https://uniba.sk/ Najnovšie novinky sk https://uniba.sk/fileadmin/tt_news_article.gif https://uniba.sk/ Najnovšie novinky TYPO3 - get.content.right http://blogs.law.harvard.edu/tech/rss Thu, 31 Dec 2026 00:00:00 +0100 https://uniba.sk/ Ondrej Blažo, 23. – 27. 02. 2026, Salamanca, University of Salamanca, Jean Monnet Chair "Solidarity... Master's Programme in European Studies, he delivered lectures entitled "Values of the European Union: Written and Unwritten Rules and the Internal Market", focusing on the values of the European Union and their relationship with the functioning of the internal market. He also contributed to the Global Studies programme with a lecture on "Membership of the European Union". The lectures provided an opportunity for in-depth discussions on solidarity as a value of the European Union and as a fundamental legal principle, particularly in the light of the judgment in Commission v Malta. The sessions were met with strong engagement from students and facilitated an exchange of views on current challenges and developments in the process of European integration. Professor Blažo also held meetings with representatives of the University of Salamanca, including the Vice-Dean for International Relations, members of the Europe Direct initiative, and researchers working in the field of European studies. The discussions focused on opportunities for strengthening cooperation between the Faculty of Law of Comenius University in Bratislava and the University of Salamanca, particularly through joint research initiatives and potential activities within the framework of the Jean Monnet programme. The academic visit thus contributed not only to the internationalisation of the Faculty's teaching activities but also to the development of institutional partnerships and the exploration of new opportunities for future collaboration between the two universities.]]> [PraF] UEP Sat, 13 Jun 2026 12:15:00 +0200 https://uniba.sk/ The Industrial Property Office of the Slovak Republic, in cooperation with the Slovak Innovation... The webinar is intended primarily for:

• technology transfer centres,
• research institutions and project offices,
• university spin-offs and start-ups,
• researchers preparing the commercialisation of research results.

What the webinar will cover:

• SME Fund 2026 – open since 2 February 2026
  Possibility to receive reimbursement for fees related to:
• trademarks and designs
• patents (national and European applications)
• IP Scan
• plant varieties
• SIEA Innovation Vouchers – a grant instrument that companies can use to finance innovation activities, including services related to the protection and development of intellectual property.

The webinar will provide a practical overview of funding conditions, eligible costs, and the application process, as well as space for questions. Support for intellectual property protection can significantly reduce the costs of commercialising research results and strengthen the readiness of projects for real-world application. ⚠️ The capacity of the webinar is limited. The event will take place on 18 March 2026 from 10:00 to 11:00 (CET) via Zoom. Registration: https://www.survio.com/survey/d/E3P8S5U9B4A4Y9D9U ]]> [UVP][Inkubátor] Aktivity Mon, 09 Mar 2026 09:19:00 +0100 https://uniba.sk/ February 17th, 2026, Faculty of Law, Comenius University in Bratislava [PraF] EN Titulka - široké novinky Tue, 03 Mar 2026 09:28:00 +0100 https://uniba.sk/ Monday 2.3.2026 at 13:10, Lecture room I 9 Issa Noufal:
CAPG-v2: Impact-Weighted, Multi-Path Vulnerability Prioritization over CVE-Centric Attack-Position Graphs
Abstract:
CAPG-v2 is a graph-based framework for moving vulnerability management beyond isolated per-CVE scoring. While widely used scores such as CVSS and EPSS are useful for estimating severity or exploit likelihood, they do not capture how vulnerabilities interact across attack paths in a specific environment. CAPG-v2 addresses this gap by modeling vulnerabilities as transitions in an attack-position graph, assigning exploit-success priors and impact-weighted goal losses, and prioritizing vulnerabilities according to their contribution to expected attack loss. The framework supports both path-based scoring and a scalable Monte Carlo estimator of marginal expected-loss reduction, enabling patch prioritization under limited budgets. An experimental evaluation on a demo network compares six ranking strategies under different attacker policies (uniform and goal-greedy). It shows that overlap and impact-aware graph methods consistently outperform prior-only baselines. More information Youtube channel ]]> [FMFI] Prednášky a semináre [FMFI] Kalendár Damas.Gruska@fmph.uniba.sk Wed, 25 Feb 2026 08:41:00 +0100 http://www.fm.uniba.sk/en/about-faculty/akcie-organizovane-na-fm/bip-at-fm-cu-february-2026/ Brought Together Experts from Across Europe in Bratislava. The event combined online and on-site... [FM] Titulka - úzke novinky Tue, 24 Feb 2026 13:23:00 +0100 https://uniba.sk/ Thursday 26.2.2026 at 9:50, Lecture room M 213 František Kardoš:
