Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, Polars, and LangChain ...

Key Takeaways Data science roles in Canada offer salaries between CAD 90 - 135K yearly.Major hubs include Toronto, Vancouver, and Montreal, with growing demand.

When it comes to vehicle testing and validation, nothing we’ve encountered before comes close to the complexity of autonomous ...

Investigation by The National unveils serious concerns over killing of civilians with minimal human oversight and questions over Palestinian 'suspicion scores' ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Enterprises adopting voice AI must consider not just usability, but inclusion. Supporting users with disabilities is a market opportunity.

Explore how AI predictive analytics reshapes industries by providing insights, forecasting trends, and enhancing ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

In just three years since AI became widely accessible, we’ve entered a new era. One where AI drives decision-making. One ...