tag: University of Münster

Research Bits: Dec. 5
By Jesse Allen - 05 Dec, 2022 - Comments: 0

Protonic programmable resistors for AI Researchers from the Massachusetts Institute of Technology (MIT) developed an analog deep learning processor based on protonic programmable resistors arranged in an array. In the processor, increasing and decreasing the electrical conductance of protonic resistors enables analog machine learning. The conductance is controlled by the movement of protons... » read more

Power/Performance Bits: Feb. 23
By Jesse Allen - 23 Feb, 2021 - Comments: 0

Photonic AI accelerator There are now many processors and accelerators focused on speeding up neural network performance, but researchers at the University of Münster, University of Oxford, Swiss Federal Institute of Technology Lausanne (EPFL), IBM Research Europe, and University of Exeter say AI processing could happen even faster with the use of photonic tensor processors that can handle mu... » read more

Power/Performance Bits: Mar. 11
By Jesse Allen - 11 Mar, 2019 - Comments: 0

Reading qubits faster Researchers at Aalto University and VTT Technical Research Centre of Finland propose a faster way to read information from qubits, the building blocks of quantum computers. Currently, they are extremely sensitive to disruption even in cryogenic environments, holding quantum information for less than a millisecond. In the method now used to read information from a qubit... » read more

Power/Performance Bits: Jan. 14
By Jesse Allen - 14 Jan, 2019 - Comments: 0

Optical memory Researchers at the University of Oxford, University of Exeter, and University of Münster propose an all-optical memory cell that can store more optical data, 5 bits, in a smaller space than was previously possible on-chip. The optical memory cell uses light to encode information in the phase change material Ge2Sb2Te5. A laser causes the material to change between ordered and... » read more

System Bits: Oct. 3
By Ann Mutschler - 03 Oct, 2017 - Comments: 0

Polariton graphs In a development that a team of researchers from the UK and Russia say could eventually surpass the capabilities of even the most powerful supercomputers, a type of ‘magic dust’ — which combines light and matter — can be used to solve complex problems. Hailing from the University of Cambridge, University of Southampton and Cardiff University in the UK and the Skolk... » read more

Power/Performance Bits: Sept. 22
By Jesse Allen - 22 Sep, 2015 - Comments: 1

Photonic memories A team of researchers from Oxford University, the University of Münster, the Karlsruhe Institute of Technology, and the University of Exeter produced the first all-photonic nonvolatile memory chip. The new device uses the phase-change material Ge2Sb2Te5 (GST), used in rewritable CDs and DVDs, to store data. This material can be made to assume an amorphous state, like glass... » read more

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