IEEE

Deep Quasi-Recurrent Self-Attention With Dual Encoder-Decoder in Biomedical CT Image Segmentation

Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...
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 ...
ien

Housed and Unhoused Modular Absolute Encoders

Lika Electronic offers a comprehensive range of housed and unhoused absolute modular encoders. These encoders excel in their miniature size, minimal weight, and high resolution. Furthermore, both the ...
The Verge

‘All chaos and panic’: Nilay answers your burning Decoder questions

Posts from this topic will be added to your daily email digest and your homepage feed. Welcome to our end-of-year Decoder special! Senior producers Kate Cox and Nick Statt here. We’ve had a big year, ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...