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well-structured form to the final industrial users. Recent advances in AI (Artificial Intelligence), specifically in NLP (Natural Language Processing) and ML (Machine Learning), are promising for
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assays targeting markers of forensic interest. Next Generation Sequencing (NGS, also known as Massively Parallel Sequencing) has revolutionized molecular genetic research and clinical diagnostics over
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these high resolution studies to DNA-based molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM
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, massively parallel, single-molecule peptide sequencing. This platform is not limited in dynamic range and thus will enable identification of the composition of complete proteomes through the
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/) infrastructure uses a variety of methods such as density functional theory, graph neural networks, computer vision, classical force field, and natural language processing. We are currently focusing on
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informed by and feed into parallel work in macroscale thermomechanical finite element modeling, CALPHAD-based thermodynamics, and crystal plasticity and to both powder-scale and atomic-scale simulations
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computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular structure and dynamics characterization
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standardization of domain-based AI systems and human-computer interactions such as curation and information retrieval. Keywords Ontologies; Natural Language Processing; Machine Learning; Artificial
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301.975.3507 Description The future health care vision would involve the merging of technological advancements in several threads computing, imaging, and information technology; health care practice; and health
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aberration-corrected STEM with a high-speed, pixelated detection system. Taking full advantage of this cutting edge technology will require the development of new methods for collecting, processing, and