After nearly nine years at Sonos, including a stint as chief product officer, Bouvat-Merlin took the helm of Sauron just last ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

Google has introduced multiple TPU generations, each optimized for specific workloads, from cost-efficient training to high-performance inference. The new Ironwood TPU is designed explicitly for ...

The University of Minnesota’s Board of Regents today unanimously approved a bold new strategic roadmap that charts a unified, forward-looking vision for the state’s flagship land-grant institution.

ABSTRACT: Health economic evaluations within surgical disciplines face considerable methodological hurdles, particularly in relation to cost-effectiveness analyses (CEA) and budget-impact modelling ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

Abstract: This research employs structural topic modeling (STM) to analyze the evolving landscape of machine learning (ML) methodologies in antenna design. By examining a corpus of scholarly ...

Abstract: In current education field, in order to learn and teach some important knowledge, students and teachers have to pay more attention to search some related articles. This is very ...

Community driven content discussing all aspects of software development from DevOps to design patterns. This exam measures your ability to apply machine learning knowledge in the AWS environment. It ...