ICT and Media

 

50 Results were found on Technologies

Leading Researchers:
2-2022-1764

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 >

Leading Researchers:
4-2022-1771

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 >

Leading Researchers:
2-2020-1451

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 >

2022-0190

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 >

Leading Researchers:
2022-0202

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 >

2022-0205

Automated Processing Of Non-Invasive Thermal Imaging Of Organ-Specific Diseases To Detect Inflammation And Vascular Dysfunction

During the COVID-19 worldwide pandemic, rapid and sensitive screening tools for SARS-CoV2 infection were defined critical for limiting the spread of COVID-19 and for allocating national resources properly. Researchers have developed and tested a new point-of-care, non-contact, thermal camera that connects directly to smartphones combined with image-processing algorithms, and machine learning-based analysis, to detect inflammation […] Read More >

Leading Researchers:
7-2020-1368

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 >

Leading Researchers:
2023-0027

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 >

Leading Researchers:
2023-0036

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 >

Leading Researchers:
2023-0041

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 >

Prof. Afek Yehuda

My research interests span the range from distributed systems to tightly coupled multiprocessors. In particular, I am interested in the theoretical study of asynchrony and its effects in systems (both shared memory and message passing based), in concurrent programming (concurrent data structures and transactional memory), and in networking (network security, protecting against denial of service […] Read More >

Prof. Amir Roey Jacob

Design and synthesis of advanced polymeric hybrids and their assembly into functional nanostructures for applications ranging from nanomedicine to materials science Research Design, synthesis and characterization of smart polymers Design, synthesis and characterization of dendrimers and polymeric hybrids Stimuli responsive self-assembly and disassembly Utilization of smart polymers as selective drug delivery systems Read More >

Prof. Amrani Ofer

Microwave and digital communications, specializing in the various aspects of equalization, coding, modulation, and combinations thereof Email: ofera@tauex.tau.ac.il Phone: 03-6407766 Fax: 03-6407095 Office: Computer and Software Engineering, 307   Read More >

Prof. Applebaum Benny

An associate Professor in the School of Electrical Engineering at Tel-Aviv University. I’m mainly interested in the foundations of cryptography, as well as the practical aspects of computer security. I also have a broad interest in computational complexity and coding theory. Read More >

Prof. Arie Ady

Research Interests: Nonlinear Optics, Quasi Phase Matching Periodic and Quasi-Periodic Nonlinear Photonic Crystals All optical processing Frequency stabilization of lasers, high resolution spectroscopy Email: ady@eng.tau.ac.il Phone: 03-6406627 Fax: 03-6423508 Website: https://www.adyarie.sites.tau…. Office: Electrical Engineering, 240   Read More >

Prof. Ast Gil

Professor, Department of Human Molecular Genetics and Biochemistry, Faculty of Medicine, Tel Aviv University Research Alternative Splicing Generates Transcriptomic Diversity in Genetic Disorders & Cancer By utilizing the unique strengths of our research group in bioinformatic analyses as well as in genomic and advanced molecular biology methodologies, we are able to make groundbreaking discoveries in […] Read More >

Prof. Avidan Shmuel (Shai)

Computer Vision, Computational Photography, Computer Graphics Read More >

Dr. AVRON Haim

Read More >

Prof. BEERY Yair

Read More >

Prof. Ben-Dor Eyal

Fields of research: Hyperspectral Remote Sensing of the Earth Soil Spectroscopy Developing applications in many diciplines (medicin, veterinary, civl engineerings, precise agriculture) Generating Soil Spectral Library for the Medearnenam countries Bi lateral projects with Czech Republic (CGS), Germany (GFZ), Greec (i-BEC), Italy (CNR) and EC (EUFAR, EO-MINERS and GEO-CRADEL) Contact: Email: bendor@tauex.tau.ac.il Phone: 03-6407049 Another […] Read More >

Leading Researchers:
12-2011-228

Modern Computer Integrated Manufacturing

  The Computer Integrated Manufacturing (CIM) Laboratory serves as a main teaching and research Lab for the Department of Industrial Engineering in the Iby and Aladar Fleischman Faculty of Engineering at Tel Aviv University.   The Lab offers introductory and advanced laboratories in Modern Computer Integrated Manufacturing. Practical laboratories & projects cover the following concepts […] Read More >

Leading Researchers:
12-2011-226

Turbulence and Experimental Fluid Dynamics in Gases and Liquids

Our field is experimental fluid dynamics in gases and liquids Our systems are:1. Electro-optical techniques (visual and infrared), high speed imaging, image processing and object tracking algorithms and data mining2. Tracking, velocity/forces and surface mapping  Potential services:1. Identification of contaminant sources (chemical) in air/water environment2. Flight and flows of birds and insects (odor navigation)3. Wakes […] Read More >

Sorry, no results were found.

Sign up for
our events

    Close
    Life Science
    Magazine

      Close
      Hi-Tech
      Magazine

        Close