Decoding immune system cellular pathways one enzyme at a time

Deep in our cells, a wide range of processes are occurring constantly. These cellular processes rely on enzymes to act as catalysts and set off a series of molecular interactions. There are still many ...
Frontiers

Real-world federated learning for the brain imaging scientist

The final, formatted version of the article will be published soon. Background. Federated learning (FL) could boost deep learning in neuroimaging but is rarely deployed in a real-world scenario, where ...
GitHub

Speculative decoding is not supported for batched MLX models. Can't turn off batching

[batched_model_kit][INFO]: Loading model from /Users/ilyabelyaev/.lmstudio/models/lmstudio-community/Qwen2.5-0.5B-Instruct-MLX-4bit ...
IEEE

Set-Membership State Estimation With Multi-Rate Measurements: An Encoding-Decoding-based Half-Duplex Relay Communication Scheme

Abstract: This paper investigates the set-membership state estimation problem for a class of networked time-varying systems with multi-rate measurements over half-duplex relay communication networks.
GitHub

FastVLM: Efficient Vision Encoding for Vision Language Models

We introduce FastViTHD, a novel hybrid vision encoder designed to output fewer tokens and significantly reduce encoding time for high-resolution images. Our smallest variant outperforms ...
Frontiers

Decoding the neural dynamics of everyday prospective remembering: a hidden Markov model approach

Introduction: Prospective memory (PM)—the ability to form, maintain, and execute delayed intentions—is essential for everyday functioning. Traditionally, PM paradigms relied on repetitive tasks and ...