About Sean Koehl
Sean Koehl (@smkoehl) is an Intel Labs Technology Evangelist working to increase awareness of Intel’s technology research and vision for our future data society. Sean joined Intel in 1998 as an engineer working on silicon optical debug and spent the next five years contributing to the design, packaging and testing of silicon photonics devices. He has spent the past decade leading projects and events to evangelize R&D on silicon photonics, many-core, visual computing, Big Data and other areas. Sean received a B.S. in Applied Physics from Purdue University and holds seven patents.
In just a few weeks, pioneering citizens across the United States will blaze new trails for social innovation in an event of unprecedented scope. Nearly one hundred teams across the country, supported by more than 20 government agencies, will come … Read more >
Far too many people have had the unfortunate experience – for a friend, relative, or themselves – of a medical diagnosis that comes too late. It is difficult to stay on top of everything that could go wrong with the … Read more >
Imagine you are an urban runner with severe allergies. It’s springtime and windy. What if you could share fitness and sensor data with others, combine that with open data from your city, and through Big Data style analytics chart a … Read more >
A few years ago I was guinea pig for an Intel Labs study. I attached three sensors to my body for a week: a pedometer on my belt, a heart rate monitor strapped around my chest, and a galvanic skin … Read more >
As more and more aspects of life become digital, humankind is evolving into a data society where information is king. Technology trends including social media, e-commerce, e-science, Big Data and Exascale Computing are driving a need to dramatically increase computational … Read more >
Satellite photography enables earth-mapping applications such as Google Earth to pull together vast amounts of imagery to provide high resolution views of the planet for a spectrum of personal, business, and government applications. However, satellites have two fundamental limitations: they … Read more >
It was just announced at the awards session at SC12 that Intel has won “best paper” for research into more efficient processing for a fundamental calculation in high performance computing, entitled “A Framework for Low-Communication 1-D FFT.” Numerous wave applications (e.g. … Read more >
As we speak, scientists are racing to apply Big Data computation techniques to help answer some of the most fundamental questions about the origin, composition, and evolution of the universe. A large part of this is the quest to understand … Read more >
Today marks a significant milestone in efficiency for high performance computing (HPC). For the first time, an Intel-based system has topped the Green500 list, an achievement made possible through the use of the new Intel® Xeon Phi™ co-processor launched this week … Read more >
Many of the most promising applications of Big Data, the vast and growing data repositories accumulating across the world, work by scouring millions or billions of interrelated things to discover interesting new relationships. The result could be a new scientific … Read more >