Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

Overview: AI photo editors leverage machine learning to enhance images, from background removal to style adjustments, automatically.In 2026, these tools combine ...

AI algorithms, trained on historical data reflecting men's sports dominance, may be gatekeeping sports content on social ...

Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

A joint team of researchers from Constructor University and Constructor Technology have harnessed the power of machine learning to uncover new findings about human thyroid health. In a new study ...

In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...