From structure confirmation to methodology improvements, making complex natural products has driven innovation in organic ...

The diagram illustrates the interplay among data acquisition, machine learning, and experiment synthesis. Physical models such as thermodynamics and kinetics can be integrated into ML models as expert ...

On 28 October 2020, the World Heritage Centre (WHC), in collaboration with the African World Heritage Fund (AWHF) started the Data Analysis and Report Synthesis Online Workshop in the framework of the ...

Professor Joongoo Kang's team from the Department of Physics and Chemistry at DGIST and Professor Sohee Jeong's team from the ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Alibaba’s Tongyi Lab has introduced a new open-source training framework that can train open large language models (LLMs) to compete with leading commercial deep research models. The technique, called ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. For the next four years, big data analytics is expected to be ...

Rental agreement of 1100 sqm data center facilities with cooling infrastructure in place enabling instant start of start green AI Data Center in Sweden. Green Credentials: The company's power sources ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...