Wireless in vivo neuropharmacology and optogenetics offer a powerful way to link molecular signaling, defined neural populations, and behavior in freely moving animals. However, existing implantable ...

Controlling soft robots is challenging due to their complex, nonlinear dynamics. We show that a bio-inspired reservoir computing approach enables the control of a simulated musculoskeletal bio-hybrid ...

The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...

Emerging artificial intelligence for science (AI-for-Science) algorithms, such as the Fourier neural operator (FNO), enabled fast and efficient scientific simulation. However, extensive data transfers ...

Generative artificial intelligence, or GenAI, uses sophisticated algorithms to organize large, complex data sets into meaningful clusters of information in order to create new content, including text, ...

we have updated API to add compatibility with Cellpose4 changes. u-Segment3D should work with cellpose>=4.0.5. If this is not available from pip, you will need to ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Mass spectrometry is a ubiquitous technique capable of complex chemical analysis. The ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

Various modern applications of computer science and machine learning use multidimensional datasets that span a single expansive coordinate system. Two examples are using air measurements over a ...