AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

We introduce GRouNdGAN, a gene regulatory network (GRN)-guided reference-based causal implicit generative model for simulating single-cell RNA-seq data, in silico perturbation experiments, and ...

A generative model uses artificial intelligence (AI) and statistical and probabilistic methods to create representations or abstractions of observed phenomena or target variables. These ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify how you can use generative AI ...

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) ...

A new company, Deep Cogito, has emerged from stealth with a family of openly available AI models that can be switched between “reasoning” and non-reasoning modes. Reasoning models like OpenAI’s o1 ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and ...

Raina Biosciences Inc. (Raina), an mRNA technology and therapeutics company, has released data from its generative AI platform in Science. The data supports Raina's pioneering approach to mRNA design ...

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 ...

A new deep learning framework called MedFusionNet combines diffusion-based synthetic MRI generation with a fusion of three ...

OpenAI is negotiating with an unnamed startup over deep access to Sora to build AI video tools for filmmakers amid Hollywood copyright concerns.