AlphaGenome: Google’s new AI tool that can decipher and predict DNA changes. How does it work?

A new AI model by Google DeepMind can decipher DNA and predict mutations, opening new doors for disease research. View on ...

DeepMind’s New AI Can Read a Million DNA Letters at Once—and Actually Understand Them

Artificial intelligence has gotten a bad reputation lately, and often for good reason. But a team of scientists at Google’s ...

People are swayed by AI-generated videos even when they know they're fake, study shows

Generative deep learning models are artificial intelligence (AI) systems that can create texts, images, audio files, and ...
IEEE

Sparse Autoencoder-Based Deep Learning Approach for Enhancing End-to-End Communication System Performance

Deep Learning (DL) has emerged as a transformative approach in artificial intelligence, demonstrating remarkable capabilities in solving complex problems once considered unattainable. Its ability to ...
IEEE

Multi-layer Structure Autoencoder for Deep Learning Using Kernel Method

Abstract: Deep learning performs feature extraction through a series of data transformations. Convolutional neural networks (CNNs) are among the most representative methods in deep learning. CNNs ...
The New York Times

A New, ‘Adorable’ Deep-Sea Fish Swims Into View

The bumpy snailfish, discovered 10,000 feet down off the coast of California, shows that not all denizens of the abyss are frightening. By Alexa Robles-Gil For an animal, surviving in the ocean’s ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Frontiers

Thyroid nodule segmentation in ultrasound images using transformer models with masked autoencoder pre-training

Introduction: Thyroid nodule segmentation in ultrasound (US) images is a valuable yet challenging task, playing a critical role in diagnosing thyroid cancer. The difficulty arises from factors such as ...