NaviDate Ltd has been awarded a research and development grant to support the industrial research project “Passive Optoelectronic Search Engine System”.
This state support will greatly accelerate the prototype development process as well as the implementation cycle and commissioning.
Research and development in the project will be directed to the optimization of algorithms for detection of moving objects specialized for prototypes implemented within a project with a particular use in practice:
monitoring of the airspace near the airport
monitoring of the truck movement on the airport’s moving surfaces
measuring the speed of vehicles in the road traffic.
All three algorithmic problems will be solved in real time, so optimization will be the key procedure. Optimized algorithms based on artificial intelligence and machine learning will be used especially during object identification.
The expected outcome of the project is the methodology for the individual proposed procedures and functional prototypes for those areas with clearly defined limitations and risks.
Research team consists of the following specialists:
Prof. Ing. Gustáv Kasanický, CSc., director of the Institute of Forensic Engineering of the University of Žilina, researcher in the field of traffic analysis
Doc. Ing. Jozef Schwartz, CSc., researcher in the field of mechatronic and applied mechanics
MUDr. Peter Schwartz, researcher in the field of applied physics
Ing. Eduard Kolla, PhD., assistant of the director for the research activities of the Institute of Forensic Engineering of the University of Žilina
From SIRI to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science fiction often portrays AI as robots with human-like characteristics, AI can encompass anything from Google’s search algorithms to IBM’s Watson to autonomous weapons.
Artificial intelligence today is properly known as narrow AI (or weak AI), in that it is designed to perform a narrow task (e.g. only facial recognition or only internet searches or only driving a car). However, the long-term goal of many researchers is to create general AI (AGI or strong AI). While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.
Microservices – also known as the microservice architecture – is an architectural style that structures an application as a collection of loosely coupled services, which implement business capabilities. The microservice architecture enables the continuous delivery/deployment of large, complex applications. It also enables an organization to evolve its technology stack.
The microservice architecture is not a silver bullet. It has several drawbacks. Moreover, when using this architecture there are numerous issues that you must address. The microservice architecture pattern language is a collection of patterns for applying the microservice architecture. It has two goals:
The pattern language enables you to decide whether microservices are a good fit for your application.
The pattern language enables you to use the microservice architecture successfully.