Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

AI could soon spew out hundreds of mathematical proofs that look "right" but contain hidden flaws, or proofs so complex we ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

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 ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...

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.