Launching a new pharmaceutical product is a high-stakes endeavour. Over the past decade, nearly 40% of launches have fallen short of expectation, often at a significant financial loss. During the ...
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From the lab to the living room: Decoding Parkinson's patients' movements in the real world
Scientists have traditionally studied how the brain controls movement by asking patients to perform structured tasks while connected to multiple sensors in a lab. While these studies have provided ...
Recent advances in machine learning have shown that deep neural networks (DNNs) can provide powerful and flexible models of neural sensory processing. In the auditory system, standard linear-nonlinear ...
Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...
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.
DFlash is a lightweight block diffusion model designed for speculative decoding. It enables efficient and high-quality parallel drafting. We will also open-source the training recipe soon, so you can ...
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