Inventing New Information Technologies for Big Data
The era of Big Data has arrived. Today industry, science and government have access to unprecedented amounts and types of data, including real-time data from sources such as social media, sensor networks, and scientific instruments from genome sequencers to telescopes and satellites. If we can tap into it, Big Data has the potential to solve big societal problems – in public health, medicine, science, agriculture, engineering and more. Unfortunately, these data collections are growing too fast, too vast and becoming too complex for traditional Information Technology to handle.
Meet the Intel Science and Technology Center (ISTC) for Big Data. Our mission is to produce new data management systems and compute architectures for Big Data. Together, these systems will help people process data that exceeds the scale, rate, or sophistication of current data processing systems. We’ll also demonstrate the effectiveness of these solutions on real applications in science, engineering, and medicine, making our results broadly available through open sourcing.
Our center includes leading researchers from Brown, MIT, Portland State, Stanford, University of Tennessee, University of California at Santa Barbara, and University of Washington. Our researchers are experts in such areas as data-intensive scalable computing, machine learning, computer architecture, visualization, and the sciences (genomics, medicine, oceanography, imaging, and remote sensing).
We’re focused on five major research themes:
- Big Data Databases and Analytics
- Big Data Math and Algorithms
- Big Data Visualization
- Big Data Architecture
- Streaming Big Data
The center is based at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, and is primarily affiliated with the Intel Parallel Computing Lab.
About the ISTC Program
The ISTC for Big Data is one of a series of research collaborations that Intel is establishing with U.S. universities to identify and prototype revolutionary technology opportunities. The centers are designed to encourage closer collaboration among academic thought leaders in essential technology areas.