tag: University of Hong Kong

Research Bits: June 5
By Susan Rambo - 05 Jun, 2023 - Comments: 0

Improving memristors Researchers at Los Alamos National Laboratory (LANL) have demonstrated a reliable Interface-type (IT) memristive device (memristor) that shows promise as a technique for building artificial synapses in neuromorphic computing. The team made its memristor — a component that which combines memory and programming functions — using a simple Au/Nb-doped SrTiO3 (Nb:STO) Sc... » read more

Technical Paper Round-Up: June 8
By Linda Christensen - 08 Jun, 2022 - Comments: 0

  New technical papers added to Semiconductor Engineering’s library this week. [table id=32 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a ... » read more

Differentiable Analog Nonvolatile CAM (dCAM) Using Memristors
By Technical Paper Link - 03 Jun, 2022 - Comments: 0

Technical paper titled "Differentiable Content Addressable Memory with Memristors" from researchers at Hewlett Packard Labs and University of Hong Kong. Abstract "Memristors, Flash, and related nonvolatile analog device technologies offer in-memory computing structures operating in the analog domain, such as accelerating linear matrix operations in array structures. These take advantage of ... » read more

Manufacturing Bits: May 10
By Mark LaPedus - 10 May, 2021 - Comments: 0

Synaptic transistors The University of Hong Kong and Northwestern University have developed an organic electrochemical synaptic transistor, a technology that could one day process and store information like the human brain. Researchers have demonstrated that the transistor can mimic the synapses in the human brain. It can build on memories to learn over time, according to researchers. Th... » read more

Power/Performance Bits: April 8
By Jesse Allen - 08 Apr, 2019 - Comments: 0

Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Power/Performance Bits: May 22
By Jesse Allen - 22 May, 2018 - Comments: 0

Sensing without battery power Engineers at the National University of Singapore developed an IoT-focused sensor chip that can continue operating when its battery runs out of energy. The chip, BATLESS, uses a power management technique that allows it to self-start and continue to function under dim light without any battery assistance. The chip can operate in two different modes: minimum-ene... » read more

System Bits: Sept. 2
By Ann Mutschler - 02 Sep, 2014 - Comments: 0

Thinnest semiconductor A team of researchers from the University of Washington, the University of Hong Kong and the University of Warwick have demonstrated that two single-layer semiconductor materials can be connected in an atomically seamless fashion known as a heterojunction, which they expect could be the basis for next-generation flexible and transparent computing, better light-emitting d... » read more

Manufacturing Bits: Aug. 6
By Ed Sperling - 06 Aug, 2013 - Comments: 0

Printing Ears Engineered cartilage is an option for auricular reconstruction. Enabling the development of engineered cartilage, Massachusetts General Hospital has fabricated a bioartificial ear using a 3D printer technology. The ear looks and mechanically behaves like a human one. Researchers used a titanium wire framework within a composite collagen ear-shaped scaffold to maintain the dime... » read more

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