Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

In Q4/25, Upstart (UPST) delivered 64% YoY revenue growth, increasing profitability, and strong guidance for 2026 through 2028. The company's machine learning lending model outpaces difficult macro ...

Researchers at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk ...

Abstract: This paper introduces a deep reinforcement learning-based block coordinate descent (DRL-based BCD) algorithm to address the nonconvex weighted sum-rate maximization (WSRM) problem with a ...

Data collected from 35 American cities showed a 21% decrease in the homicide rate from 2024 to 2025, translating to about 922 fewer homicides last year, according to a new report from the independent ...

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...

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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 ...

The accurate estimation of atmospheric turbulence dissipation rate (ε) is crucial for better characterizing the atmospheric physical processes and understanding the boundary layer structure.