Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

With agentic AI on board, companies must rethink their very makeup: how work is designed, how decisions are made, and how ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Over the past two years, their 200-person unit, known as systematic investing, has raked in at least $40 billion of new money ...

Abstract: Cooperative control of multiple high-speed trains (MHSTs) is considered as a pivotal technology for enhancing the safety and efficiency of train groups. This study investigates the problem ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. They ...

His core work centers on building intelligent control architectures designed to make industrial facilities run with better ...

This year, the researchers announced they had designed two antibiotics to go after superbugs. The AI combined millions of ...

The convergence of nuclear technology and artificial intelligence is no longer a far-off possibility, but rather an ...

Recent Gartner research also emphasizes role of neoclouds in solving the cost, agility, and supply challenges to AI development ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

If you’ve shopped on Amazon in the past few months, you might have noticed it has gotten easier to find what you’re looking ...