xbox, etc., and general-purpose computing. Throughout his career, Marc has demonstrated a passion for translating high-level application requirements into optimizations up and down the stack, all the way to silicon. AI has been his focus for the past several years, but his interests also encompass accelerators for the cloud, scale-out systems, and process technology. He has given multiple keynotes on AI Hardware, published many papers on throughput computing, multi-cores, multithreading, transactional memory, speculative multi-threading, Java computing, etc. and he is an inventor of over 300 patents on those topics.

Prior to Microsoft, Marc was the CTO of Microelectronics at Sun Microsystems. As a Sun Fellow and SVP, he was responsible for the technical leadership of 1200 engineers. Throughout his career, he has started, architected, led, defined and shipped a variety of microprocessors such as superscalar RISC processors (UltraSPARC I/II), bytecode engines (picoJava), VLIW, media and Java-focused (MAJC), and the first processor to implement speculative multithreading and transactional memory (ROCK – first silicon). He received his M.S. and Ph.D. degrees in Computer Sciences from UCLA and his Physics Engineering degree from Laval University in Canada. Marc is on the board of directors of QuantalRF.

Manoj Saxena

Jonathan Berte

Jonathan Berte first experimented with vision and artificial intelligence in 2009 and continued to amass expertise in applied physics and image processing.

During an early stint working with automotive software, Berte soon saw the potential of combining machine vision with robots. With an academic background in applied physics from Ghent University and a specialization in neuroscience at ETH Zürich, Berte built a solid reputation for developing custom solutions for machine vision and robotics. He started as a consultant in 2003; opportunities quickly led to a full-fledged company renamed Robovision in 2008 headquartered in Ghent, Belgium.

Robovision pioneered a software platform for AI applications in advanced image recognition and  robotics. It soon evolved into a turnkey AI solution-provider with a deep-learning platform, RVAI. Designed to be no code and user-friendly, RVAI allows people from farmers to machine operators to adapt, retrain and run models without relying on data scientists. With over 1,000+ industrial applications deployed, Robovision has enabled over €250M in sales.

Aside from Robovision, where he also serves as Chairman of the Board, Jonathan is a frequent guest lecturer at the London School of Economics, Vlerick Business School, and Ghent University on subjects focused on artificial intelligence, machine vision, and robotics.

Sakyasingha Dasgupta

Sakya is the founder and Chief Executive officer of EdgeCortix. He is an artificial intelligence (AI) and machine learning technologist, entrepreneur, and engineer with over a decade of experience in taking cutting edge AI research from ideation stage to scalable products, across different industry verticals.  He has lead teams at global companies like Microsoft and IBM Research / IBM Japan, along with national research labs like RIKEN Japan and the Max Planck Institute Germany. Previously, he helped establish and lead the technology division at lean startups in Japan and Singapore, in semiconductor technology, robotics and Fintech sectors. Sakya is the inventor of over 20 patents and has published widely on machine learning and AI with over 1,000 citations. 

Sakya holds a PhD. in Physics of Complex Systems from the Max Planck Institute in Germany, along with Masters in Artificial Intelligence from The University of Edinburgh and a Bachelors of Computer Engineering. Prior to founding EdgeCortix he completed his entrepreneurship studies from the MIT Sloan School of Management.

Anton Abrarov