Disjoint Correspondence Colorings for K_5-Minor-free Graphs Abstract:
Thomassen famously proved that every planar graph is 5-choosable. We explore variants of this result, focusing on finding disjoint correspondence colorings, in the more general class of K5-minor-free graphs. Correspondence colorings generalize list colorings as follows. Given a graph G and a positive integer t, a correspondence t-cover M assigns to each v ∈ V (G) a set of allowable colors {1_v, . . . , t_v} and to each edge vw ∈ E(G) a matching between {1_v, . . . , t_v} and {1_w, . . . , t_w}. An M-coloring φ picks for each vertex v a color φ(v) (from the set {1_v, . . . , t_v}) such that for each edge vw ∈ E(G) the colors φ(v), φ(w) are not matched to each other. Two M-colorings φ₁, φ₂ of G are disjoint if φ₁(v)≠ φ₂(v) for all v ∈ V (G). For every K5-minor-free graph G and every correspondence 6-cover M of G, we construct 3 pairwise disjoint M-colorings φ₁, φ₂, φ₃. In contrast, we provide examples of K5-minor-free graphs and correspondence 5-covers M that do not admit 3 disjoint M-colorings. More information]]> [FMFI] Prednášky a semináre [FMFI] Kalendár Martin.Skoviera@fmph.uniba.sk Mon, 23 Feb 2026 13:45:00 +0100 https://uniba.sk/ As part of the international ENLIGHT FutureFounders project, we are preparing a new online course... certificate and will also have the opportunity to follow up with additional project opportunities (e.g., incubation programmes offered by participating partners). We plan to launch the course in late March/early April. Exact dates and further information will be published on the project website and via university communication channels. FutureFounders is a great opportunity for anyone who wants a practical foundation in entrepreneurship, to broaden their perspective, and to meet people working on similar ideas. More information.]]> [UVP][Inkubator] Široké novinky Mon, 23 Feb 2026 14:40:00 +0100 https://uniba.sk/ Doctors from the Department of Neurosurgery of the Faculty of Medicine, Comenius University... “The more tumour we can safely remove, the longer the patient survives,” explains Head of the Department of Neurosurgery Andrej Šteňo. At the same time, the neurosurgeon must protect functional centres responsible for critical processes such as speech and comprehension, which is why such procedures are often performed with the patient awake. The team at Kramáre has long-standing experience with intraoperative ultrasound, one of the most accessible and effective methods for imaging tumour tissue during surgery. Its interpretation, however, is complicated by artefacts - reflections of the ultrasound signal that can obscure the true anatomical situation and make it harder to distinguish between residual tumour and healthy brain. This is where artificial intelligence comes in, helping the surgeon identify where the tumour actually continues and where healthy tissue begins. Ultrasound and AI: partners in the operating theatre The AI model was developed by Spanish neurosurgeon and programmer Santiago Cepeda from Hospital Río Hortega in Valladolid. It is based on deep learning and computer vision. Dr Cepeda trained the model on more than 1,400 ultrasound images of brain tumours. The system has learned to distinguish tumour tissue, the peritumoural zone, and selected anatomical structures, while evaluating images in real time during surgery. “The aim of the project is to validate this model in other external centres. Validation in a different clinical environment is a key hurdle these methods must overcome,” he adds. In the operating theatre, the ultrasound device is connected to a high-performance computer running the model, which displays colour-coded regions representing the tumour, its surroundings, and the resection cavity. “I would perform the operation the same way even without it. But if I overlook something and the model flags it, I will certainly take another look,” says Associate Professor Šteňo. In his view, AI functions as an additional expert opinion in the team, an “external brain”, rather than a substitute for human decision-making. Responsibility for the