The circular economy requires us to maximise the use of our resources.  As they become more constrained, designing out waste ...

Amid chip shortages, China’s AI start-ups are re-engineering their algorithms, hoping more efficient architecture will do the ...

Because artificial intelligence is always learning, its introduction in government means agencies must continually adapt as ...

As access to advanced chips narrows, Chinese AI developers are focusing on fixing an algorithmic bottleneck at the heart of ...

When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...

To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

Before a car rolls off the production line, manufacturers run virtual tests on it. Simulating tires is particularly ...

Mackie’s CR monitors offer solid performance at an entry-level price. Although a digital USB input is missing, the features ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

I created a kicker score to summarize both the season’s actual and predicted values into a single number. Each field goal made is worth one, and attempts are negatively weighted based on distance and ...

Design thinking has traditionally followed linear cause-and-effect principles – from the Bauhaus school’s “form follows ...