Can computers really predict the future?
Chronos delivers advanced solutions that
- based on learning from historical data – can
- make predictions about the future,
- recognize patterns and contexts and,
- make intelligent decisions.
This type of advanced solution is called "machine learning solutions". It may sound strange that computers can learn, but nevertheless the computer improves and changes its answers, sometimes assisted by a consultant and sometimes without assistance. Machine learning solutions learn by reading historical data. The solutions generalize based on concrete and specific data. New answers to future decisions are made automatically based on historical data.
A prerequisite for achieving this - and which today makes this possible – is
- advanced program solutions based on research in recent years,
- ever-increasing amounts of available data, efficient computers and
- large storage capacity
If you want to know more about what machine learning and computer science can do for you, contact us here.
Machine learning as a subject requires first-hand interdisciplinary competence in several areas, including probability theory, statistics, mathematics, cognitive science, linguistics and informatics. Chronos collaborates with Norwegian research institutions. We have one Professor, two doctoral fellows and several employees with higher degree levels in these subject areas.
Computer science/machine learning
Applications
Here are some examples of use:
- decision support systems, with summary overviews of large amounts of data (also known as data mining),
- voice, writing and image recognition,
- text classification / categorization, comprehension of utterances,
- automatic control systems,
- recognition of patterns and contexts,
- spam filter,
- customer segmentation,
- fraud detection,
- predicting the future
- supply / demand
- weather
- traffic
- occupancy and needs in transport, tourism
- bottlenecks in logistics
- crime