category: Research

category: Auto, Security & Edge AI

Manufacturing Bits: Aug. 22
By Mark LaPedus - 22 Aug, 2017 - Comments: 0

Weighing protons The Max Planck Institute and Riken have conducted the world’s most precise measurement of the mass of a proton. Based on an experiment, researchers determined that the mass of a proton is 1.007276466583(15)(29) atomic mass units. This is three times more precise than the previous measurements from others. The numbers in parentheses refer to the statistical and systematic ... » read more

System Bits: Aug. 22
By Ann Mutschler - 22 Aug, 2017 - Comments: 0

Bioimaging technique tracks multiple in vivo interactions To make it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue – such as an organ or a small animal — Rensselaer Polytechnic Institute researchers have created an approach to optical imaging that could have applications in medical diagnosis, guided surgery, or pre-clinical dr... » read more

Power/Performance Bits: Aug. 22
By Jesse Allen - 22 Aug, 2017 - Comments: 0

USB data leakage Researchers from the University of Adelaide found that USB connections are vulnerable to information leakage. In testing more than 50 different computers and external USB hubs, they found that over 90% of them leaked information to an external USB device. "USB-connected devices include keyboards, cardswipers and fingerprint readers which often send sensitive information to ... » read more

Manufacturing Bits: Aug. 15
By Mark LaPedus - 15 Aug, 2017 - Comments: 0

Self-collapse lithography The University of California at Los Angeles (UCLA) has developed a technology called self-collapse lithography. The technology, reported in the journal Nano Letters, resembles the combination of nanoimprint, selective removal and a chemical lift-off process. More specifically, though, the technology provides insights into patterning using a chemical lift-off lith... » read more

System Bits: Aug. 15
By Ann Mutschler - 15 Aug, 2017 - Comments: 0

Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

Power/Performance Bits: Aug. 15
By Jesse Allen - 15 Aug, 2017 - Comments: 0

Solar sunglasses Researchers at the Karlsruhe Institute of Technology (KIT) developed sunglasses with colored, semitransparent organic solar cells applied onto the lenses capable of supplying a microprocessor and two displays with electric power. The solar cell lenses, perfectly fitted to a commercial frame, have a thickness of approx. 1.6 millimeters and weigh about six grams, just like th... » read more

Manufacturing Bits: Aug. 8
By Mark LaPedus - 08 Aug, 2017 - Comments: 0

Ferroelectric films Ferroelectric RAM (FRAM) is creating a buzz again. For years, FRAMs have been shipping for embedded applications, although the technology has taken a backseat to MRAM, phase-change and ReRAM. Using a ferroelectric capacitor to store data, FRAM is a nonvolatile memory with unlimited endurance. FRAM is faster than EEPROM and flash. FRAM performs an over-write function in ... » read more

System Bits: Aug. 8
By Ann Mutschler - 08 Aug, 2017 - Comments: 0

Improving robot vision, virtual reality, self-driving cars In order to generate information-rich images and video frames that will enable robots to better navigate the world and understand certain aspects of their environment, such as object distance and surface texture, engineers at Stanford University and the University of California San Diego have developed a camera that generates 4D images... » read more

Power/Performance Bits: Aug. 8
By Jesse Allen - 08 Aug, 2017 - Comments: 0

Energy-efficient neural nets Researchers from MIT developed new techniques for more energy-efficient neural networks, offering as much as a 73% reduction in power consumption over the standard implementation of neural networks, and as much as a 43% reduction over the best previous method for paring the networks down. First, they developed an analytic method that can determine how much power... » read more

Manufacturing Bits: Aug. 1
By Mark LaPedus - 01 Aug, 2017 - Comments: 0

Magnetic chips HRL Laboratories—an R&D venture between Boeing and General Motors—has been awarded a contract to develop a new class of magnetic integrated components. HRL has received the award from the Defense Advanced Research Project Agency (DARPA) under the Magnetic, Miniaturized, and Monolithically Integrated Components (M3IC) program. The goal is to develop new magnetic materials... » read more

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