AI companies such as OpenAI and Anthropic have long focused on building tools that can write code that will speed up software ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

In software development, success means going beyond meeting requirements. We must create products that surprise and delight ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Upcoming software purchases should no longer be one-time contracts; they're living partnerships built on shared data and trust.

As AI remakes the travel industry, one acronym is sparking both excitement and confusion: MCP, or Model Context Protocol. But ...

There's a rush to amass as much data as possible to train AI models. Amazon is trying to scrape Microsoft's Github for some of the data it needs.

It represents a breaking point in what has been the most heated debate in gaming throughout 2025. As more studios have ...

Learn how servant leadership empowers employees, enhances stakeholder focus, and fosters innovation for a sustainable, ...

Try Gemini 3.0 Flash via AI Studio and APIs, with up to 90% savings from context caching to cut costs on high-volume ...