Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference.

People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also communicate with each other, sometimes by touching and sometimes by sending signals ...

October 12, 2022 : Pretrained models for CelebA generation using blur and animorphs, and AFHQ generation using blur, added to our drive. We use the create_data.py file to split data into individual ...

Abstract: For distributed estimation arising in the nonlinear least squares (NLLSs) problems over adaptive networks, where every node has the abilities of data processing and learning, only the ...

@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...

Abstract: With the widespread adoption of mobile smart devices and the Internet, a new paradigm known as Mobile Crowdsourcing (MCS) has emerged, which can provide efficient execution of large-scale ...

A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...

Photovoltaic power generation systems 1 mainly include core components such as a controller, battery, inverter, and solar cell. Solar cells can convert solar energy into electricity by using the ...

Correspondence to Dr Matteo Renzulli, Department of Medical and Surgical Sciences, Sant’Orsola Hospital, University of Bologna, Bologna 40126, Italy; matteo.renzulli{at}aosp.bo.it Objective Many ...

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 ...

Betweenness centrality is one of the key measures of the node importance in a network. However, it is computationally intractable to calculate the exact betweenness centrality of nodes in large-scale ...

Sampling from a given probability distribution is fundamental across various disciplines, including physics, signal processing, and artificial intelligence. In recent years, the ascendancy of flow, ...