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.

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

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 ...

Cryo-electron microscopy (cryo-EM) can help scientists determine the three-dimensional structure of proteins in unprecedented detail. Jacques Dubochet, former group leader at EMBL, shared the 2017 ...

MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...

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

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

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 ...

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 ...