category: Research

category: Auto, Security & Edge AI

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

Manufacturing Bits: July 31
By Mark LaPedus - 31 Jul, 2018 - Comments: 0

Florida R&D fab A new microelectronics R&D initiative in Florida is expanding its operations and readying its new 200mm fab facility. The initiative, called BRIDG, describes itself as a non-profit, public-private partnership. BRIDG is basically an R&D microelectronics facility, which is focusing on the development of select technologies, such as photonics, sensors, imagers and 2.5D/3D pac... » read more

System Bits: July 31
By Ann Mutschler - 31 Jul, 2018 - Comments: 0

Computers that perceive human emotion As part of the growing field of “affective computing,” MIT researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. Affective computing uses robots and computers to analyze facial expressions, interpret emotions, and respond accordingly. Applications include, for ... » read more

Power/Performance Bits: July 31
By Jesse Allen - 31 Jul, 2018 - Comments: 0

Training optical neural networks Researchers from Stanford University used an optical chip to train an artificial neural network, a step that could lead to faster, more efficient AI tasks. Although optical neural networks have been recently demonstrated, the training step was performed using a model on a traditional digital computer and the final settings were then imported into the optical... » read more

Manufacturing Bits: July 24
By Mark LaPedus - 24 Jul, 2018 - Comments: 0

Fast rotors Purdue University and others have developed what researchers claim is the world’s fastest man-made rotor. Researchers devised a tiny dumbbell from silica. Then, the object was levitated in a vacuum using a laser, thereby creating a spinning effect. This, in turn, enabled more than 60 billion revolutions per minute or more than 100,000 times faster than a dental drill. The t... » read more

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