Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

The IMF study on Parameter Proliferation in Nowcasting shows that simpler, well-structured models guided by economic ...

Proteins sourced from microorganisms are attracting attention for their potential in biomanufacturing a variety of products, ...

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence.

Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random data into useful signals, enabling traders to make better, quicker, and ...

What if we told you that the secret to healthier soil, cleaner ecosystems, and smarter farming isn't buried in a high-tech lab—but hidden in the data ...

Ball splines are unique motion components. They bridge the gap between linear guidance and torque transmission. Ball splines handle multi-axis control, manage misalignment and deliver low-friction ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

The 2024–25 school year has demonstrated a significant increase in the use of AI, particularly in school settings. In some departments, professors and administrators are shifting from anti-AI to ...