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

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Agentic AI marks a monumental shift, building on Large Language Models with self-reflection and planning. These systems understand, learn, and proactively execute tasks, blurring the line between tool ...

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

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

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

H.H. Sheikh Hamdan bin Mohammed bin Rashid Al Maktoum, Crown Prince of Dubai, Deputy Prime Minister, Minister of Defence, and Chairman of the Board of Trustees of the Dubai Future Foundation, today ...

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.

From forgotten neural networks to the deep learning boom and the shift from predictive to generative AI – here’s how machine ...

The AI in pharmacovigilance market is expected to grow at a CAGR of 12–15% from 2023 to 2030, driven by the need to automate ...

Laser-based processes for metals are considered to be particularly versatile in industry. Lasers can be used, for example, to precision-weld components together or produce more complex parts using ...