Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
It happens in less than a second. You look at your phone. A tiny camera captures your face. Then, you’re in. It’s so quick and easy, it feels like magic. But in the background, a small army of ...
Welcome to this little text preprocessing project! In this exercise, you will be working on cleaning up a text file containing text mistakes (for example OCR-errors) using Regular Expressions. The ...
Bio-tar, once seen as a toxic waste, can be transformed into bio-carbon with applications in clean energy and environmental protection. This innovation could reduce emissions, create profits, and ...
LITTLETON, Colorado, Sept 19 (Reuters) - Texas and California are driving U.S. clean power supplies to record highs so far in 2025, and are building a widening lead over the rest of the country in ...
Abstract: Deep learning models have greatly improved various natural language processing tasks. However, their effectiveness depends on large data sets, which can be difficult to acquire. To mitigate ...
House Republicans on Tuesday released text for a stopgap bill that funds the government at current levels through Nov. 21. Speaker Mike Johnson (R-La.) said the House plans to vote “by Friday” on the ...
If you’re reading this, it’s probably past time to clean your watch. Timepieces get a front-row seat to our lives and are exposed to lotions, sweat, perfumes, colognes and everything else we encounter ...
Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Section 1. Purpose. For too long, the Federal Government has forced American taxpayers to subsidize expensive and unreliable energy sources like wind and solar. The proliferation of these projects ...
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