Abstract: The present portable communication devices need high speed data transmission to support different interfaces and display technologies. These communication devices transmit data between ...
Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...
Most clients can't read their cats. Tiffany Tupler, DVM, CBCC-KA, HABc, explains why this is a clinical problem and makes the case for using clinic visits to train clients in feline communication.
Abstract: In deep learning-based dehazing strategies, attention mechanisms are widely used to refine feature representations and improve overall performance. However, conventional contextual attention ...
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While ...
Living Models, a Paris–Berkeley startup, has raised $7 million in seed funding as it emerges from stealth to develop foundation models for biology trained on DNA, RNA, and multi-omics data aimed at ...
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