-
:this project pioneers a new paradigm of General Genome Interpretation (GenGI) models by combining DNA Large Language Models (DLLMs) with Deep Neural Networks to predict human phenotypes directly from Whole Exome
-
techniques; Structural and functional characterization of interfaces and junctions, in particular through nanoscale analyses; Development, adaptation, and optimization of experimental methodologies
-
is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
-
sources and can host controllable spins for quantum memory and processing. Integrating spin and photonic properties enables efficient quantum networking through entanglement, while embedding these centres