AI can transfer strange qualities through seemingly unrelated training—from a love of owls to something more dangerous ...

Since its release in 2024, the open-source platform BindCraft, developed at EPFL, has already disrupted the world of protein design. Physical interactions between proteins influence anything from cell ...

Modern AI systems are no longer built around a single model that handles every task. Instead, they rely on collections of models, each designed for specific purposes. At the center of this setup is ...

Even if data are removed from a system, it’s possible that an AI model may still be retaining the ‘lessons’ it learned from ...

Learn to build a real-time sign language detection system with AI, using DETR for accessibility and innovation. Bridging ...

Over the past decade, advancements in machine learning (ML) and deep learning (DL) have revolutionized segmentation accuracy.

In this work, we proposed a novel generative model: deep variational autoencoder (DVAE) to tackle the challenge of insufficient data and incomplete supervision. The experimental results showed that ...

Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech Jaehyeon Kim, Jungil Kong, and Juhee Son In our recent paper, we propose VITS: Conditional Variational ...

The autoencoder (AE) is a fundamental deep learning approach to anomaly detection. AEs are trained on the assumption that abnormal inputs will produce higher reconstruction errors than normal ones. In ...