tag: Arizona State University

Non-Traditional Chips Gaining Steam
By Jeff Dorsch - 15 Mar, 2018 - Comments: 0

Flexible hybrid electronics are beginning to roll out in the form of medical devices, wearable electronics and even near-field communications tags in retail, setting the stage for a whole new wave of circuit design, manufacturing and packaging that reaches well beyond traditional chips. FHE devices begin with substrates made of ceramics, glass, plastic, polyimide, polymers, polysilicon, stai... » read more

What If We Had Bi-Directional RRAM?
By Katherine Derbyshire - 15 Feb, 2018 - Comments: 0

The ideal memristor device for neuromorphic computing would have linear and symmetric resistance behavior. Resistance would both increase and decrease gradually, allowing a direct correlation between the number of programming pulses and the resistance value. Real world RRAM devices, however, generally do not have these characteristics. In filamentary RRAM devices, the RESET operation can raise ... » read more

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

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