Thursday, Jan. 24, 2013
Maxwell Dworkin G115, 33 Oxford St
Cambridge MA 02138
This event explored some of the extraordinary entrepreneurial opportunities on the frontier of computational science. Participants heard from and spoke with innovators seizing these opportunities.
Computational Science Ventures is organized by Alexander Wissner-Gross, a scientist, inventor and entrepreneur who is Institute Fellow at IACS.
General Manager of Watson Commercialization at IBM
IBM Watson represents a new class of computing technology referred to as "cognitive systems." Dan Cerutti will talk about the origin of the Watson Jeopardy! project, IBM Watson commercialization efforts and where the Watson technologies might take computing. Dan will also discuss bringing breakthrough products to market in both large and small companies.
Visualization—The Art of Science
Scientific data visualization is one of the most interesting and challenging fields at the intersection of science and technology. Rapid advances in digital instrumentation and computation technologies produce massive amounts of scientific data for analysis. Advances in the science and technology of computing have engendered unprecedented improvements in scientific, biomedical, and engineering research; defense and national security; and industrial innovation. Continuing and accelerating these advancements require people to comprehend vast amounts of data and information produced from a multitude of sources.
General Manager and Technical Director, Analog Devices Research Labs
Live Poultry Fresh Killed, Scientific Startups, and the Physics of Computation
Statistical machine learning is currently enjoying a renaissance in "big data" analysis and prediction. At the current rate of progress, over the next 15-20 years artificial computing systems may grow to meet or exceed the capabilities of human intelligence on many sophisticated sensory, cognitive, and even design, decision making and social tasks. Sometimes referred to as the singularity, the full manifestation of machine intelligence is a tantalizing possibility, but it will likely require the development and commercialization of significant new disruptive technologies. Moore's Law for CMOS is nearing its end, and conventional software and hardware architectures
Ben Vigoda will talk about the challenges and experiences of growing his PhD research at MIT into a startup company and eventually into a new corporate research labs at Analog Devices, Inc. focused on the business and science of machine learning and semantic signal processing implemented natively in semiconductor circuits.
Session Chair: Alexander Wissner-Gross
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