This talk will trace the evolution of modern generative AI—from the core principles and architectures that power large-scale language models to their adaptation for understanding and designing proteins. You’ll learn how techniques like self‑supervised learning, attention mechanisms, and transformer scaling have been repurposed to capture the “language” of amino acid sequences, enabling breakthroughs in structure prediction, functional annotation, and de novo protein design. By the end, you’ll see how foundational AI research is unlocking entirely new frontiers in biology and bioengineering.
10 luglio 2025