A new medical large language model (LLM) achieved over 91 percent accuracy in identifying female participants diagnosed with ...

Abstract: Forensic audio transcription is often compromised by low-quality recordings, where indistinct speech can hinder the accuracy of conventional Automatic Speech Recognition (ASR) systems. This ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Washington, Nov. 25, 2025—The World Bank Board of Executive Directors today approved two projects in India that will benefit more than 6 million people by using innovative digital solutions to improve ...

At Ben Gurion Airport in Tel Aviv a few weeks ago, about to fly back to New York, I handed my passport to two young border officers. One of them examined it and handed it to the other with a puzzled ...

A deep learning project that trains a Multi-Layer Perceptron (MLP) to classify speaker gender from voice audio using MFCC features. Input Layer (13×40 MFCC matrix) ↓ Flatten Layer (520 neurons) ↓ ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

The Rock stars in the film as Chicken Man, a man in his seventies trying to find a secret society of lizard musicians. “Lizard Music” though is even stranger, a book adaptation that concerns lizard ...

Spectroscopic analysis is essential in modern astronomy, as spectra encode a wealth of physical information through their characteristic features, such as absorption and emission lines. These spectral ...

A Global Problem: The research suggests that up to 50% of the world's population, around 4 billion people, rely on washing clothes by hand. This burden is most concentrated in low and middle income ...