Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

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.

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

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, ...

The MulfinTradeAi App is setting a new benchmark for automated trading in raw materials and global equity markets. With advanced machine learning algorithms and predictive analytics, the platform ...

Socomec looks at the power of predictive maintenance and the benefits of using AI and predictive data analytics to pre-empt ...

Data is no longer just an enterprise asset, it’s the foundation of competitive advantage.In an era of machine learning and ...

In 2025, AI-driven data analytics is transforming industries by enabling real-time decision-making, predictive modeling, and ...

Proptech companies have seized on artificial intelligence to prevent operational breakdowns as well as organize work orders.

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