Opinion
CIOOpinion

AI isn’t failing, people are failing with AI

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
IEEE

Adaptive Cyclic Learning Rate for Long-Term Time-Series Forecasting on Encoder-Decoder and Encoder-Only Deep Learning Model Architectures

Abstract: Long-term time-series forecasting remains a critical challenge, with deep learning models often facing persistent training instability. This study reveals a critical insight: the ...
IEEE

QoS Prediction for Satellite-Based Avionic Communication Using Transformers

Abstract: Satellite-based communication systems are crucial for providing high-speed data services in aviation, particularly for business aviation operations that demand global connectivity. These ...
GitHub

vLLM BART Model Plugin

BART is an encoder-decoder model that is particularly effective for sequence-to-sequence tasks like summarization, translation, and text generation. Florence-2 is a vision-language model from ...
CNX Software

AOMedia AV2 video codec draft specification release, and a quick try at the reference implementation

After 5 years of work and over 2700 commits against the reference software, the Alliance for Open Media (AOMedia) has recently released the AV2 specification. This next-generation open video codec ...
GitHub

Polymathic's Large Omnimodal Model for Astronomy

AION-1 is a cutting-edge large omnimodal model specifically designed for astronomical surveys. It seamlessly integrates multiple data modalities, and enables simple adaptation to a wide range of ...