ICT and Media
44 Results were found on Technologies
Sub Category Name
Execution Guided Line-by-Line Code Generation
Large language models (LLMs) have revolutionized the field of code generation, demonstrating impressive capabilities in automating programming tasks and assisting developers. Despite these advancements, current methods primarily rely on pattern recognition from static code representations, often producing syntactically plausible but functionally incorrect code. Many of these models lack the ability to explicitly reason about runtime […] Read More >
Overclocking LLM Reasoning- Monitoring and Controlling Thinking Path Lengths in LLMs
Large Language Models (LLMs) like ChatGPT have revolutionized AI-powered reasoning, enabling applications across diverse domains. However, their internal reasoning processes often remain opaque, leaving users in the dark about how long the model will take to arrive at an answer. UNMET NEED Currently, users interact with reasoning models without any indication of the internal progress […] Read More >
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 >
Partially coherent radar for car applications
Many different approaches for mapping nearby moving objects are under fast development nowadays due to a number of highly important emerging applications, including autonomous cars and many others. The majority of existent proposals for solving the problem are based on optical imaging with subsequent post processing. While this concept already delivered impressive working prototypes (e.g. […] Read More >
Dynamic structured light projector based on resonance domain diffractive optical elements
The field is the 3D scanning for sensing, imaging, 3D printing and computer-integrated manufacturing. We develop a critical device for dynamic creation of the structured light (SL) patterns that was a bottleneck in triangulation-based 3D sensing with active illumination. Resorting to matured technology of lasers arrays as well as to emerging academically proven technology of […] Read More >
Passive communications with time-varying metamaterials
The coming years will see a revolution by connecting everything to anyone, and RFID and similar technologies, will lead this 300B$ USD industry and 50B connected devices. Examining existing RFID standards suggests that the leading standard, called EPC Gen 2, is a standard in the 900MHz frequency which allows hundreds of tags to be read […] Read More >
HYDEN (HighlY DEgeNerate primers) – A Software for designing pairs of degenerate primers for a given set of DNA sequences
Overview HYDEN (HighlY DEgeNerate primers) is a program for designing pairs of degenerate primers for a given set of DNA sequences. HYDEN works well for large input sets of genomic sequences (e.g., hundreds of sequences of length 1Kbp). HYDEN is a batch (i.e., command-line, as opposed to graphical interface) program, available for Windows XP (downloadable […] Read More >
A Software Only Anti-Spoofing Defense System for In-Car CAN Bus Networks
Modern cars have multiple dedicated computers under the hood called “electronic control units” (ECUs). These ECUs control many aspects of the car’s operation and are connected to each other in a network that typically uses the CAN bus protocol, which bus is a serial protocol with no security components. Replacing CAN bus with another technology […] Read More >
Compilation Integrity Assurance through Deep Code Alignment
TECHNOLOGY & POTENTIAL APPLICATIONWe propose a completely novel approach for detecting hardware Trojans. We obtain, from the foundry or by other means the binaries. These binaries are expected to largely match the programming code provided by the hardware designer with some unavoidable additions inserted in order to support debugging, QA, and to comply with manufacturing […] Read More >
Subharmonic Wireless Locking of THz transmitter
A novel method for wireless sub-harmonic locking a radiating free-running VCO single source or phased-array at THz frequenciesNeed and AdvantagesAlthough many significant challenges remain, results suggest that CMOS THz ICs are inevitability. Still, the lack of efficient, high-power (watt-level) sources remains the most conspicuous impediment to further progress. Promising applications for terahertz technology include non-ionizing […] Read More >
Multi Focus Imaging using Optical Phase Mask
Abstract A method for extended depth of field imaging based on image acquisition through a thin binary phase plate followed by fast automatic computational post-processing is presented. By placing a wavelength dependent optical mask inside the pupil of a conventional camera lens, one acquires a unique response for each of the three main color channels, […] Read More >
A smartphone based psychiatrist-aid system to monitor and prevent recurring illnesses
Lifegraph enables early detection of disease deterioration in mental health patients,using proprietary machine-learning algorithms applied to data collected from thesmartphone sensors.VISIONImproving lives of patients with mental disorders and decreasing the burden of disease on patients,their families and society as a whole.NEED AND MARKET POTENTIALMental disorders are a leading cause for loss of productivity and hospital […] Read More >
