ICT and Media
52 Results were found on Technologies
Sub Category Name
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 >
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 >
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 >
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 >
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 >
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 >
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 >
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 >
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 >
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 >
