Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

AI gadgets might be a collective flop so far, but that hasn’t stopped the companies that make them from continuing to try ...

Mora, a self-professed “knitting nerd,” uses knitting machines to create structures with distinctive structures defined by ...

Overview: Programmers prefer Python in AI, data science, and machine learning projects, while JavaScript is useful in web and full-stack development.GitHub and ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Federal systems integrators face a familiar mandate in 2026 — deliver faster mission outcomes with tighter constraints — plus a new reality: agencies are moving from artificial intelligence ...

Discover the leading AI code review tools reshaping DevOps practices in 2026, enhancing code quality, security, and team productivity with automated solutions.

Moltbot stores memory as Markdown files and an SQLite database on the user’s machine. It auto-generates daily notes that log interactions and uses vector search to retrieve relevant context from past ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

Programming began as a way to give simple instructions to machines that barely worked. Over decades, it evolved through punch ...

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