The development of increasingly powerful models is central to the unfolding AI revolution. But this revolution has a second, ...

Drone technology is evolving dramatically transforming industries from public safety to construction and agriculture.

In R&D and large-scale corporate applications, China's smart agriculture has entered a phase of deep integration. Unmanned farms, smart ranches, and industrialized breeding complexes are emerging ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

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

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

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), ...

What happens when the growth of computing demand becomes so rapid that even the best systems become unable to match it? This ...

Cell-line development enhances biopharmaceutical production capacity and quality, but complex biologics like bsAbs and ADCs present new challenges.

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...