Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...
Deploying DFlash block diffusion on NVIDIA hardware accelerates autoregressive LLMs during latency-sensitive inference. Autoregressive large language models generate tokens sequentially. This ...
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 ...
Students increasingly use AI chatbots for anything from academic queries to emotional quandaries. But are they missing out on the chance to make their own mistakes? Three undergrads reveal all … ...
This is the official implementation for our NeurIPS 2025 paper "Scaling Diffusion Transformers Efficiently via μP". We verify that μP enables stable hyperparameter (HP) transfer from small to large ...
ABSTRACT: A kinetic 5-vertex model is used to investigate hexagon-islands formation on growing single-walled carbon nanotubes (SWCNT). In the model, carbon atoms adsorption and migration processes on ...
Doom has been ported to dozens of devices, but it's never been playable quite like this. Google researchers have now generated an AI version of the retro first-person shooter classic entirely via ...
Real-world low-resolution (LR) videos have diverse and complex degradations, imposing great challenges on video super-resolution (VSR) algorithms to reproduce their high-resolution (HR) counterparts ...
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