Tag: machine learning
Artificial Intelligence and Machine Learning in Genomic Research
Genetic diseases are a reflection of our genome, identifying the exact mutation will allow to analyse it in depth and, therefore, find an appropriate treatment for each case.
AI Edge and Sensors
In the February issue of the Global Corporate Venturing CVG magazine, I had the opportunity to share my opinion on the uses and benefits of artificial intelligence, machine learning and the internet of things.
BISITE’s biomedical research and the application of Machine Learning techniques
The diseases that pose a challenge to today’s medicine have, to a large extent, a genetic origin or component. Therein the importance of early detection of genetic factors that may trigger the development of a disease.
Niloufar Shoeibi, from Iran, will be involved in Machine Learning projects
The BISITE Research Group continues to grow, our newest member is Niloufar Shoeibi Babazadeh, she is a Computer Hardware Engineer from Babol Noshirvani University of Technology.
Artificial Intelligence: Interview on USAL Radio’s Eureka Program
A few days ago I participated in the Eureka program on scientific research, I had a very relaxed conversation with José Guillermo Sánchez, we talked about the latest advances in Artificial Intelligence, Machine Learning, Blockchain and how we, at the BISITE group, implement those and other technologies.
Machine Learning for data processing
Nowadays, data are seen as the best tool for providing quality services; the more we know about a client, the better the product or service we offer because it adapts to their needs.
Artificial Intelligence and Machine learning in collaboration with Saya Fujino
Today I wanted to tell you about our collaboration with Saya Fujino. She has been with us since several months and we are very glad to have her in our group.
Sensors Journal Special Issue “Artificial Intelligence and Machine Learning in Sensor Networks”
I would like to invite you to send your contributions to the Special Issue “Artificial Intelligence and Machine Learning in Sensor Networks” which belongs to the “Intelligent Sensors” section. The deadline for manuscript submission is June 30, 2018