Food waste is a nagging problem that weighs heavily on global food production, distribution and sales industries—but an ...

Please provide your email address to receive an email when new articles are posted on . AI model training involved skin prick test, allergen-specific IgE and serum component protein data. Deep vs.

Fourteen years ago, Michael Pollan offered us Food Rules. Today, researchers armed with machine learning and 50,000 grocery items are trying to turn Pollan’s “wisdom” into science. The findings ...

A study by the CDC, FDA and USDA used whole-genome sequencing (WGS) and machine learning to identify chicken and vegetables as leading sources of Salmonella enterica infections in the United States.

The most transformative tools food and beverage manufacturers and brands have at their disposal are artificial intelligence and machine learning. This pair of technologies can be used to predict ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Patent-Eligible Subject Matter refers to the types of inventions that can be legally patented. The criteria for patentability varies depending on the jurisdiction. In ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...