tag: Arizona State University

What’s Next In Neuromorphic Computing
By Katherine Derbyshire - 15 Feb, 2018 - Comments: 2

To integrate devices into functioning systems, it's necessary to consider what those systems are actually supposed to do. Regardless of the application, [getkc id="305" kc_name="machine learning"] tasks involve a training phase and an inference phase. In the training phase, the system is presented with a large dataset and learns how to "correctly" analyze it. In supervised learning, the data... » read more

System Bits: Jan. 23
By Ann Mutschler - 23 Jan, 2018 - Comments: 0

Artificial synapse for “brain-on-a-chip” portable AI devices In the emerging field of neuromorphic computing, researchers are attempting to design computer chips that work like the human brain, which, instead of carrying out computations based on binary, on/off signaling like digital chips do today, the elements of a brain-on-a-chip would work in an analog fashion, exchanging a gradient of... » read more

System Bits: Aug. 15
By Ann Mutschler - 15 Aug, 2017 - Comments: 0

Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

Developing A Life-Saving Innovation
By Nguyen Thanh Truc - 08 May, 2017 - Comments: 0

This competition is part of a partnership between NI, Arizona State University (ASU) and the United States Agency for International Development (USAID) focused on scaling and delivering industry-ready skills to thousands of future engineers across Vietnam. Ideas that come from the lab will be just ideas if you cannot bring that knowledge to the community. Our idea is driven by the reality o... » read more

Power/Performance Bits: March 14
By Jesse Allen - 14 Mar, 2017 - Comments: 0

Magnetic storage on one atom Scientists at IBM Research created a single-atom magnet and were able to store one bit of data on it, making it the world's smallest magnetic storage device. Using electrical current, the researchers showed that two magnetic atoms could be written and read independently even when they were separated by just one nanometer. This tight spacing could, the team hop... » read more

Power/Performance Bits: Nov. 23
By Jesse Allen - 23 Nov, 2016 - Comments: 0

Increasing lithium battery density Researchers at Columbia University developed a new method to increase the energy density of lithium batteries using a trilayer structure that is stable in ambient air. "When lithium batteries are charged the first time, they lose anywhere from 5-20% energy in that first cycle," said Yuan Yang, assistant professor of materials science and engineering at C... » read more

System Bits: April 5
By Ann Mutschler - 05 Apr, 2016 - Comments: 0

Encoding electrons with valleytronics Researchers at the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) have developed a new type of electronics that could lead to faster and more efficient computer logic systems and data storage chips in next-generation devices that they refer to as “valleytronics.” Specifically, the team has experimentally demonstra... » read more

Power/Performance Bits: June 23
By Jesse Allen - 23 Jun, 2015 - Comments: 0

Printing 3D circuits from wood Researchers at Chalmers created three-dimensional objects made entirely of cellulose for the first time with the help of a 3D-bioprinter. They also added carbon nanotubes to create electrically conductive material. The difficulty using cellulose derived from wood in additive manufacturing is that cellulose does not melt when heated. Therefore, the 3D printer... » read more

Drill Down: Embedded NVM Technology
By Ernest Worthman - 02 Apr, 2015 - Comments: 0

Many of the next-generation devices that will be seen on the IoT/E will have power, footprint, and electronic constraints as never before. Electronic flash memories (eFLASH), and their derivatives are seen as a realistic solution to many of these design constraints for small form factor and simple IoE devices. “NVM will be very important for the IoE from the perspective of saving power," ... » read more

Power/Performance Bits: March 10
By Jesse Allen - 10 Mar, 2015 - Comments: 0

Simulated memories Resistance-switching cells hold promise as a faster, higher capacity, lower power replacement for current non-volatile memory. Yet "the mechanisms that govern their remarkable properties have been poorly understood, limiting our ability to assess the ultimate performance and potential for commercialization," said Alejandro Strachan, professor of materials engineering at Pu... » read more

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