marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
WJBF

AsReader Launches ASR-M30S SLIM-Type Smartphone-Mounted RFID Reader/Writer

Note the slimness of the ASR-M30S SLIM-Type RFID reader/writer at only 10 mm, less than 1/2 an inch thick ASR-M30S with iPhone and GooglePixel Technical call outs for ASR-M30S SLIM-Type ...
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 ...
Scientific Research Publishing

Explore Anomaly-Aware Transformers for Robust Financial Time Series Forecasting ()

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...
IEEE

Temporal Convolutional and Fusional Transformer Model With Bi-LSTM Encoder-Decoder for Multi-Time-Window Remaining Useful Life Prediction

Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of this process; ...
IEEE

Detecting DeFi Fraud With a Graph-Transformer Language Model

Abstract: With the rapid development of blockchain technology, the widespread adoption of smart contracts—particularly in decentralized finance (DeFi) applications—has introduced significant security ...