Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.

The five-day-long AI Impact Summit 2026, held in the national capital, saw significant innovations and applications being displayed, focused on accelerating the digitalisation of ...

AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.

PIXELHUE’s response is what it describes as an optimal dual-stream AVoIP solution designed specifically for 1Gb networks. At the heart of the platform is a dual-stream PD3 architecture integrating ...

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each ...

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort the image of rural and urban regions. As such, many remote sensing images ...

Artificial intelligence has taken the world by storm. In biology, AI tools called deep neural networks (DNNs) have proven invaluable for predicting the results of genomic experiments. Their usefulness ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Video now drives public accountability and viral outrage alike. But bias, editing, delays and AI mean even powerful evidence needs scrutiny.

As artificial intelligence becomes more advanced and common, it's hard to know what's real or not, complicating the search ...

Understanding book readers’ imaginations could lead to better mental health therapies, according to research. A new tool to understand how people imagine differently when reading has potential ...