In the previous article, we analyzed the relationship between the 10-year Japanese government bond yield and the banking, financial, and real estate sectors. In this article, I will explain the Python ...

Code for "Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension" (Hari et al., 2026), to be published in CCN Proceedings (2026). Figure 1 from the paper. fMRI data ...

What does this project do? A USB camera connected to a Raspberry Pi continuously captures frames. OpenCV encodes each frame as a JPEG and sends it to the CircuitDigest Cloud Face Detection API via ...

Conventional spectrometers rely on optical encoding and computational decoding to resolve spectral information. Although computational spectrometers merge spectral encoding with photodetection, the ...

That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

Structural motifs are short, recurring arrangements of tertiary structural elements that form recognizable patterns in proteins and are often associated with stability, binding interactions or active ...

In Part 1 we covered the stack, Telegram setup, and face encoding. Now — the main loop and key design decisions. Multi-person recognition with a stored encoding database Motion-triggered activation to ...

Code for predicting EEG responses to natural images from vision and language model features, and for combining them in an early-fusion ridge encoding model. The pipeline covers the full path from the ...

Multi-factor authentication (MFA) was supposed to close a critical gap in identity security. It meant that, even if an attacker possessed the account credentials, they couldn't log in without the ...