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

Manufacturing Bits: April 28


Gate-all-around reliability The 2020 IEEE International Reliability Physics Symposium (IRPS) will kick off this week, this time as a virtual event. IRPS is a conference that focuses on the latest research in microelectronics reliability. The event starts off with keynotes from Infineon, Intel and Texas Instruments. IRPS also involves a multitude of papers and presentations. On the logi... » read more

Power/Performance Bits: April 28


Flat microwave reflector Researchers from Los Alamos National Laboratory developed a new flat reflector for microwaves that could improve communications while providing a better form factor. It also breaks reciprocity, effectively turning it into a one-way mirror. The flat reflector can be reconfigured on the fly electronically, allowing it to be used for beam steering, customized focusing,... » read more

Manufacturing Bits: April 21


Memristors reappear The University of Massachusetts Amherst has taken a step towards of the realization of neuromorphic computing--it has devised bio-voltage memristors based on protein nanowires. In neuromorphic computing, the idea is to bring the memory closer to the processing tasks to speed up a system. For this, the industry is attempting to replicate the brain in silicon. The goal is ... » read more

Power/Performance Bits: April 21


Focus-free lens Researchers from the University of Utah developed a new lens that doesn't require focusing. They present it as an alternative to the multiple lenses common in smartphone cameras. "Our flat lenses can drastically reduce the weight, complexity and cost of cameras and other imaging systems, while increasing their functionality," said research team leader Rajesh Menon from the U... » read more

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