Applied Machine Learning Conference (AMLC)

The Applied Machine Learning Conference (AMLC) is a two-day, in-person event that brings together data scientists, AI engineers, computational researchers, and other technical leaders from across the country. The conference provides a platform for professionals to share knowledge, learn from each other, and advance the fields of applied machine learning, AI, and scientific computing.

The first day features keynotes, standard conference talks, and plentiful networking opportunities. Attendees can learn from industry experts and academic researchers about the latest developments in data science and AI. The program includes presentations from notable speakers like Vicki Boykis, Founding ML Engineer at Malachyte, and David Luebke, Co-founder of NVIDIA Research.

Day two is filled with practical, 90-minute tutorials that dive deeper into the latest tools and techniques used by modern data science and AI professionals. These hands-on sessions allow participants to build their skills and learn new methodologies directly from experienced practitioners. The tutorial format provides an immersive learning experience that complements the theoretical knowledge gained from the first day’s presentations.

The conference attracts speakers from diverse backgrounds, including professionals from major tech companies like Amazon, Microsoft, NVIDIA, and IBM, as well as academic researchers from universities such as UVA, Georgetown, and NC State. This mix creates a rich environment where industry applications meet cutting-edge research.

Networking opportunities are woven throughout both days, allowing attendees to connect with fellow practitioners, share experiences, and build lasting professional relationships. The conference serves the broader machine learning community by creating connections between data scientists, engineers, and researchers who might not otherwise have the chance to collaborate.