Razer is once again thinking big about what a gaming chair can do, and its concept for CES 2026 isn't just a chair but an entire multisensory experience to match whatever's happening on-screen. The ...
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 ...
The measure had little chance of consideration in the Senate, where it would need bipartisan support to move, but it reflected the priorities of the Republican majority. By Annie Karni and Aishvarya ...
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 ...
When you are capturing audio from a speaker, you are rarely capturing the actual direct output of such a system. There are reflections and artifacts caused by anything and everything in the ...
Victoria Pitts-Taylor is a member of the American Association of University Professors and the National Women's Studies Association. Elizabeth Anne Wood a senior strategist with the Woodhull Freedom ...
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 ...
New data out from the U.S. Census Bureau shows the gender wage gap widened in 2024 for the second year in a row. Median wages for men increased 3.7% by the Bureau’s measure, but were flat for women.
OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
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 ...
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