a domain where conventional machine learning approaches fail. Unlike many previous methods, the model is trained on real-world data instead of simulations. “It sets a precedent for using real, scarce ...

But a research team is using machine learning to uncover what keeps ... status is an external factor." During the analysis, the researchers excluded data from people with certain diseases and ...

They used machine learning methods that probed down to the molecular level while also retaining quantum-mechanical accuracy of the various interactions. "As the number of material layers increases ...

China has issued a guideline to facilitate and regulate cross-border flow of financial data amid efforts to boost high-standard opening up of the financial sector, the central bank said Thursday.

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset ...

and to assist staff members in summarizing documents and analyzing large sets of data. Dallas students are already using A.I. to conduct research, she said, and learning about the importance of ...

That’s why AI-powered crypto trading bots are no longer a novelty. These bots use machine learning to analyze data, identify patterns and execute trades in real time, often faster and with more ...