We are specialists in the practical application of Artificial Intelligence, Machine Learning, Deep Learning and Data Science including AI Learning and Training for the Science and Research industry
Fennaio facilitates the entire AI Training process through advanced Machine Learning models that are efficient and highly accurate.
When your data is in a suitable format, from a steady source, and correctly labelled, it needs to be used to efficiently train the AI Machine Learning model.
This is probably the most important step of AI implementation, as this learning process primes your AI for all its future decisions and outputs.
Learning can be supervised, unsupervised or reward based, and we can help in all aspects of this.
We work with you at every stage of AI Learning to make sure your data is being used effectively to train the AI - and this is done initially by scaling up and monitoring until the AI is in such place where it can accept large amounts of data from which to learn from.
Example areas where Fennaio can help with AI, Machine Learning and Deep Learning in the Science and Research industry
AI can be used all over the Science and Research industry, including these processes, operations and tasks:
- data analysis
- predictions
- modelling
- big data
- high throughput analysis
- experimental design
- simulations
- genomic analysis
- proteomic structure
- molecular interactions
- discovery
- data science
- diagnostics
- image recognition
- microscopy
- object and video recognition
- reaction dynamics
- theory robustness
- data visualisation
- literature review
- data harvesting
- data optimisation
- data filtering
- cross study data relationships
- many more...