Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster alternative to computationally intensive cloud-resolving simulations. However, ...

From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Keeps the course focused and effective. Helps eliminate unnecessary content and/or busy work. Provides students with clear expectations for their learning. Quality Matters Standards: Quality Matters ...