Explore the rapidly evolving world of artificial intelligence, machine learning, and automation. From AI ethics to real-world applications, this category delivers insights that matter for today and tomorrow.
For many software developers using generative AI, vibe coding is a double-edged sword. The process delivers rapid prototypes but often leaves a trail of brittle, undocumented code that creates significant technical debt. A new open-source platform, Codev, addresses this by…
Vector databases have become essential in most modern AI applications.
In this era of AI slop, the idea that generative AI tools like Midjourney and Runway could be used to make art can seem absurd: What possible artistic value is there to be found in the likes of Shrimp Jesus…
In this article, you will learn three proven ways to speed up model training by optimizing precision, memory, and data flow — without adding any…
An increasing number of AI and machine learning-based systems feed on text data — language models are a notable example today.
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automatically populates and modifies the context window of large language model (LLM) applications by…
When Walmart and OpenAI announced that the retailer would integrate with ChatGPT, the question became how quickly OpenAI could deliver on the promise of agents buying things for people. In the battle of AI-enabled commerce, getting agents to securely complete…
Agents are the trendiest topic in AI today — and with good reason. Taking gen AI out of the protected sandbox of the chat interface and allowing it to act directly on the world represents a leap forward in the…
Artificial intelligence has always promised speed, efficiency, and new ways of solving problems. But what’s changed in the past few years is how quickly those promises are becoming reality. From oil and gas to retail, logistics to law, AI is…
2025 was supposed to be the year of “AI agents,” according to Nvidia CEO Jensen Huang, and other AI industry personnel. And it has been, in many ways, with numerous leading AI model providers such as OpenAI, Google, and even…