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 ...

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 ...

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 ...

Artificial intelligence is now an integral part of our daily lives, resulting in a pressing need for larger and more complex models. However, the demand for ever-increasing power and computing ...

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.

While AI streamers offer round-the-clock promotion at low cost, only those with human-like interaction come close to matching the persuasive power of real livestream hosts. Research: Artificial ...

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.

Sandia’s new brain-inspired AI can spot attacks and faults across the grid faster than humans, keeping the lights on and critical systems safe, from hospitals to solar farms, even under extreme ...

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 ...

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 ...

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 ...