Scientific Research Publishing

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

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...

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 reflections.
IEEE

Segmenting Brain Tumor from MRI using an Efficient Encoder-Decoder-based DeepLabv3+ Architecture

Abstract: Optimized brain tumor segmentation is necessary for enhancing diagnostic and treatment accuracy. Traditional machine learning-based segmentation techniques are time-consuming, require expert ...
marktechpost

Google DeepMind Introduces Unified Latents (UL): A Machine Learning Framework that Jointly Regularizes Latents Using a Diffusion Prior and Decoder

Generative AI’s current trajectory relies heavily on Latent Diffusion Models (LDMs) to manage the computational cost of high-resolution synthesis. By compressing data into a lower-dimensional latent ...
IEEE

An Encoder–Decoder Model Based on Spiking Neural Networks for Address Event Representation Object Recognition

Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...