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

Many industrial products—from car bumpers to aerospace panels and medical implants—owe their performance to lightweight, ...

These systems focus on improving forecast accuracy, efficiency, and extreme weather handling through advanced machine ...

Using machine learning, researchers found there have been over 86,000 hidden earthquakes beneath the Yellowstone Caldera ...

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

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

In this ever-expanding universe of subfields, a single, generalised undergraduate degree can begin to feel like a jack-of-all ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Key Takeaways X, Facebook, and LinkedIn offer data roles across product, marketing, and AI.These jobs require strong skills in Python, SQL, and statistics.Salar ...

Magnetic hysteresis loss or iron loss in soft magnetic materials accounts for approximately 30% of energy loss in electric motors. This loss results in significant energy loss globally, representing a ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Nurix Therapeutics shows strong BTK degrader data and key pharma ties, with risks but solid long-term potential. Find out why ...