Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.
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 ...
ABSTRACT: Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction ...
Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder ...
NANJING, China—Magewell will showcase the latest addition to its Pro Convert product line and introduce a new family of Pro Convert devices during InfoComm 2025, June 11-13, at the Orange County ...
Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
With AV1 hardware decode on mobile devices stuck in the mid-to-low teens as of 2025, and with VVC at zero, it’s clear that the race to supplant H.264 and HEVC will be contested with software-only ...
As AI glasses like Ray-Ban Meta gain popularity, wearable AI devices are receiving increased attention. These devices excel at providing voice-based AI assistance and can see what users see, helping ...
1 College of Information Engineering, Xinchuang Software Industry Base, Yancheng Teachers University, Yancheng, China. 2 Yancheng Agricultural College, Yancheng, China. Convolutional auto-encoders ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback