Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

Microplastics – the tiny particles of plastic shed when litter breaks down – are everywhere, from the deep sea to Mount Everest, and many researchers worry that they could harm human health. I am a ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging. These ...

Poster session location: Lawson Commons. Join us for a two-day workshop exploring the latest developments in scientific machine learning, where theory, algorithms, and real-world applications converge ...

A new technical paper titled “Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate” was published by researchers at KTH Royal Institute of Technology and ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Predictive analytics is proving itself both powerful and perilous. Powerful, because advanced algorithms can take a near-unlimited number of factors into account, provide deep insights into variation, ...

Data-based profiling tools are being used by the UK Ministry of Justice (MoJ) to algorithmically “predict” people’s risk of committing criminal offences, but pressure group Statewatch says the use of ...