TVBEurope

Matrox Video’s encoders/decoders built into Rai’s IP workflow

The ConvertIP DSS and DSH models support SDI- and HDMI-to-ST 2110 conversion, as well as providing monitoring capabilities ...

Apple unveils AI model that creates lifelike 3D objects from just one photo

Apple has introduced a new AI model that can turn a single image into a realistic 3D object with accurate lighting and ...
EurekAlert!

A domain generalization method for EEG based on domain-invariant feature and data augmentation

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...
Microsoft

Paza: Introducing automatic speech recognition benchmarks and models for low resource languages

According to the 2025 Microsoft AI Diffusion Report approximately one in six people globally had used a generative AI product. Yet for billions of people, the promise of voice interaction still falls ...
University of Geneva

Clonability of anti-counterfeiting printable graphical codes: a machine learning approach

Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine learning approach," in Proc. IEEE International Conference on Acoustics, ...
GitHub

Evaluation of encoder and decoder models on SuperGLUE

I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...