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

Every year, thousands of new materials are created, yet many never reach their full potential because their applications aren ...

Limitations of Machine Learning: Data Dependency : Machine learning models require vast amounts of high-quality data, which can be difficult and expensive to obtain. Poor or biased data leads to ...

Key applications of machine learning in finance. Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making.

Feb 29, 2024: Machine learning innovations and applications in nanotechnology (Nanowerk Spotlight) Machine Learning in nanotechnology represents a vibrant fusion of artificial intelligence (AI) with ...

Machine learning has been extensively used in behavioural studies, offering insights into the processes underlying decision-making, consumer behaviour, and human learning, as well as in clinical ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple ...

Machine learning plays an important role in studying drug repurposing, especially since the occurrence of COVID-19, scientists around the world used machine learning-based approaches to signal ...

Our research focuses on using machine learning with impact. This means taking some of the most sophisticated tools from computer science, statistics, machine learning and AI, and applying them to a ...

Theorists also use machine learning for so-called discovery applications: searching for hidden correlations in structures and for hidden relationships in raw information. For example, theorists ...