Elon Musk’s AI company xAI has launched two standalone audio APIs — a Speech-to-Text (STT) API and a Text-to-Speech (TTS) API — both built on the same infrastructure that powers Grok Voice on mobile ...

AI is moving beyond software into physical music gear, with new hardware pedals from Roland, Polyend, and Groundhog Audio integrating machine learning for real-time sound manipulation. Meanwhile, ...

Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep learning ...

Gas pipeline rupture came amid surge in international prices Inflation should remain within target range, central bank economist says GDP seen expanding 3.5% in first month of 2026 LIMA, March 13 ...

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...

Chronic Coronary Disease (CCD) is a leading global cause of morbidity and mortality. Existing Pre-test Probability (PTP) models mainly rely on in-hospital data and clinician judgment. This study aims ...

New research shows models can be directly edited to hide selected voices, even when users specifically ask for them. A technique known as “machine unlearning” could teach AI models to forget specific ...

In today's data-driven economy, the ability to effectively manage, integrate, and leverage vast amounts of information is paramount to business success. Yet, many organizations find themselves ...

There’s a cat-and-mouse game between those using generative AI chatbots to produce text undetected and those trying to catch them. Many believe they know the telltale signs—though as a journalist fond ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

Abstract: Labeling large datasets for constructing a text normalization system is cumbersome and time-consuming. Although some self-supervised learning models can reduce the amount of training data ...