The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

May 22 (UPI) --An artificial intelligence model developed by NASA, IBM Research and the Oak Ridge National Laboratory will support improved local and regional weather and climate models. The ...

Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies.

The algorithms behind generative AI tools like DallE, when combined with physics-based data, can be used to develop better ways to model the Earth's climate. Computer scientists have now used this ...

Johns Hopkins-led effort offers powerful new tool to aid health policy by integrating personal decision-making into disease prediction model ...

A machine learning tool developed by researchers at Carnegie Mellon University's Robotics Institute (RI) could potentially allow beginner and professional designers to create 3D virtual models of ...

At the global level, the study reveals that the United States and the United Kingdom remain the dominant producers of ...

Artificial intelligence is accelerating material discovery and design by automating analysis, guiding experiments, and enabling predictive modeling across spectroscopy, microscopy, and synthesis.

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

This paper provides a systematic literature review of studies investigating how data-driven planning technologies, Internet of Things sensing infrastructures, and urban intelligence shape digital twin ...

2024 - Bristol-Meyers Squibb was awarded for “PMI Prediction and Bayesian Optimization: Two Tools with One Goal Towards the Development of ‘Greener-by-Design’ Synthesis of APIs” Read more about BMS’s ...