Scientists from Trinity and Technical University of Denmark have developed a new radar-based technique that could address a critical gap in global conservation efforts, by transforming how we identify ...

I’ve been writing and editing technology articles for more than seven years, most recently as part of PCMag's software team. I am responsible for content in the AI, financial, graphic design, ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. New research from Hiya puts a number on something a lot of people have suspected: one in ...

Kendra Pierre-Louis: For Scientific American’s Science Quickly, I’m Kendra Pierre-Louis, in for Rachel Feltman. Wildlife poaching is a serious issue in many parts of the world. One way of monitoring ...

The best part of the Windows ecosystem is that it offers a lot of cool, useful free software for the operating system. Free software is the heart of Windows 11/10, and if you want to get the best out ...

OpenAI Group PBC is reportedly developing a new artificial intelligence model optimized for audio generation tasks. The Information today cited sources as saying that the algorithm will launch by the ...

Anna Gragert (she/her/hers) was previously the lifestyle editor at HelloGiggles, the deputy editor at So Yummy and the senior lifestyle editor at Hunker. Over the past 12 years, Anna has also written ...

Music, a universal language and cultural cornerstone, continues to shape and enhance human expression and connection across diverse societies. This study introduces SpectroFusionNet, a comprehensive ...

The VOlcano Infrasound & Seismic Spectrogram Network (VOISS-Net) is a pair of Convolutional Neural Networks (one for seismic, one for acoustic) that can detect volcanic tremor and other relevant ...

In November 2020, a truly extraordinary rogue wave was recorded off the coast of British Columbia, Canada. Measuring 17.6 meters (58 feet) in height, the wave was captured by a MarineLabs buoy, making ...

Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson’s disease. These approaches rely on different types of data with ...