Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Facility would initially process 200,000 metric tons per year Goal to be online before Trump leaves office Companies decline to say whether in funding talks with US govt Seabed seen as mineral source; ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

SAN FRANCISCO, Jan 29 (Reuters) - Apple (AAPL.O), opens new tab on Thursday said it has acquired Q.ai, an Israeli startup working on artificial intelligence technology for audio. Apple did not ...

Brane Audio debuts RAD2 at CES 2026, previewing the Party Pro prototype and a radical new approach to deep bass that could reshape portable and wireless speakers. The easiest way to understand RAD is ...

SAM Audio is the first unified AI model that can segment sound from complex audio mixtures using text, visual, and time span prompts. This technology has the potential to transform audio and video ...

Audio emotion recognition plays a vital role in applications such as mental health assessment, customer service automation, and interactive systems. However, manually annotating emotional audio data ...

Finland has spent decades digging caves into its bedrock. Now, as Russia rears its head, nervous Finns want to know: “Where’s my shelter?” Credit... Supported by By Sally McGrane Visuals by Vesa ...

ICU patient monitoring forms the foundation for AI models to predict which sepsis patients will benefit from corticosteroid therapy, enabling personalized treatment decisions. Sepsis remains one of ...

When OpenAI released “study mode” in July 2025, the company touted ChatGPT’s educational benefits. “When ChatGPT is prompted to teach or tutor, it can significantly improve academic performance,” the ...

Neural Audio is a category of deep learning pipelines which output audio signals directly, in real-time scenarios of action-sound interactions. In this work, we examine how neural audio-based ...