Neel Somani, a researcher specializing in mathematics, computer science, and business, has long explored the intersection between computational efficiency and human well-being. His work reflects an ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...

Theory and understanding underpin a great deal of experimentation and engineering. Working together experimentalists can be guided by theoretical predictions and theoreticians can refine their models ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Train professional engineers in advanced methods of engineering analysis and modeling for exploration, simulation and optimization of mechanical engineering systems. Develop theoretical understanding ...

Artificial intelligence has been growing in size. The large language models (LLMs) that power prominent chatbots, such as OpenAI’s ChatGPT and Google’s Bard, are composed of well more than 100 billion ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. In April 2023, Pew Research Center published an analysis of mission statements ...