Quantum algorithm beats classical tools on complement sampling tasks

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Lab-grown brain tissue successfully solves a classic AI training problem

In a small lab at the University of California, Santa Cruz, clusters of mouse brain cells have taken on a task normally reserved for computer algorithms: ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Efficient Sample Preparation With Fully Programmable Valve Arrays

Abstract: The 2-D architecture of fully programmable valve arrays (FPVAs) is designed as a crossbar consisting of reaction chambers and microvalves, functioning as a versatile, flow-based microfluidic ...
IEEE

Design and Field-Programmable Gate Array Realization of a Multirate Multisampling Algorithm for Improving Signal-to-Noise Ratio in Pulse Compression Radars

Abstract: Due to the ongoing advancements in small unmanned systems (SUSs), the field of study on detecting targets with small radar cross section (RCS) areas is constantly expanding. Due to their ...