category: Research

category: Auto, Security & Edge AI

Power/Performance Bits: Sept. 11
By Jesse Allen - 11 Sep, 2018 - Comments: 0

Non-toxic photoluminescent nanoparticles Researchers from Osaka University developed a way to improve display technologies using non-toxic light-emitting nanoparticles. In trying to replace cadmium and other toxic materials used in quantum dots, scientists have turned to non-toxic nanoparticles that emit light in an efficient manner by creating I–III–VI semiconductors, such as silver in... » read more

Manufacturing Bits: Sept. 4
By Mark LaPedus - 04 Sep, 2018 - Comments: 0

Flat diamond chips Kanazawa University and the National Institute of Advanced Industrial Science and Technology (AIST) have developed a process that solves a big issue for diamond semiconductors in power applications. Researchers have developed a water vapor annealing technique that creates atomically flat diamond surfaces. This brings diamond semiconductors one step closer to becoming more... » read more

System Bits: Sept. 4
By Ann Mutschler - 04 Sep, 2018 - Comments: 0

Quantum material is both conductor, insulator University of Michigan researchers reminded that quantum materials are a type of odd substance that could be many times more efficient at conducting electricity through a mobile device like an iPhone than the commonly used conductor silicon if physicists could figure out how they work. Now, a University of Michigan physicist has taken a step clo... » read more

Power/Performance Bits: Sept. 4
By Jesse Allen - 04 Sep, 2018 - Comments: 1

Preventing battery fires Researchers from Oak Ridge National Laboratory and the University of Rochester developed a method to prevent lithium-ion batteries from catching on fire when damaged. "In a lithium-ion battery, a thin piece of plastic separates the two electrodes," said Gabriel Veith, a research lead at ORNL. "If the battery is damaged and the plastic layer fails, the electrodes can... » read more

Manufacturing Bits: Aug. 28
By Mark LaPedus - 28 Aug, 2018 - Comments: 0

Neutron scattering The Department of Energy’s Oak Ridge National Laboratory has reached what the agency says is the world’s highest power level for a neutron source. Oak Ridge has several facilities, including the so-called Spallation Neutron Source (SNS). The SNS is used in a metrology field called neutron scattering. Used in physics, chemistry, biology, and materials science, neutron ... » read more

System Bits: Aug. 28
By Ann Mutschler - 28 Aug, 2018 - Comments: 0

Characterizing quantum computers To accelerate and simplify the imposing task of diagnosing quantum computers, a Rice University computer scientist and his colleagues have proposed a method to do just this. The development of a nonconventional method as a diagnostic tool for powerful, next-generation computers that depend on the spooky actions of quantum bits — aka qubits — which are sw... » read more

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

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