Google Search is adding new features to Personal Intelligence in AI mode, allowing it to pull context from Gmail and Photos so it can answer questions that depend on your own history.

Learn the Ralph cycle for smarter AI work with Claude Code, using a bash script, a task plan, and staying within the 30–60% ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

A Complete Python client package for developing python code and apps for Alfresco. Great for doing AI development with Python based LangChain, LlamaIndex, neo4j-graphrag, etc. Also great for creating ...

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Breaking into 4 independent services means: Scale each based on actual need (crawler needs 10 instances, matcher needs 2) Test one piece at a time (ship faster, iterate publicly) Different tech ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...

The Quanser SDK Examples repository provides C and Python examples utilizing the Quanser HIL API (Hardware Interfacing Layer) and Quanser Stream API (for communications). The Quanser SDK Examples are ...

Abstract: The development of online education has brought about a massive amount of online learning behavior data. How to fully utilize and analyze these data is a research hotspot of concern in ...