patient always remains with the surgeon. The Bratislava neurosurgical team was not selected for the project by chance. Dr Cepeda had been seeking centres with strong expertise in intraoperative ultrasonography and repeatedly encountered Kramáre and Associate Professor Šteňo in the literature. In addition to Bratislava, he approached the renowned Istituto Carlo Besta in Milan, forming a three-member European consortium. In Bratislava, however, the project progressed at an exceptional pace. While large European centres are often slowed down by complex administrative procedures, the Slovak team demonstrated a high level of readiness. “The preparedness of our Slovak colleagues was very favourable. Approval and all necessary steps were completed within a few months, largely thanks to strong interest,” says Cepeda, noting that while ethics approval processes are still ongoing in Milan, doctors in Bratislava have already successfully performed AI-assisted surgery. The research and publication outputs of the Kramáre team have also recently contributed to changes in the latest recommendations for the surgical treatment of gliomas, which now reflect their data from procedures using intraoperative ultrasound. “Being approached by a leading expert such as Dr Cepeda is already the second major recognition of our work in a short period of time,” adds Associate Professor Šteňo. No residual tumour, strong prospects The first AI-assisted brain surgery at Kramáre was performed on a patient with a glioma, where maximal tumour removal while preserving functional centres is critical. Postoperative MRI showed no evident residual tumour, and the patient was discharged to home care within a few days. The model developed in Valladolid is already used routinely there. In collaboration with Bratislava, further refinement and testing on a larger cohort of patients are planned. “If the model can be further trained and very high reliability can be achieved, it could shorten surgery times while increasing safety,” says Andrej Šteňo. Artificial intelligence in medicine: support rather than replacement According to both experts, the project demonstrates how modern technology should be used in medicine: as a tool that enhances decision-making rather than a replacement for human expertise. Associate Professor Šteňo also stresses the need for clear rules governing the use of AI, to prevent clinicians - especially those in training - from delegating their own reasoning to technology while still developing their clinical judgement and scientific writing skills. For Santiago Cepeda, the greatest satisfaction lies in technological development, but he emphasises that its true value will be realised only when patients benefit directly in the near future - through shorter time in the operating theatre, safer tumour removal, and, above all, improved prognosis in their serious disease. Eva Kopecká]]> [RUK] Titulka - úzke novinky pr@uniba.sk Fri, 20 Feb 2026 09:49:00 +0100 https://uniba.sk/ Monday 23.2.2026 at 13:10, Lecture room I 9 Vladimír Macko:
Advances in Neural Network Pruning and Quantization: Theory, Practice, and Sparse Computation Abstract:
As neural networks grow in depth and parameter count, the development of efficient compression techniques has become a central research focus in machine learning. Among these, pruning and quantization have emerged as prominent strategies to reduce model complexity and computational cost while preserving predictive accuracy. However, significant open questions remain regarding the theoretical foundations, algorithmic trade-offs, and practical implementation challenges of these methods. This talk starts with a survey of recent progress in neural network pruning and quantization from an academic perspective. We further examine the computational implications of sparsity induced by pruning, particularly in the context of inference-time acceleration. Finally, we present recent work on developing custom GPU kernels for sparse matrix multiplication, highlighting how low-level optimization can align with high-level model compression objectives. Through a combination of theoretical insights and experimental evaluation, we aim to shed light on the current state and future directions of efficient neural network research. More information Youtube channel ]]> [FMFI] Prednášky a semináre [FMFI] Kalendár Damas.Gruska@fmph.uniba.sk Tue, 17 Feb 2026 12:56:00 +0100 https://uniba.sk/ At FM CU, we are welcoming 50 new international students who, together with 66 full-year students,... [FM] Titulka - úzke novinky Thu, 12 Feb 2026 16:08:00 +0100