With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...

ABSTRACT: Our research focuses on the detection of M. ulcerans (Mycobacterium ulcerans), etiological agent of Buruli ulcer, and the analysis of the spectra of the optical properties of human skin by ...

We propose TraceRL, a trajectory-aware reinforcement learning method for diffusion language models, which demonstrates the best performance among RL approaches for DLMs. We also introduce a ...

OAK BROOK, Illinois (WBBM) — At a fashion show in Oak Brook, Illinois, the models don’t need designer looks to show off their style. For them, fashion is about feeling. “Intrinsically, I have the ...

Abstract: Diffusion models generate high-quality images through progressive denoising but are computationally intensive due to large model sizes and repeated sampling. Knowledge ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

Objective: This study aims to investigate the application value of fractional-order calculus (FROC) and continuous-time random-walk (CTRW) derived multiple parameters in distinguishing benign and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. While it is very common to model diffusion as a random walk by assuming memorylessness ...

Researchers at the University of California San Diego and other institutions are working on a way to make a type of artificial intelligence (AI) called diffusion models — a type of AI that can ...