Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

CMU’s learning initiatives are shaped by research on how people learn, rather than by any single discipline. That approach ...

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...

On Friday, OpenAI engineer Michael Bolin published a detailed technical breakdown of how the company’s Codex CLI coding agent ...

This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.

For at least the past ten years, there's been a rising chorus of voices calling for the adoption of memory-safe programming ...

The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

Claude Code arrived as a developer tool, but its real shock to the system has been cultural. By quietly turning non‑coders ...

Abstract: The advent of large language models (LLMs) has revolutionized the field of code translation, enabling automated translation between programming languages. Despite these advancements, the ...

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...