Beginner's Guide To Building Automated Trading Systems

The first component is the Market Data Gateway (or API Wrapper). This layer creates a persistent connection to the exchange's servers, translating raw 'JSON' or 'FIX' messages into clean Python data ...
IEEE

Efficient Segmentation Using Attention-Fusion Modules With Dense Predictions

Abstract: Fusing the multi-scale global and local semantic information remains a challenging task for foundation models with computational costs and the need for effective long-range recognition.
IEEE

Teaching GPR Data Processing Methods Using Jupyter Notebooks (from A-Scan to C-Scan)

Abstract: Ground Penetrating Radar (GPR) data processing is often performed using proprietary, GUI-based software that lacks flexibility for automation, customization, specialization, and integration ...
CNET

New Features Make NotebookLM More Flexible and Easier to Use

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...
InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...
GitHub

GitHub - David-Kyalo/gemini-from-scratch-DK: Educational Python workshop for building transformer-based language models from scratch using PyTorch. The project teaches modern ...

Educational Python workshop for building transformer-based language models from scratch using PyTorch. The project teaches modern LLM architectures through hands-on Jupyter notebooks and reusable ...