X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
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 ...
1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
An important milestone for brain-computer interfaces has been achieved. A new peer-reviewed neuroscience study led by researchers at the University of California, Los Angeles (UCLA) demonstrates a ...
1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...
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 ...
This base64 encoder/decoder is faster than the stdlib base64 package. Encoding is 70% faster on ARM64 (Mac book M2) and 36% on AMD64 (i5 11th Gen). Decoding MIME encoded base64, which is base64 with a ...
Tech’s biggest players are all in on AV1, but competing codecs and technical limitations might be holding it back. Tech’s biggest players are all in on AV1, but competing codecs and technical ...
ABSTRACT: Convolutional auto-encoders have shown their remarkable performance in stacking deep convolutional neural networks for classifying image data during the past several years. However, they are ...