Among people in prison, adding CXR or CRP to symptom screen was more effective than symptom screen alone. In addition to ...

Unethical or careless design choices often lead to unpredictable outcomes. Features that manipulate user behavior or ...

Historically, people have used stopwatches, cameras or trained eyes to assess walking and its deficits. However, recent technological advances such as motion capture, wearable sensors and data science ...

X-ray absorption spectroscopy (XAS) provides valuable information about a material’s properties and electronic states. However, it requires extensive expertise and manual effort for conventional ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

In an era where technology continues to evolve at a staggering pace, the integration of algorithms into healthcare decisions holds ...

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop.

Abstract: Machine learning algorithms are computational models that allow computers to acquire knowledge and improve performance on a task by automatically learning patterns and rules from input data ...

Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...

There has never been a time in history when algorithms, rather than humans, are making so many critical decisions.

Abstract: Traffic signal control (TSC) is a part of intelligent transportation systems to reduce traffic congestion and emissions. Recently, dynamic traffic signal control systems using artificial ...

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .