In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...

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

Venu Gopal Avula's work details transforming ERP systems into intelligent, predictive platforms using Machine Learning, leveraging his two decades of technical expertise.

Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on railroads ...

Google’s CircularNet empowers recycling facilities to significantly improve waste identification and sorting, unlocking business value with the circular economy. The challenge of democratizing data ...

The End of “Bytes In, Bytes Out” PipelinesTraditional “bytes in, bytes out” pipelines are showing their age. As data volumes surge and threats multiply, static filtering and manual configurations ...

Using seven clinical measures that are fairly easy to assess, researchers have developed a machine learning model to help predict mortality in people with amyotrophic lateral sclerosis (ALS), ...

One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise the majority of the planet’s plastic products, but all are difficult to tell ...

The AI infrastructure market continues to experience remarkable growth, a trend expected to persist well into the future.

The use of AI in data collection and analytics is helping to shape the sustainability sector. These tools have incredible potential to help us identify new opportunities for sustainable growth across ...

Students with strong analytical thinking, intellectual curiosity, and an interest in solving societal or business problems through data will thrive in this field.