Sometimes, all it takes is 30 minutes to learn the ins and outs of new food technologies and trends that are transforming the food and beverage industry. In this series, we’ll dig into a food innovation topic and link you to content and resources so you can become a master on the topic in 30 minutes (or less!).
This week, we’re looking at the use of machine learning in the food and beverage industry.
Computer sciences are responsible for revolutionary process changes in many sectors, including the food industry. Every year, new innovative solutions emerge that can improve the efficiency and profitability of companies, and machine learning is a prime example.
Artificial Intelligence and Machine Learning solutions offer many possibilities to optimize and automate processes, save money, and reduce human error for many industries.
An in-depth look at how machine learning is used, and how to select the best machine learning company to meet your company’s needs.
Sylvain Charlebois discusses ChatGPT, machine learning and AI, and it’s potential impact on how the food industry embraces new technologies in the future.
Manitoba’s Enterprise Machine Intelligence and Learning Initiative (EMILI) works with industry organizations and academic institutions from across the technology sector to increase integration of intelligent technologies, empower people with digital skills, support scale-ups to grow in the Prairies, and accelerate Canada’s growth as a leader in digital agriculture.
@ vividmachines (Instagram) Toronto-based Vivid Machines has developed a multispectral computer vision platform to digitize fruit production.
TheoryMesh (LinkedIn) Winnipeg-based TheoryMesh is working through the entire supply chain from growers to consumers to revolutionize traceability through application.
@InData Labs (Facebook) InData Labs is one of the world’s top machine learning companies.
If you’ve got more than 30 minutes, these are for you: