The 2023 Horizon Europe project CoDiet aims to combat diet-related diseases through innovative diet-monitoring technologies, AI-assisted data analysis and personalized nutrition.
Project AutoFair receives 3,8 million EUR from the EU. Its aim is the research and development of transparent and explainable AI algorithms. Read more about this huge project we are coordinating!
Together with researchers from the Deggendorf Institute of Technology, we are participating in a project using 5G infrastructure in robotic tasks.
The joined TERESA project will enable the rehabilitation of COVID-19 patients in the home environment and allow them to share data with their doctors via fitness wearables.
AI Center partners with Bell to explore state-of-the-art transportation solutions in the latest project titled Passenger Decision Modeling in a Multi-Modal Urban Environment.
The new collaboration with the Johns Hopkins University and other partners of the Digital Triage Assistant (DTA) project will help with treatment of wounded soldiers in combat situations.
May 2020: ŠKODA AUTO cooperates with our Software testing IntelLigent Lab (STILL) on the Proof-of-Concept of automated generation of test scenarios for car end tests.
Our Chronorobotics Laboratory is fighting Covid epidemic by developing an app using artificial intelligence and anonymized data collection. The project FreMEn contra Covid is based on community-driven data, therefore we call for your participation! Furter info in the article [Czech].
We are developing an algorithm for pipetting robots that will help automate coronavirus testing at the Motol University Hospital. It is designed to allow pipetting robots to handle samples quickly and safely, avoiding cross-contamination.
STILL research group participates in the new project HistoryLab that offers a distance tool for teachers and students.
BIG NEWS! We are establishing a joint laboratory with Avast (AAICL) to forster research in the field of cybersecurity and artificial intelligence.
The CivilSphere project (Stratosphere Lab, AIC) provides free services to people at risk to detect targeted cyber security threats.
Aposemat is a joint project of Stratosphere Lab and Avast Software company to create, publish and analyze malware attacks on IoT devices.
Our US Air Force project is looking for new students! Join our team to work or do your thesis in planning, game theory and AI.
We are releasing the project Ludus which aims at improving the security of Turris routers. This research is funded by the Technological Agency of the Czech Republic and is a joint project of the Stratosphere team and CZ.NIC association.
We cooperate with the Czech Government on the AI impact analysis. The output if this cooperation is a study titled "Research of the potential of artificial intelligence development in the Czech Republic" aiming to help the Czech Republic respond to global and European AI activities and find its place on the global market.
What will the future of journalism be like when AI comes in place? Our researchers will explore that in a new project together with scientists from Faculty of Social Sciences at Charles University, University of West Bohemia in Pilsen and ČTK (Czech Press Office). The primary objective of the research is the emergence of AI system that will generate texts for further intelligence use.
Privacy Preserving Multi-Agent Planning
Member of our departement - Antonín Komenda and his team Michal Štolba, Daniel Fišer and Michaela Urbanovská were awarded the GAČR grant.
Long non-coding RNAs in myelodysplastic syndromes: clinical relevance and implication in the pathogenesis
The project Intelligent composite anchor is created with the support of the Ministry of Industry and Trade of the Czech Republic under the program TRIO. The main objective of the project is the research of the possibilities and development of a composite anchor element, which will be integrated with electronic sensors. The project will be solved in the period 2016-2019.
From January 2017 we are starting four years TACR project „Quality Assurance System for Internet of Things Technology“ in coopearation with RedHat Czech Republic.
New GAČR project (2017-2019) by Tomáš Krajník: Spatio Temporal Representations for Life-Long Mobile Robot Navigation
New international Horizon 2020 ELECTRIFIC project in the Artificial Intelligence for Transport and Mobility group, AIC.
The project will solve:
Context-aware travel planning and scheduling algorithms for electric vehicles
Market-based charging capacity allocation and demand management mechanisms for electric vehicles
Red Hat, the world's open source solutions leader, encourages students of FEE, CTU in Prague in the participation on open-source projects in the field of system integration and enterprise systems. The partnership brings the intersection and mutual interest of the academic sector and industry. Red Hat provides students with their knowledge, know-how and best practices in the field of Java Enterprise, Cloud computing, Internet of Things, Microservices.
The Stratosphere IPS is a free software Intrusion Prevention System that uses Machine Learning to detect and block known malicious behaviors in the network traffic.
The Stratosphere IPS Project has participated in the CitizenLab Summer Institute 2015, organized by the Munk School of Global Affairs, University of Toronto. The workshop gets together the most significant actors protecting the digital rights of civil society, including privacy, anti-censorship and anti-surveillance research.
Extension of the Traffic Flow Modeling Project. A number of extensions will be developed to further improve the pedestrian flow model, allowing simulation and evaluation of a wider range of scenarios and improve performance and believability of the model on existing scenarios.
Our researcher Milan Rollo participates in project for forest monitoring by unmanned aerial vehicles sponsored by The Ministry of Agriculture of the Czech Republic.
PCTgen is project focusing on efficiency and improvements in methods for software testing. The research cover areas as automated generation of the test cases, more flexible and practically applicable coverage criteria and synergies between process and data consistency testing.
AgentFly is an agent-based system for a large scale air traffic simulation. It is able to simulate tens of thousands airplanes in detail, e.g. to compute fuel consumption. It also models cognitive behavior of air traffic controllers to simulate their activities and workload. The AgentFly can be used to simulate complete air traffic over US to predict future air traffic
GAČR project by Jan Faigl: Adaptive Informative Path Planning in Autonomous Data Collection in Dynamic Unstructured Environments
Agent-based algorithms for road traffic autonomous support systems: Project focusses on massive autonomous traffic system simulations mainly for the purposes of development of algorithms for autonomous traffic systems and multi-agent optimization of transportation logistics. Individual research results are cross-validated to ensure their scalability, reliability, fidelity and applicability in unified realistic autonomous traffic system.
The Centre of competence RODOS (ROzvoj DOpravních Systémů – in Czech) is a consortium of leading Czech research institutions and business companies active in the field of telematics and intelligent transport systems.
In Computation Game Theory we study and design new algorithms for finding optimal behavior in finite sequential scenarios, where agents have to deal with limited information, uncertainty, and competing opponents. Typical examples include classical card and board games, scenarios from the security domain, or auctions
Pre-seed Project - Autonomous UAVs for tactical missions and critical infrastructure protection
Pre-seed aims at design and deployment of algorithms for surveillance and patrolling on multiple autonomous UAVs for protection of critical infrastructures (oil-pipelines, power lines, etc.) and use in tactical missions. We try to develop a system for integrated command and control that increases autonomy of fleet of UAVs and provides common operation picture for the UAV operator.