In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

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 ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

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, ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning algorithms that outperform state-of-the-art classical computers. The researchers ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

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.