The image has been created by Hippu-mounted Stable Diffusion, a generative artificial intelligence input from "AI Integration hub"
Conducted pilots and cases
Memory Lab digitaalisuuden kokeilu- ja innovaatiokulttuurin ajurina Etelä-Savossa project developed local companies' concepts of using artificial intelligence in their business between 2023 and 2024.
This page presents advanced concepts in the form of AI canvas and concrete proof concept demos.
The site is updated with the final versions and links to the codes in case of a Demo
(Demo) Forecasting customer volumes and demand
The pilot aims to predict customer numbers based on menus and visitor history. Later the forecast can also take into account, for example, space reservation information, holidays or major events in the nearby area.
Code available on request, Not Github because every trained model (10 pcs) takes space about 3.5GB
(Demo) AI recommendation language
The aim of this demo is to complement the similarity of the inputs and calculated tonnes for both inputs. It then procedures to calculate sums for the input and finely tags the texts. In total, this demo utilizes four different AI- models to achieve its objectives.
The codes can be found via Github:
(Demo) Clarification of the report produced by the device
The treadmill used to test the maximum oxygen uptake of Active Life Lab produces a hard-to-interpret report. The aim of the pilot is to provide a more understandable interpretation of the report by means of artificial intelligence, so that the user can benefit more from it.
Codes available Github
Archived image data charger
Disec is mass-by-mass image data of archive customers and some of the data is completely unprocessed. Artificial intelligence could help achieve faster and more efficient material processing.
Artificial intelligence as a welfare director
Welfare measurementData, sleep data and baseline physical performance data This could create a personalised well-being coach. The solution improve the use of the pilot's time.
Optimising food production
Fish tremor is there are a lot of different data on sales and production. Artificial intelligence aims to optimise production and product price, which would generate savings in the form of, for example, smaller losses.
(Progress continues in Dame project) Detection of pipeline leaks
The pilot shall aim to:eolldeveloping the security of the systems through artificial intelligence. With artificial intelligence rapid pipe breakage would be detected more quickly and the whole solution would form the basis for a spatial measurement system.
Optimisation of energy production on farm
Farm equipment IoT- sensor–Stock exchange electricity- and by using control data, it is possible to optimise farm energy production;. In the future, optimisation of energy consumption can also be included.
Optimisation of field block drive
There has already been much automation of farm activities. Using available field data and artificial intelligence to optimise: operating machinery in fields. The solution will save costsIn addition, the Commission will continue its efforts to reduce emissions..
Findability of historical data
High-Savo Electricity has data in the energy sector since 1948. The objective of the pilot shall be to assess:, how digitised materials can be extracted by Memory In the lab artificial intelligence information for business and research use.
Material analysis of microtomography images
It takes a lot of time to produce material analyses produced by microX-ray tomography at conventional high-intensity workstations. The capacity of the Memory Lab could be used to carry out wider and more accurate analyses more quickly.
