New Apple model combines vision understanding and image generation with impressive results

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
IEEE

CGM-Based Blood Glucose Prediction Model With LSTM Encoder–Decoder Architecture

Abstract: Accurate prediction of blood glucose levels is crucial for automated treatment in diabetic patients. This study proposes a blood glucose prediction model based on an improved attention ...
IEEE

A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention

Abstract: Skin cancer poses a significant global health challenge due to its increasing incidence rates. Accurate segmentation of skin lesions is essential for early detection and successful treatment ...
the-decoder

Alibaba's new open Qwen image model aims for more natural-looking results

Alibaba has released Qwen-Image-2512, an update to its text-to-image model. The company says the new version does a better job generating realistic images of people, with finer facial detail and less ...
GitHub

Encoder/Decoder Issue??? #1312

[2025-12-30 10:57:32.369]: Info: [libx264 @ 000001a6cea885c0] frame I:2 Avg QP:10.49 size: 18306 [2025-12-30 10:57:32.369]: Info: [libx264 @ 000001a6cea885c0] frame P ...
GitHub

mikesmitty/rp24-dcc-decoder

DIY DCC decoder for model railroad locomotives in an E24 form factor, powered by an RP2350 (Raspberry Pi Pico 2) - mikesmitty/rp24-dcc-decoder ...
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 ...