Now, a research team led by Cranfield University is addressing the challenge of balancing the advantages of automation with the need to ensure safety, fairness, and ethical use by developing a ...

A cutting-edge AI model, powered by drone imaging, provides farmers with a faster and more reliable way to pinpoint high-yield wheat varieties, paving the way for climate-resilient crops and enhanced ...

While AI scribes are heralded as a breakthrough for reducing documentation burdens, experts caution that unanswered questions on reliability, ethics, and patient safety must be addressed before ...

Artificial intelligence (AI) is often associated with supercomputers and massive data centers, but Kennesaw State University researcher Bobin Deng is aiming for something more accessible through a new ...

A pioneering study led by the University of Oxford in collaboration with international partners has applied AI for the first time to count the Great Wildebeest Migration from satellite images.

From waste oils to algae, deep learning models are unlocking new efficiencies in biodiesel production, helping researchers and manufacturers overcome cost, sustainability, and scalability hurdles in ...

Equipped with AI and advanced imaging tools, aerial robots from the University of Minnesota offer a game-changing solution to track and analyze wildfire smoke, with far-reaching implications for air ...

Environmental science integrates diverse disciplines, such as ecology, hydrology, and climate science, requiring models that can understand specialized jargon and heterogeneous data. While ...

A breakthrough light-based chip could revolutionize AI by cutting energy demands while preserving high performance, paving the way for faster and greener computing systems. A new semiconductor chip ...

Researchers have unveiled a pioneering framework showing how generative AI can transform supply chain management, boosting forecasting, logistics, and resilience while paving the way for sustainable ...

Traditional robot navigation methods either require detailed maps or assume accurate localization is always available, assumptions that break down in indoor or unfamiliar environments. Visual ...

A new gold-standard dataset reveals how hard it is to get accurate emissions data from company reports, even for AI, raising questions about the reliability of automated climate accountability tools.