Research & Publications
Exploring innovation at the intersection of AI, machine learning, and applied research
Research
AI for diagnosis of skin lesions
Diagnosis of skin diseases across racial divides
The goal of this research is to develop a diagnostic model to identify pigmented and non-pigmented skin lesions in ethnic skin types. An AI model for the diagnosis of skin lesions will augment the work of dermatologists in providing enhanced skincare services across various demographics, particularly in remote under-served communities and also in others that are under-represented in specialist skincare support.
AI vs COVID-19 Initiative: BioMedBERT
Natural Language Processing for Biomedical Research
BioMedBERT advances the state-of-the-art language models for increased information discoverability from biomedical literature. The number of peer-reviewed papers that are published everyday is dramatically increasing. PubMed reports that more than 1 million biomedical research papers are published each year, this amounts to about two papers per minute.
BRLA-P2P: A Byzantine-Resistant Learning Automata Framework
Resilient Peer-to-Peer Content Distribution
We suggest BRLA-P2P, a new framework that combines Byzantine resistance with Learning Automata to make a robust peer-to-peer content distribution system. Our framework adds Byzantine detection and resistance features to TPEOMA's content distribution mechanisms.