Computer Science

Nikita Soni, PhD student, on “Human-Centered Large Language Modeling”

On Tuesday, November 19, 2024, Nikita Soni, PhD student from the Department of Computer Science, presented the third lecture of the fall 2024 STEM Speakers Series at the University Libraries. Nikita discussed the lack of diverse human context in natural language processing (NLP) models pre-LLMs (large language modeling) era. To

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Dr. Jesus Rios on “Can a machine learn chemistry?”

On Tuesday, October 29, 2024, Dr. Jesus Rios from the Department of Physics presented the second lecture of the STEM Speaker Series at the University Libraries. Dr. Rios first discussed how he and his research team used artificial intelligence (AI) to predict molecular properties of diatomic molecules. They found that

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Recap on April and May STEM Events at the University Libraries

1) On April 11, 2023: Dr. Supartha Podder on “Understanding quantum computing advantages” During the lecture, Dr. Supartha Podder discussed that a supercomputer, which is a classical computer, is very powerful, but it cannot simulate larger systems. Building a computer based on quantum mechanics would be ideal for solving very

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Dr. Carlos Simmerling on “Using computer simulations to model the SARS-CoV-2 spike glycoprotein and block COVID-19 infection”

On September 22, 2020, Dr. Simmerling discussed the use of computer models to complete the currently unknown, pivotal regions of coronavirus spikes.  Knowing more about these pivotal regions of coronavirus spikes could help with identifying drugs that have the potential to neutralize all coronaviruses. The online event attracted local, national,

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STEM Speaker Series: “Using computer simulations to model the SARS-CoV-2 spike glycoprotein and block COVID-19 infection” with Dr. Carlos Simmerling

Curious about how scientists develop drugs for COVID-19? Spend an hour with our STEM speaker, Dr. Carlo Simmerling from the Department of Chemistry, and Laufer Center for Physical and Quantitative Biology to learn about “Using computer simulations to model the SARS-CoV-2 spike glycoprotein and block COVID-19 infection.” Date/Time: Tuesday, September

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