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Nonvolatile memory devices fabricated at a complementary metal–oxide–semiconductor (CMOS)-compatible temperature

High-performance nonvolatile memory devices integrated with ferroelectric Aluminum Scandium Nitride (AlScN) films that can be directly deposited on the silicon at low temperature (≤ 350 °C) Problem: Strong demand for high-density non-volatile memory (NVM) devices with low power consumption is being driven by new applications of non-von Neumann...

Published: 11/2/2020

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SPREAD: Sound propagation and perception for autonomous agents in dynamic environments

Technology Overview: The invention is a new sound propagation and perception model for virtual worlds (e.g. computer games) with which:sound propagating in surroundings environment; andsound perceived by virtual agents (e.g. players and non-player characters in the game) can be simulated closely to the real world. Rather than using traditional signal...

Published: 3/20/2020

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Diamond-like carbon coating for Heat Assisted Magnetic Recording (HAMR)

New materials to make advanced recording technology possibleProblem: Heat-Assisted Magnetic Recording (HAMR) could provide hard drive storage densities in the TB/in^2 range, as compared to today’s GB/in^2 capability. HAMR operates by heating the disk with a laser, which momentarily changes the storage medium’s magnetic coercivity, allowing...

Published: 3/20/2020

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High throughput identification of transcriptome wide RNA-protein interactions

RNAase-mediated protein footprint sequencing to reveal protein binding sites on transcriptome-wide scaleTechnology Overview: The Gregory Lab has developed a high-throughput, ribonuclease-mediated protein sequencing approach termed Protein Interaction Profile sequencing (PIP-seq). PIP-seq identifies RNA-protein interaction sites within both unprocessed...

Published: 3/19/2020

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Classifying high-frequency oscillations in physiological recordings

Method for automatic and unsupervised classification of high-frequency oscillations in physiological recordings. Problem: Automatic detection and classification of high frequency oscillations (HFO) data for use in clinical diagnosis and therapy has been limited. Currently, researchers visually inspect for high frequency oscillations. Solution:...

Published: 3/18/2020

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Image segmentation and computer vision with RGB-D cameras

Utilizing off-the-shelf hardware for advanced 3D vision Problem: Robots and autonomous vehicles need to identify objects to interact with their environment and avoid obstacles. Distinguishing a wall from a door or seeing an object placed against a similarly-colored background is simple for a human, but can be difficult for a machine. Various techniques...

Published: 3/17/2020

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Nanowire phase change memory

Problem: Phase Change Memory (PCM) is a leading contender to replace flash memory. In PCM devices, a material is heated to undergo glass transition, changing back and forth between the amorphous and crystalline state. However, existing PCM devices have experienced problems with reliability and threshold voltage drift. In order to make commercially viable...

Published: 3/17/2020

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Dual beam RF MEMS switches

Problem: RF MEMS switches are an emerging solution for wireless technology, but these devices typically require large switching voltages and have problems with long term reliability. Solution: A new piezoelectric RF MEMS switch design from the University of Pennsylvania could overcome many of the challenges of electrostatic switches. This design...

Published: 3/11/2020

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Single-chip multiple-frequency MEMS resonators

Problem: The increasing use of networked devices is driving a need for smaller, more efficient wireless components. Making RF MEMS filters smaller and easier to integrate with CMOS on-chip fabrication would allow for cost and size savings. Solution: A new resonator design from the University of Pennsylvania allows the co-fabrication of multiple...

Published: 3/9/2020

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Smart camera networks and target tracking

Problem: The rise of small, networked devices means that cameras are now cheaper and easier to deploy than ever before. A network of cameras could track objects by establishing where targets are moving in each camera’s field of view. However, without a way to know where cameras and their targets are in relation to each other, it is difficult...

Published: 3/5/2020

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