tag: University of California Berkeley

Research Bits: Dec. 20
By Susan Rambo - 20 Dec, 2022 - Comments: 0

Patch tracks blood in deep tissue A skin-worn photoacoustic patch developed by a research team at the University of California San Diego is equipped with arrays of laser diodes and piezoelectric transducers to detect biomolecules in deep tissues, which usually would require a magnetic resonance imaging (MRI) and X-ray-computed tomography. The patch may help doctors tract hemoglobin in real tim... » read more

Research Bits: Nov. 15
By Jesse Allen - 15 Nov, 2022 - Comments: 0

Low temperature 3D bonding Scientists from Osaka University developed a new method for the direct three-dimensional bonding of copper electrodes using silver layers. The method works at low temperatures and does not require external pressure. "Our process can be performed under gentle conditions, at relatively low temperatures and without added pressure, but the bonds were able to withstand... » read more

Research Bits: Oct. 4
By Jesse Allen - 04 Oct, 2022 - Comments: 0

2D electrode for ultra-thin semiconductors Researchers from the Korea Institute of Science and Technology (KIST), Japan's National Institute for Materials Science, and Kunsan National University designed two-dimensional semiconductor-based electronic and logic devices, with electrical properties that can be selectively controlled through a new 2D electrode material, chlorine-doped tin diseleni... » read more

Research Bits: Sept. 20
By Jesse Allen - 20 Sep, 2022 - Comments: 0

Multi-mode memristors Researchers from ETH Zurich, the University of Zurich, and Empa built a new memristor that can operate in multiple modes and could potentially be used to mimic neurons in more applications. “There are different operation modes for memristors, and it is advantageous to be able to use all these modes depending on an artificial neural network’s architecture,” said R... » read more

Research Bits: July 11
By Jesse Allen - 11 Jul, 2022 - Comments: 0

Modeling ALE Scientists at U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), in coordination with Lam Research, modeled atomic layer etching (ALE) for semiconductor fabrication. “This would be one little piece in the whole process,” said David Graves, associate laboratory director for low-temperature plasma surface interactions at PPPL and a professor in th... » read more

Power/Performance Bits: Aug. 24
By Jesse Allen - 24 Aug, 2021 - Comments: 0

Low power AI Engineers at the Swiss Center for Electronics and Microtechnology (CSEM) designed an SoC for edge AI applications that can run on solar power or a small battery. The SoC consists of an ASIC chip with RISC-V processor developed at CSEM along with two tightly coupled machine-learning accelerators: one for face detection, for example, and one for classification. The first is a bin... » read more

Power/Performance Bits: June 7
By Jesse Allen - 07 Jun, 2021 - Comments: 0

Commercializing photonic MEMS Researchers from the University of California Berkeley, Daegu Gyeongbuk Institute of Science & Technology, SUSS MicroOptics, TSI Semiconductors, Gwangju Institute of Science and Technology, KAIST, Ecole Polytechnique Fédérale de Lausanne (EPFL), and Korea Polytechnic University demonstrated a path for commercial fabrication of photonic MEMS. Photonic MEMS... » read more

Power/Performance Bits: May 10
By Jesse Allen - 10 May, 2021 - Comments: 0

Probabilistic bit Researchers at Tohoku University are working on building probabilistic computers by developing a spintronics-based probabilistic bit (p-bit). The researchers utilized magnetic tunnel junctions (MTJs). Most commonly used in MRAM technology, where thermal fluctuation typically poses a threat to the stable storage of information, in this case it was a benefit. The p-bits f... » read more

Power/Performance Bits: April 20
By Jesse Allen - 20 Apr, 2021 - Comments: 0

Multiplexing twisted light Researchers from University of California San Diego and University of California Berkeley found a way to multiplex light by using discrete twisting laser beams from antennas made up of concentric rings. "It's the first time that lasers producing twisted light have been directly multiplexed," said Boubacar Kanté, an Associate Professor at UC Berkeley's Department ... » read more

Power/Performance Bits: Jan. 26
By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

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