A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to estimate AGB of individual trees in natural secondary forests of northeastern ...

The researchers developed a non-invasive visual edge module capable of automatically gathering physiological data from ...

MCP is the Model Context Protocol, introduced by Anthropic last year to act as the “USB-C” interface for connecting AI ...

A test of the ideological biases of three leading AI models from China, Europe, and the U.S. returned some surprising results ...

As creative becomes the core driver of global economic and culturaldevelopment, how to manage it effectively has emerged as a ...

Insecticide-treated nets (ITNs) are the most impactful and cost-effective control tool against malaria. ITNs are primarily distributed through triennial mass campaigns across Africa, though overall ...

Despite rapid advancements in artificial intelligence and automation, many insurers are still failing to translate technology investments into measurable productivity gains. According to Puneet ...

CISA and global partners issue new guidance for secure AI integration in operational technology, highlighting risks, governance, behavioral analytics, and OT safety.

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

For Gabriel Petersson, the path to becoming a research scientist at OpenAI didn’t start in a lecture hall but began with a ...

Economist Arvind Subramanian and political scientist Devesh Kapur examine the choices in the early years of independent India ...