DYNAMIC MAPS FOR EXPLORING AND BROWSING OF IMAGES
Technology Our technology enables navigating over a collection of high dimensional entities (such as images, videos, text documents and more) in an interface similar to online map navigation interfaces. The map is ordered such that similar entities are put next to each other, so the browsing experience is continuous. It is dynamic in the sense […] Read More >
THREE-DIMENSIONAL MODELING FROM SINGLE PHOTOGRAPHS
Technology An interactive technique for modeling 3D man-made objects by extracting them from a single photograph is presented. The technique combines the cognitive ability of humans with the computational accuracy of the machine. To extract an object from a given photo, the user draws its part’s profile and sweeps it using simple gestures, to progressively […] Read More >
INFERRING THE PERIODICITY OF DISCRETE SIGNALS
A method for testing a signal comprises obtaining a signal, determining whether the signal has at least one period, measuring that period and providing the measurement as output. A power spectral density estimation can be used for signals having a single period, and an autocorrelation function with slicing can be used in an iterative procedure […] Read More >
Microelectromechanical Systems (Mems) Sensors and Actuators
TechnologyMy research activity in the area of design and modeling of micro- and nanoelectromechanical systems (MEMS/NEMS) combines both theoretical and applied aspects and falls in several directions. The overall scope of the research is in the development of new approaches to actuation and sensing and their implementation in micro devices. In the realm of micro […] Read More >
localization using TOA from Multipath
The Technology Our expert team has succeeded to develop a unique algorithm for location estimation that attains optimal performance in multipath conditions. The novel estimator advantage is that it attains accuracy which is significantly better than other leading methods and that its computational complexity is low. Meaning the algorithm is well suited for implementation in […] Read More >
Compressive Sensing in Radar Detection
Technology The signal processing in a pulse-Doppler radar is typically based on pulse compression filter and discrete Fourier transform (DFT). Detection, measurement accuracy and good resolution require the transmission of train of pulses, where each pulse is frequency modulated. In some cases, for ambiguity resolution, a few trains of pulses are required. A reasonable assumption […] Read More >
High Speed Photonic Digital-To-Analog Conversion
The Technology A novel integrated optical modulator based on a multi-electrode Mach-Zehnder modulator has been developed at Tel-Aviv University. The device has superior performance in terms of linearity, dynamic range and implementation simplicity. These improvements are achieved by utilizing a unique mapping method between the analog input and the digital sequence applied to the device, […] Read More >
Display of High Dynamic Range Images on Conventional Displays
The Invention Current image acquisition and processing allow construction of images with a very wide range of luminous levels. The invention is a method for intelligently manipulating the luminous levels into a displayed image where a maximum amount of significant viewable detail can be simultaneously displayed. The algorithm is based on a visual model which […] Read More >
Eye Gaze Correction for Video Conference
The Invention An algorithm has been developed that can detect the eyes of a video photographed subject. The eyes can then be artificially placed so that they are looking at the camera irrespective of the actual direction the eyes may be directed. The Need Video conferencing is a popular method of communication, whether through IP […] Read More >
Big Data Analytics
Data Mining and Machine Learning; User-Oriented Security: A Multi-Disciplinary Approach The proposed research is an interdisciplinary project, aiming to develop an adaptive cyber-security system that is personally-adjusted to characteristics of a human user. The project is based on the rapidly developing literature on “usable security” which emerged from the realization that system security often depends […] Read More >
Capacitive Matrix for Continuous Voltage Output
A direct current (DC) to DC converter, including: input ports for receiving an input DC voltage; output ports for outputting an output DC voltage; a first matrix of capacitors and switches; a second matrix of capacitors and switches; and a control circuit, coupled to the switches of the first and second matrices, configure d to […] Read More >
Hardware Accelerators for Data Structures
We developed the first parallel architecture for a dynamic data-structure for approximate membership (i.e., a Bloom filter that also supports deletions). UNMET NEEDThe filter architecture supports multiple operations per cycle while preserving sequential order with a fixed and stable throughput that does not depend on the type of operations, the workload, or how populated the […] Read More >
