Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

This valuable manuscript addresses the longstanding question of how the brain maintains serial order in working memory, proposing a biologically grounded model based on synaptic augmentation ...

To gain public trust in distributed computing, addressing concerns related to privacy and security while ensuring high performance and efficiency is crucial. Multiparty computation, differential ...

As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to modern microservices architectures—I’ve watched the AI boom with growing concern ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

For future networks, it is highly demanding to satisfy a wide range of time-sensitive and computation-intensive services. This is a very challenging task, since it requires a combination of aspects ...

Hello, would it be possible to an inference model with 2 GPUs in a way that I can distribute the computation over both of them, effectively doubling the amount of VRAM I have to run the model? I am ...