When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

AI introduces a dynamic, context-aware, and data-driven approach to capital allocation. Using machine learning algorithms, ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

So, what is natural intelligence? The answer to this question is simpler than one might think: natural intelligence rests ...

The Artificial Intelligence Engineering extension programme offers master’s students the opportunity to learn the basics of ...

Then, in order to minimize the energy consumption of train operation online, an ITOr algorithm based on reinforcement learning (RL) is developed via designing an RL policy, reward, and value function.

In her doctoral research at Columbia University, Ganguly creates models of the neuronal connections in the fruit fly brain ...

Many supply chain teams are exploring predictive analytics to improve the accuracy of demand planning. These models apply statistical and machine learning techniques to identify patterns in ...

X (formerly Twitter) launched its "Community Notes" program in 2021 to combat misinformation by allowing users to add ...

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Recent large language reasoning models of AI learn, recall and solve problems much in the way humans do,' writes an L.A.

Inaccurate metaphors about the mind can cause real harm, for instance leading educators to 'train' children like algorithms.