Center for Artificial Intelligence Innovation

Wednesday, February 26, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, March 5, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, March 12, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, March 19, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, March 26, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, April 2, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, April 9, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, April 16, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.

Wednesday, April 23, 2025

    • 3:00 - 4:00 pm
    • Electrical and Computer Engineering Room: 1013

    This Seminar covers topics on building and training ML models, ranging from beginner to complex, deep learning models trained on the Delta Supercomputer's multi-GPU nodes. This seminar is open to all, including graduate students, undergrads, and particularly domain scientists whose primary affiliation is not with a STEM program or department.