CSI 5180. Topics in Artificial Intelligence: Machine Learning for Bioinformatics

Description

Machine learning theories and methods with applications to biological sequence data, gene expression, genomics and proteomics.

Figure 1: Created with DALL·E 3 using the following prompt: Produce a high-definition, widescreen (1792x1024 pixels) image depicting a singular, gender-neutral AI persona whimsically engaging with a transformation from a neural network pattern to a molecular structure. This artwork should fuse elements of Cubism, Expressionism, and Surrealism, aiming to connect on both a deeply personal and a broad, universal level. A palette of gentle, pastel colors will illustrate the convergence of computational and biological sciences, underscoring the indispensable role of AI in the field of bioinformatics. The composition seeks to blend the elaborate charm of Cubist art with the meticulous accuracy of contemporary scientific research, all within a harmonious, pastel-toned aesthetic. The image is expected to showcase a delicate balance between precision and fluidity, symbolizing the interaction between mechanical and organic elements in a purposeful yet playful approach. Utilizing watercolors should impart a soft, ethereal ambiance to the scene, with pastel hues offering nuanced contrasts and blends, thereby fostering a dreamlike, surreal environment. The backdrop, featuring a monochromatic gradient, will subtly transition in color, enhancing the depth and atmospheric quality of the overall piece. Created on 2024-02-22.