This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

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.

Singapore, Dec. 24, 2025 (GLOBE NEWSWIRE) -- MuleRun today announced the global launch of Creator Studio ( ...

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

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...

Legacy metrics—uptime, latency, MTTR—no longer capture operational value in an AI-driven world. Mean time to prevention (MTTP ...

Agentic AI is being adopted fast by enterprises, propelled by an explosion of use cases, but security, as always, is lagging.

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

⚠️ If you're an AI startup, make sure your data is secure. Exposed prompts or AI models can easily become a target for hackers.