MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

The ocean regulates Earth’s climate, supports immense biodiversity and sustains billions of livelihoods, yet it remains under-sampled across many regions ...

Introduction Antimicrobial stewardship efforts in low- and middle-income countries (LMICs) largely focus on qualified ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...

A technology developed at the Technion enables ordinary users to create realistic video clips intuitively, without the need ...

Discover how a new technique that captures chemical arrangements across materials can improve predictions of how complex ...

British computing technology company Signaloid today announced the release of the Signaloid Compute Engine Amazon Machine Image (AMI) via AWS Marketplace. The release enables organizations to deploy ...

Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks continue to pose significant threats to networked systems, causing disruptions that can lead to substantial financial ...

Abstract: Dueto various kinds of stator phase arrangements, existing fault diagnosis (FD) methods cannot be applied to different types of multiphase machines. Spurred by the era of big data and ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...