Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

As well as behavioural and technical issues, firms must also solve a variety of organisational problems to make AI work for ...

Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...

Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...

How do you translate ancient Palmyrene script from a Roman tombstone? How many paired tendons are supported by a specific ...

Musculoskeletal (MSK) conditions drive a large share of global pain, disability, and lost productivity. Rehabilitation can be effective, but outcomes vary ...

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026.

Computer scientist Alan Turing first posed this question in his landmark 1950 paper, though he didn’t use the term artificial ...