The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

AI technology has brought many changes to the healthcare industry. Learn about the possibilities and challenges it creates in ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...

New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...

Abstract: Early disease detection is crucial for maximizing crop yields and minimizing financial losses in agriculture. In order to categorize leaf diseases in pepper, tomato, and potato plants, this ...

For decades, cybersecurity relied heavily on signature-based detection and static rule systems. These tools were effective ...

Written by Or Shalom Effective defense against threats such small, low-speed unmanned aerial systems (LSS – Low, Slow, Small) ...

Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Abstract: Intrinsic image decomposition decomposes an image into reflectance and shading. It has been applied in image editing, augmented reality, and geometry estimation. However, the complete ...

Federal legislators in the United States actively curate their digital footprints to project a specific professional identity ...