Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

U.S. Department of Energy's (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on ...

Researchers employed a machine learning technique known as random forest analysis and found that it significantly ...

Although they mostly go unnoticed by humans, small earthquakes occur much more frequently than large earthquakes, and knowing ...

Media formulation was improved using a combination of advanced machine learning techniques, thermodynamic modeling, and ...