A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...

AI, or Artificial Intelligence, was a creation of the tech community. Imagine the same community now getting worried about its own creation. It is exactly what’s happening today at various levels. But ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

A production-ready Python development environment template using modern tools: uv for blazing-fast package management, Ruff for lightning-fast linting and formatting, ty for fast and reliable type ...

Google has added agentic vision to Gemini 3 Flash, combining visual reasoning with code execution to "ground answers in visual evidence". According to Google, this not only improves accuracy, but more ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] In this episode of eSpeaks, host Corey Noles ...