In the article “Energy-Efficient Near-Threshold Parallel Computing: The PULPv2 Cluster,” which appears in the September/October 2017 issue of IEEE Micro, the au... Read More »
Autonomous robots are actively studied for many unmanned applications. However, the heavy costs and limited battery life make it difficult to implement intellig... Read More »
Computational dreaming (CD) is inspired by the massively parallel structure and dreaming process of the human brain. CD examines previously observed input data ... Read More »
Energy-harvesting devices are one giant step closer to simpler, greener technology. They derive power from solar, thermal, wind, and kinetic energy without all ... Read More »
Researchers say that the “digital universe” will grow to more than 16 zettabytes in 2017. How much is that, you ask?
Sixteen zettabytes is equal to roughly 16 ... Read More »
As the hundreds of billions of devices connected to the Internet of Things continues to grow, researchers are reimagining the conventional architecture of cloud... Read More »
The authors introduce a methodology for synthesizing HTMs on the Automata Processor, and show its potential to be between 137 to 446 times faster than the CPU.
... Read More »
The neocortex is the most advanced and complex part of the brain, making it an area of great interest to neuroscientists and computer engineers alike.
If com... Read More »
Researchers propose an architecture template for hardware accelerators that is specifically optimized for vertex-centric graph applications with irregular memor... Read More »
This department article introduces two invited position papers by two industry experts about the challenges and opportunities in the Internet of Things.
Read a... Read More »