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.

From replacement selection to BRD resilience, tissue sampling units provide a fast, clean and reliable path to the genomic ...

Heating Mugs Actually Work? There are a lot of ways to get your caffeine fix: espresso machine, pour-over, French press, moka ...

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 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 ...

Abstract: The increasing use of electrical machines (EM) across industrial sectors requires reliable ground fault (GF) detection schemes. In this context, stator GFs resulting from insulation ...

Abstract: In the digital era, effective Transaction Fraud Detection (TFD) is essential to ensuring financial security. The considerable class imbalance, with legitimate transactions vastly ...

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across ...