Manufacturing Bits: June 2


EUV lithography in outer space The U.S. space program made history on May 31, 2020, when NASA astronauts Robert Behnken and Douglas Hurley aboard SpaceX’s Crew Dragon spacecraft arrived at the International Space Station (ISS). This is the first time a commercial spacecraft has delivered astronauts to the ISS. The ISS serves as a research lab for companies, government agencies and universiti... » read more

Power/Performance Bits: June 2


Neuromorphic memristor Researchers at the University of Massachusetts Amherst used protein nanowires to create neuromorphic memristors capable of running at extremely low voltage. A challenge to neuromorphic computing is mimicking the low voltage at which the brain operates: it sends signals between neurons at around 80 millivolts. Jun Yao, an electrical and computer engineering researcher at ... » read more

Manufacturing Bits: May 26


7-level nanosheets The 2020 Symposia on VLSI Technology & Circuits for the first time will be held as a virtual conference. The event, to be held from June 15-18, is organized around the theme “The Next 40 Years of VLSI for Ubiquitous Intelligence.” Among the papers at the event include advanced nanosheet transistors, 3D stacked memory devices and even an artificial iris. At the ... » read more

Power/Performance Bits: May 26


Warmer quantum computing Researchers at the University of New South Wales Sydney, Université de Sherbrooke, Aalto University, and Keio University developed a proof-of-concept quantum processor unit cell on a silicon chip that works at 1.5 Kelvin – 15 times warmer than current chip-based technology that uses superconducting qubits. "This is still very cold, but is a temperature that can b... » read more

Manufacturing Bits: May 19


Virus simulations Using an advanced building simulator and testbed, Lawrence Berkeley National Laboratory (Berkeley Lab) is launching a study of the risk of airborne transmission of viruses in buildings. Researchers will also explore the ways to mitigate those risks. The experiments will take place in Berkeley Lab’s FLEXLAB, which is an advanced building simulator. Used by builders, archi... » read more

Power/Performance Bits: May 19


Neuromorphic magnetic nanowires Researchers from the University of Texas at Austin, University of Texas at Dallas, and Sandia National Laboratory propose a neuromorphic computing method using magnetic components. The team says this approach can cut the energy cost of training neural networks. "Right now, the methods for training your neural networks are very energy-intensive," said Jean Ann... » read more

Manufacturing Bits: May 11


Covid-19 data mining Using machine learning and other technologies, Lawrence Berkeley National Laboratory (Berkeley Lab) has developed a data text-mining tool to help synthesize a growing amount of scientific literature on Covid-19. Each day, some 200 new journal articles are being published on the coronavirus alone, according to Berkeley Lab. Berkeley Lab’s data mining tool, which is liv... » read more

Power/Performance Bits: May 11


Light-emitting silicon Researchers from the Eindhoven University of Technology, Friedrich-Schiller-Universität Jena, Johannes Kepler University, and Technische Universität München developed a silicon germanium alloy that can emit light, paving the way for a silicon laser that could be integrated for on-chip and chip-to-chip communication. Bulk silicon is extremely inefficient at emitting... » read more

Manufacturing Bits: May 5


Spiking neural network radar chip Imec has developed what the R&D organization says is the world’s first chip that processes radar signals using a spiking recurrent neural network. Initially, the chip from Imec is designed for low-power, anti-collision radar systems in drones. Neural networks are used in the field of machine learning. A subset of AI, machine learning utilizes a neu... » read more

Power/Performance Bits: May 5


CMOS-compatible laser Researchers at Forschungszentrum Jülich, Center for Nanoscience and Nanotechnology (C2N), STMicroelectronics, and CEA-Leti Grenoble developed a CMOS-compatible laser for optical data transfer. Comprised of germanium and tin, the efficiency is comparable with conventional GaAs semiconductor lasers on Si. Optical communications provide much higher data rates, and are be... » read more

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