ICT and Media
43 Results were found on Technologies
Sub Category Name
Accelerated Brain MRI
MRI has become an invaluable tool for diagnostic brain imaging, providing unrivalled qualitative and quantitative information to the radiologist. However, due to long scanning times and capital costs, access to MRI lags behind CT. Typical brain protocols, lasting between 20-50 minutes per patient, set a clear limitation to patient experience, scanner throughput and operation profitability, […] Read More >
Caches With Many Ways: 16-way Associativity for the Price of 2-way Associativity
Cache design must meet many conflicting demands: high hit rates, low cost, low power, low latency and high throughput. We propose a novel cache design for 16-way associativity with cost and power consumption like 2-way associativity. UNMET NEED We propose a novel cache design with the following features: • High effective cache capacity • Misses […] Read More >
Hardware Accelerators for Data Structures
We present the first parallel architecture for a dynamic data-structure for approximate membership (i.e., a filter). The dynamic filter supports insertions, deletions, and approximate membership queries. Our architecture borrows techniques from PRAM emulation to parallelize filters based on two levels of fingerprints. A key component in the architecture is a special-purpose wide-word processor we designed […] Read More >
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks
Beneš/CLOS architectures are the common scalable interconnection networks widely used in backbone routers, data centers, on-chip networks, multi-processor systems, and parallel computers. Recent advances in Silicon Photonic technology, especially MZI technology, had made Beneš networks a very attractive scalable architecture for optical circuit switches. UNMET NEED Our solutions enable the outstanding improvement of the ability […] Read More >
A Dedicated Hardware for Accelerating Whole Cell Simulations of mRNA Translation for Various Biotechnological Pharma Applications
Gene expression (is a fundamental process defining all type of life where information encoded in the genetic material is used for generating proteins. Gene expression is a multi-steps process mediated by millions of intracellular biological machines (e.g. RNA polymerases, transcription factors, ribosomes, tRNAs, miRNAs), with complex interactions among them. Recently, intracellular biophysical simulations of gene […] Read More >
Deep Cell-Type Deconvolution From Bulk Gene Expression Data
It is becoming clear that bulk gene expression measurements represent an average over very different cells. Elucidating the expression and abundance of each of the encompassed cells is key to disease understanding and precision medicine approaches. A first step in any such deconvolution is the inference of cell type abundances in the given mixture. To […] Read More >
Using Eye-Tracking in VR to Identify Subject Preferences to Optimize Personalization
The implementation of virtual reality (VR) has been spreading in many research fields and healthcare applications. In order to better personalize the presented content, there is a need to identify the subjective experience at each time point. Previous studies with eye-tracking (ET) have demonstrated its links to preferences; therefore, collecting ET data during VR experiences […] Read More >
Image Processing – Non-Local Image Dehazing
Prof. Shai Avidan Tel Aviv University, School of Electrical EngineeringHaze limits visibility and reduces image contrast in outdoor images. The degradation is different for every pixel and depends on the distance of the scene point from the camera. This dependency is expressed in the transmission coefficients, that control the scene attenuation and amount of haze […] Read More >
Online Training of Stereo Self-Calibration usingMonocular Depth Estimation
Stereo imaging is the most common passive method for producing reliable depth maps. Calibration is a crucial step for every stereo-based system, and despite all the advancements in the field, most calibrations are still done by the same tedious method using a checkerboard target. Monocular-based depth estimation methods do not require extrinsic calibration but generally […] Read More >
Anomaly Detection in Video
We propose a new method for anomaly detection of human actions. Our method works directly on human pose graphs that can be computed from an input video sequence. This makes the analysis independent of nuisance parameters such as viewpoint or illumination. We map these graphs to a latent space and cluster them. Each action is […] Read More >
