Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

When using SFTTrainer with large datasets that require long preprocessing times (over 30 minutes), the training process consistently fails due to a PyTorch ...

The EEG system in use for a neonatal patient. [Image courtesy of CeriBell] CeriBell (Nasdaq:CBLL) announced today that it received FDA 510(k) clearance for its next-generation Clarity algorithm. The ...

New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...

A new technical paper titled “AuthenTree: A Scalable MPC-Based Distributed Trust Architecture for Chiplet-based Heterogeneous Systems” was published by researchers at University of Central Florida and ...

TikTok’s algorithm and board of directors will be “controlled by America” as part of a deal reached with China earlier this week, White House press secretary Karoline Leavitt said Saturday, following ...

Abstract: In this paper, we propose a novel distributed scheduling algorithm for time-division multiple access (TDMA) in diffusion-based molecular communication systems. We consider a receiver nano ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...

An AI image generator that uses light to produce images, rather than conventional computing hardware, could consume hundreds of times less energy. When an artificial intelligence model produces an ...

Abstract: System modeling in distributed adaptive networks remains challenging under sensor aging-induced nonlinear data censoring and non-Gaussian interference. This brief proposes a robust ...