Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

Autumn Gardiner thought updating her driving license would be straightforward. After getting married last year, she headed to the local Department of Motor Vehicles office in Connecticut to get her ...

Abstract: Machine learning, particularly deep learning, typically achieves high facial emotion image recognition accuracy benefiting from multiple labeled data. However, the datasets usually contain ...

Trevis Williams is eight inches taller than a man accused of flashing a woman in Union Square in February. The police arrested him anyway. Credit...Natalie Keyssar for The New York Times Supported by ...

Abstract: The consumption of image data by machines is rapidly increasing due to the growing adoption of image recognition technologies. This trend has accelerated research in image compression ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and human-made ...

Researchers have applied object recognition technology to track changes in brain cell structure and provide new insights into how the brain responds to heroin use, withdrawal and relapse. Object ...