Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

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

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

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

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

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

Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

Automation has moved from the factory floor to the inbox and beyond. Machine‑learning models now interpret invoices, approve ...

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 ...

Imagine concrete that not only survives wildfires and extreme weather, but heals itself and absorbs carbon from the air.