AI Accelerating Discovery


In early April 2018, the Materials Research Society held their spring meeting and exhibit at the Phoenix, Arizona convention center. With more than 110 symposium presentations, it was difficult to select which sessions to attend. But one forum caught my eye, “AI for Materials Development”. These days AI seems to be everywhere. As we all speculate about the impact of AI on autonomous driv... » read more

Manufacturing Bits: April 10


Higher power GaN Imec and Qromis have announced the development of a new gallium nitride (GaN) substrate technology that enables power devices at 650 volts and above. GaN is an emerging technology for power semiconductor applications. Based on a GaN-on-silicon technology, GaN-based power semis operate at 650 volts and above. In simple terms, the buffer layers between the GaN device and the ... » read more

Power/Performance Bits: Mar. 20


Proton battery prototype A team at RMIT University built a prototype rechargeable proton battery combining hydrogen fuel cells and battery-based electrical power that has the potential, with further development, to store more energy than currently-available lithium ion batteries. The working prototype proton battery uses an activated carbon electrode for solid-state storage of hydrogen with... » read more

Non-Traditional Chips Gaining Steam


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?


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


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


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


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


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


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

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