Scientific Research Publishing

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily Behavioural Trajectories ()

A Lightweight Self-Supervised Representation Learning Framework for Depression Risk Profiling from Synthetic Daily ...

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 ...

Apple’s new AI model recreates 3D objects with realistic lighting effects from a single image

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects ...
TV News Check on MSN

Broadcasters brace for another C-band squeeze

With not enough spectrum to go around to distribute the current load of programming, terrestrial IP, Ku-band weighed as ...
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 ...
IEEE

FastSAM-CD: Remote Sensing Image Change Detection Using Vision Foundation Models with Stronger Encoder and Decoder

Abstract: Remote sensing image change detection (RSICD) is a crucial technique for Earth observation. However, the mainstream RSICD methods still face two main challenges. First, the encoding stage ...
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 ...
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 ...