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

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 ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

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 ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The Machine Learning Development Market is expected to grow from USD 35.0 billion in 2023 to USD 942.4 billion by 2033, with ...

So long as there's sufficient overlap in the model's vocabularies, the rate at which the draft model's predictions are ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for ...

Explore how machine learning is transforming parts procurement for design engineers in the electronics distribution industry.

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of ...