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Neuroscience-Inspired AI
The human brain constitutes the most effective and efficient intelligent system ever known in nature. At MI@BioLab we work to discover the key computational principles of intelligence taking inspiration from biological learning systems and recent neuroscience discoveries in order to build smarter machines.
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Machine Learning
Learning is one of the fundamental pillars of every intelligent agent. Our focus is centered around Machine Learning and Pattern Recognition with a particular emphasis on Continual Learning. We believe that enabling machines with the ability to adapt and learn continuosly to be a fundamental driving force in our path towards AGI.
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Real-world Applications
We apply and validate our algorithms within real-world applications mostly in the context of Computer Vision and Biometrics (Face Recognition and Morphing, Fingerprint Recognition, etc.). Collaborations with industrial partners ensure that the research activities are always linked and validated within realistic use-cases.
Latest News
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descriptionPaper accepted at the ICIAP Conference in Trento!
Gesture Recognition by Leap Motion Controller and LSTM Networks for...
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cakeMachine Intelligence @ Biolab is online!
ciao
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