IEEE

A Hybrid Feature Extraction and Classification Framework for Depression Detection using Deep Learning and Machine Learning Techniques

Abstract: Depression is most common mental disorder that is affecting approximately 280 million individuals in the world. The stigma and lack of acceptance and awareness is still influencing people ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...

AI boosts bird sound identification accuracy

In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The ...
IEEE

Asteroid Orbit Classification with Machine Learning: A Data-Driven Approach

Abstract: Classifying asteroid orbits is crucial for understanding solar system dynamics and improving planetary defense mechanisms. Traditional classification methods, which depend on manual ...
GitHub

AVF-MAE++ : Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning

Abstract: Affective Video Facial Analysis (AVFA) is important for advancing emotion-aware AI, yet the persistent data scarcity in AVFA presents challenges. Recently, the self-supervised learning (SSL) ...
about.fb

Our New SAM Audio Model Transforms Audio Editing

SAM Audio is the first unified AI model that can segment sound from complex audio mixtures using text, visual, and time span prompts. This technology has the potential to transform audio and video ...