Research infrastructures (RI) provide access to state-of-the-art instrumentation for the scientific community for example, The Extremely Brilliant Source at the European Synchrotron Radiation Facility, the European Free Electron Laser and the European Spallation Source.
The business case for these facilities is centred on a service model that provides visiting researchers access to cutting...
Markov decision processes (MDPs) is a minimalist framework that is designed to capture the most important aspects of decision making under uncertainty, a problem of major practical interest. Unfortunately, the price of the minimalist approachis that MDPs lack structure and as such planning and learning in MDPs with combinatorial-sized state and action spaces is strongly intractable. An...
Hastlayer (https://hastlayer.com/) by Lombiq Technologies is a .NET software developer-focused, easy to use high-level synthesis tool with the aim of accelerating applications (possible areas include AI/ML, image/video processing, scientific computations…). It converts standard .NET Common Intermediate Language (CIL) bytecode into equivalent Very High Speed Integrated Circuit Hardware...
In this talk I will give an overview of the computational steps in the analysis of a single cell-based large-scale microscopy experiments using deep learning techniques. First, I will present a novel microscopic image
correction method designed to eliminate illumination and uneven background effects. New single-cell image segmentation
methods will be presented using differential geometry,...
Calculating text statistics, like term frequency and similarity is an essential part of processing and modeling symbol sequences, including, for instance, text, source codes, and DNA sequences. However, calculating these statistics may have high computational demand. Thus, even in case of datasets with a moderate size, it can be cumbersome to integrate it into research or commercial product....
Cellular analysis based on microscopy images starts with the identification of cells, typically by segmentation. This challenges researchers to construct out-of-the-box solutions that potentially work in various experiments as downstream analysis depends on segmentation reliability. nucleAIzer is a deep learning-based pipeline intended for the efficient and robust instance segmentation of...
Silent failure effects in Deep Learning models are challenging, to say the least. Image processing applications have developed various tools in order to help explainability and debugging, including visualizign kernel activations, heat maps, and so on. Learning on 3D point clouds is especially challenging as we deal with an unstructured data of a point set defined in 3D metric space. Models...
Divide et impera – divide and rule – is an ancient political strategy broadly applicable to complex problems. Theoretical considerations and experimental evidence suggest that this is how the nervous system generates full repertoires of actions by the combination of pre-defined actions or policies. In the framework of geometry, the linear combination of basis vectors spans a vector space....
Artificial neural networks (ANNs) are typically highly nonlinear systems that are finely tuned via the optimization of their associated, non-convex loss functions. Typically, the gradient of any such loss function fails to be dissipative making the use of widely-accepted (stochastic) gradient descent methods problematic. We offer a new learning algorithm based on an appropriately constructed...
With the goal of strengthening Hungary's position in AI, MILAB is
founded in 2020 as the coordinated national artificial intelligence
umbrella for the collaboration of all major research centers,
universities and large-scale national programs. With the participation
of 75 researchers, we established a project structure of six main areas
during the kickoff meeting on September 2:
- ...
In this talk, I present the key institutional background and projects of
Hungary's AI strategy. The goal of the Strategy is to harness the
possibilities inherent in technological change and maximize the
opportunities offered by artificial intelligence (AI). The strategy was
prepared with the involvement of over 250 member organizations of
Hungary’s AI Coalition and over a thousand...
The European Spallation Source ERIC (ESS) is a joint European organisation committed to building and operating the world's leading facility for research using neutrons. The facility design and construction includes a powerful linear proton accelerator, a helium-cooled tungsten target wheel and two dozen state-of-the-art neutron instruments.
ESS is made up of a large number of diverse...
Analysis of signals by means of mathematical transformations proved to be an effective method in various aspects, including filtering, system identification, feature extraction, classification, etc. The most widely used method in transform-domain techniques operates with fixed basic functions like trigonometric functions in the Fourier transform, Walsh functions in Walsh–Fourier transform,...
