- Low Power Image Recognition Challenge (LPIRC) - Registrations now open for the opportunity to compete for cash prizes. Limited travel grants available.
- Intel Universal Memory Technology - Intel has developed a new faster type of solid-state hard drive for data centers, based on a technology known as 3D XPoint.
- Google Tensor Processing Unit - TPU is ASIC chip designed for neural networks and machine learning, for use with TensorFlow software.
- Rambus Cryo DRAM - Rambus is collaborating with Microsoft researchers to develop new CMOS DRAM chips designed to operate at cryogenic temperatures of 90 K or below, for possible future use with cryogenic processors.
- Proposed DNA computer faster than conventional supercomputers - Manchester University (UK) researchers use exponential parallelism to design a non-deterministic universal Turing machine.
- IBM Research Team Demonstrates magnetic storage using single atoms - This could lead to a storage density factor of 1000x greater than current technology.
- Underwater Data Centers? - Microsoft proposes possibility of data centers under the ocean surface to improve energy efficiency.
- IBM predicts breakthroughs in next 5 years - AI, smart sensors, and medical devices.
- IEEE Computer Society predicts the future of technology - Key innovations will include machine learning, non-volatile memories, and brain-computer interfaces.
IEEE Rebooting Computing Initiative Prepares for the End of Moore’s Law
Tom Conte, professor of Computer Science at Georgia Institute of Technology and co-chair of the IEEE Rebooting Computing (IEEE RC) Initiative, discusses how the International Roadmap for Devices and Systems (IRDS), supported by IEEE RC, intends to guide the computing industry beyond the limitations of Moore’s Law.
Machine Learning Overview
Semiconductor Engineering presents an overview of recent trends in machine learning, based in part on a recent market survey. The field is undergoing a renaissance, with a variety of diverse approaches on both hardware and software levels. Systems may include heterogeneous mixtures of CPUs, GPUs, DPSs, FPGAs, and ASICs. Optimized approaches may differ between the initial learning phase and the subsequent interpretation phase (inferencing and estimation). Major current applications include autonomous vehicles and cloud-based artificial intelligence, but many other applications are starting to develop.
Going Beyond Moore’s Law
IEEE at SXSW 2017
The South-by-Southwest Conference in Austin TX, Nov. 10-19, 2017, included a conference track on “Intelligent Future”, with a wide range of sessions related to artificial intelligence and the future of technology.
This, in turn, included an IEEE-led panel discussion on “Going Beyond Moore’s Law”, featuring IEEE Rebooting Computing Co-Chair Tom Conte. This video from IEEE.tv provides clips of the panel presentation and interviews with some technology leaders in attendance.
- Rebooting Computing Video Overview
- ICRC 2017 Call for Papers
- Computing in Science and Engineering on the End of Moore's Law
- IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JXCDC)
- Arch2030 Workshop Report
- TTM 2016 Videos
- Workshop on Neuromorphic Computing
- Workshop on Beyond CMOS Technology
- Update on National Strategic Computing Initiative (NSCI)
- RC White Paper on Nanocomputers
- IEEE Computer Magazine on Rebooting Computing
- RC-ITRS Report on the Foundation of the New Computer Industry Beyond 2020