Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Vibe coding allows manufacturing personnel to create software using everyday speech instead of traditional programming, enabling production managers to simply say "build a monitoring dashboard for ...

PromptML is built to provide a way for prompt engineers to define the AI prompts in a deterministic way. This is a Domain Specific Language (DSL) which defines characteristics of a prompt including ...

Over the past year, the Park City Library has expanded its community offerings at nearly every opportunity. From hosting new events, providing a dedicated telehealth station and keeping pace with ...

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

‘Murugiyal - Tri Yatri’ was a performance-oriented dance seminar , with ample mini-performances. Day 2 was all about spiritual, religious, historical compositions and the gypsy- story, the Kuravanji, ...

APPL is A Prompt Programming Language that extends Python to provide a Natural, Intuitive, Convenient, and Efficient (NICE) way to utilize Large Language Models (LLMs) such as GPT in your program. We ...

Abstract: This article offers perspective on quantum computing programming languages, as well as their emerging runtimes and algorithmic modalities. With the scientific high-performance computing (HPC ...

Just months after releasing M2—a fast, low-cost model designed for agents and code—MiniMax has introduced an enhanced version: MiniMax M2.1. M2 already stood out for its efficiency, running at roughly ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for. The computer revolution has ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...