category: Research

category: IoT, Security & Automotive

Power/Performance Bits: Aug. 28
By Jesse Allen - 28 Aug, 2018 - Comments: 0

Multilayer stretchable electronics Researchers at UC San Diego, the University of Electronic Science and Technology of China, and the Air Force Research Laboratory developed an approach to creating stacked, stretchable electronics with complex functionality. "Rigid electronics can offer a lot of functionality on a small footprint--they can easily be manufactured with as many as 50 layers of... » read more

Manufacturing Bits: Aug. 21
By Mark LaPedus - 21 Aug, 2018 - Comments: 1

World’s smallest transistor The Karlsruhe Institute of Technology (KIT) has developed what researchers say is the world’s smallest transistor. Researchers have devised a single-atom transistor. The transistor switches an electrical current via a single atom, which resides in a gel electrolyte. The device also works at room temperature. While others have developed single-atom transist... » read more

System Bits: Aug. 21
By Ann Mutschler - 21 Aug, 2018 - Comments: 0

Two types of computers create faster, less energy-intensive image processor for autonomous cars, security cameras, medical devices Stanford University researchers reminded that the image recognition technology that underlies today’s autonomous cars and aerial drones depends on artificial intelligence. These are the computers that essentially teach themselves to recognize objects like a dog, ... » read more

Power/Performance Bits: Aug. 21
By Jesse Allen - 21 Aug, 2018 - Comments: 0

Physical neural network Engineers at UCLA built a physical artificial neural network capable of identifying objects as light passes through a series of 3D printed polymer layers. Called a "diffractive deep neural network," it uses the light bouncing from the object itself to identify that object, a process that consumes no energy and is faster than traditional computer-based methods of imag... » read more

Manufacturing Bits: Aug. 14
By Mark LaPedus - 14 Aug, 2018 - Comments: 0

Strange metals The National High Magnetic Field Laboratory (National MagLab) has unraveled the behavior in a new class of high-temperature superconductor (HTS) materials called cuprates. Cuprates are sometimes referred as a "strange" or "bad" metal. They don't conduct electricity well despite being a superconducting material. Superconductors are devices that have zero electrical resistance,... » read more

System Bits: Aug. 14
By Ann Mutschler - 14 Aug, 2018 - Comments: 0

Machine-learning system determines the fewest, smallest doses that could still shrink brain tumors In an effort to improve the quality of life for patients by reducing toxic chemotherapy and radiotherapy dosing for glioblastoma, the most aggressive form of brain cancer, MIT researchers are employing novel machine-learning techniques. According to the team, glioblastoma is a malignant tumor ... » read more

Power/Performance Bits: Aug. 14
By Jesse Allen - 14 Aug, 2018 - Comments: 1

All-optical logic Researchers from Aalto University developed multifunction all-optical logic gates using a network of nanowires. To build the nanostructure, the team assembled two different semiconductor nanowires, indium phosphide and aluminum gallium arsenide. The nanowires have a unique one-dimensional structure, which allows them to function like nanosized antennas for light. Using ... » read more

Manufacturing Bits: Aug. 7
By Mark LaPedus - 07 Aug, 2018 - Comments: 0

DNA ROMs The National Science Foundation (NSF) and the Semiconductor Research Corp. (SRC) are investing $12 million to develop a new class of memories and other technologies, such as DNA-based read-only memory (ROM), nucleic acid memory (NAM) and neural networks based on yeast cells. The effort is called the Semiconductor Synthetic Biology for Information Processing and Storage Technologies... » read more

System Bits: Aug. 7
By Ann Mutschler - 07 Aug, 2018 - Comments: 0

ML leverages existing hospital patient data to detect trouble Focusing on emergency and critical care patients, a University of Michigan spinout, Fifth Eye, has developed a system that combines a machine learning algorithm with signal processing to monitor the autonomic nervous system of hospital patients and interprets the data every two minutes, which can sometimes be almost two days faster ... » read more

Power/Performance Bits: Aug. 7
By Jesse Allen - 07 Aug, 2018 - Comments: 0

Optical neural network Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks. Using light would eliminate interference due to electrical charge and the signals would travel faster and farther, said the researchers. "... » read more

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