JetBrains shifts to agentic dev with Central, retires pair programming

Dev tooling biz JetBrains has previewed Central for agentic AI software development but will retire the Code With Me human ...

Oracle Corporation (ORCL) unveils Java 26 with AI and cryptographic functionality for developers

Oracle Corporation (NYSE:ORCL) is one of the best forever stocks to buy now. On March 17, Oracle Corporation (NYSE:ORCL) ...
ET CIO

Legacy Language Migration in the AI Era: Expert Insights on How CIOs Can Reduce Technical Debt and Accelerate Code Modernisation with AI

Discover how CIOs can leverage AI to modernize legacy programming languages, reduce technical debt, and enhance operational ...
IEEE

Can we explain natural language inference decisions taken with neural networks? Inference rules in distributed representations

Abstract: Natural Language Inference (NLI) is a key, complex task where machine learning (ML) is playing an important role. However, ML has progressively obfuscated the role of ...
How-To Geek on MSN

Your first programming language should be Go, not JavaScript

Discover why Go's simplicity, built-in tools, and clear structure might take a strong starting point compared to JavaScript.
InfoQ

Java 26 Delivers Language Innovation, Library Improvements, Performance and Security

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...
GitHub

The One Billion Row Challenge

This will take a few minutes. Attention: the generated file has a size of approx. 12 GB, so make sure to have enough diskspace. If you're running the challenge with a non-Java language, there's a ...
IEEE

Automatic programming via large language models with population self-evolution for dynamic fuzzy job shop scheduling problem

Abstract: Heuristic dispatching rules (HDRs) are widely used for solving the dynamic fuzzy job shop scheduling problem (DFJSSP). However, their performance is highly sensitive to specific scenarios ...