Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...

Figure 1. STAMP workflow and downstream analysis. Dissociated cells or nuclei are immobilized on a slide, imaged (RNA +/- protein), and exported as an analysis-ready cell × feature matrix linked to ...

Anthropic's Mythos Preview was highly effective at finding vulnerability candidates, especially when analyzing source code.

With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...

"Reading Data" is a series on Python and machine learning for clinicians and medical researchers. We start by acquiring programming skills to sharpen our ability to "read and interpret" our own data.

Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

"Reading Data" is a series on Python and machine learning for clinicians and medical researchers. We start by acquiring programming skills to build the ability to "read and interpret" your own data.

Explore how AI analytics is transforming sports and esports betting through predictive models, real-time data processing, and ...

The South Florida Water Management District's Python Elimination Program has been a big success since it started in 2025.

Effective prompts use four core elements. Start by assigning a role, then give background context, state a clear task with an ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...