Hyperspectral Imaging Method and System using a Flock of Small Satellites
Remote sensing by satellites is the most major tool in earth observation. In recent decades, governments and the private sector have invested billions in earth surveillance satellite missions. Environmental and agricultural surveillance requires multi-spectral visible, NIR, SWIR, and thermal imagery. Traditionally imagery satellites equipped with a bulky high-resolution camera resulted in heavy and expensive satellite […] Read More >
Error Correction Code Transformer
Error correction code is a major part of the communication physical layer, ensuring the reliable transfer of data over noisy channels. Recently, neural decoders were shown to outperform classical decoding techniques. However, the existing neural approaches present strong overfitting due to the exponential training complexity, or a restrictive inductive bias due to reliance on Belief […] Read More >
Deep Quantum Error Correction
Quantum error correction codes are essential for building reliable quantum computing devices and a key component for realizing the potential of quantum computing. QECC, as its classical counterpart (ECC), allows the reduction of the error rates by distributing quantum logical information across redundant physical qubits such that errors can be detected and corrected. UNMET NEEDAs […] Read More >
Tuning Stylegan Locally to Faithfully Encode Any Input Image
The ability to distinguish between synthetic images and real ones has become increasingly challenging since the introduction of Generative Adversarial Networks (GAN). Although the images produced by this framework are often indistinguishable from real ones, one lacks the ability to control the specific outcome. Most relevant to our work is the StyleGAN family of generators, […] Read More >
A Lensless Polarization Camera
Polarization imaging is a technique that creates a pixel-map of the polarization state in a scene. Although invisible to the human eye (and for most conventional cameras), polarization can assist various sensing and computer vision tasks. Existing polarization cameras acquire the additional modality using either spatial or temporal multiplexing, which increases the camera volume, weight, […] Read More >
Visual Data Transfer Between the End and Side of a Multimode Fiber
It is well known that light propagation in optical fibers is accompanied by random omnidirectional scattering. This type of scattering is called ‘Rayleigh scattering’ and is due to small inhomogeneities in the fiber core. The small fraction of coherent guided light that escapes outside the cladding of the fiber forms a speckle pattern. While works […] Read More >
Explainable AI (XAI)
One important challenge in machine learning is the “black box” problem, in which an artificial intelligence reaches a result without any humans being able to explain why. This problem is typically present in deep artificial neural networks, in which the hidden layers are impenetrable. To tackle this problem, our researchers have introduced the notion of explainable […] Read More >
Dynamic Budget Allocation for Web Media Advertising Campaigns
Companies are required to define an advertising strategy determining how to allocate advertising funds over time, to maximize exposure to as many potential consumers as possible to the brand. Several models of advertising budget allocation have been developed over the years, however, these mjavascript:void(null);odels fall short in their capacity to inform budget allocation problems that […] Read More >
Leveraging Gene Panel Sequencing Data for Mutational Signature Analysis with Applications to Personalized Treatment
UNMET NEED Mutational signatures and their exposures are key to understanding the processes that shape cancer genomes with applications to diagnosis and treatment. Yet current signature analysis approaches are limited to relatively rich mutation data that comes from whole-genome or whole-exome sequencing. Recently, orders of magnitude sparser data sets from gene panel sequencing have become […] Read More >
Automatic Music Transcription in The Wild using Unaligned Supervision
We have developed a novel system that enables automatic transcription of real musical performances. The system detects in unmatched high accuracy which notes were played, at what time, and by which instrument. In other words, the system can parse the musical content from a recording with high precision in timing and instrumentation. The prediction of […] Read More >
Efficient information coding in living organisms
It is clear that DNA can be used as a storage medium, each nucleotide carrying two information bits, which can store vast amounts of data for very long periods of time and with high reliability; as overtime, humans remain human just as cats remain cats. However, it is also clear that it is a very […] Read More >
