Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

While it's not ready to join the workforce yet, Atlas, an AI-powered humanoid, is learning how to do human tasks.

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...