This course provides a comprehensive introduction to diffusion models and flow models for generative AI, covering both theoretical foundations and methodological advancements. The course is divided ...

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...

Deep learning is a branch of machine learning based on algorithms that try to model high-level abstract representations of data by using multiple processing layers with complex structures. One of the ...

Despite decades of progress in pharmaceutical R&D, the earliest phase of drug discovery—where molecules are conceived and designed—remains costly, inefficient, and burdened by high failure rates. Most ...

In the fast-moving world of artificial intelligence, nomenclature often lags behind innovation. What begins as technical jargon or an obscure project name quickly evolves into consumer branding. Then, ...

Researchers have tapped into the power of generative artificial intelligence to aid them in the fight against one of humanity’s most pernicious foes: antibiotic-resistant bacteria. Using a model ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

The timeline shows representative Generative AI technologies that were developed and refined during different historical periods. The color of each bullet point indicates the specific stage in the ...

Every cell in a body contains the same genetic sequence, yet each cell expresses only a subset of those genes. These cell-specific gene expression patterns, which ensure that a brain cell is different ...

Artificial intelligence is no longer confined to data crunching and automation; it's making profound inroads into the creative industries. Generative models like generative adversarial networks (GANs) ...