Artificial Intelligence for Smart Eating

Artificial Intelligence for Smart Eating

Posted on : February 8, 2017

Even after all the warnings many people consume far too many foods high in calories, fats, free sugars or salt, and many do not eat enough fruit, vegetables and fiber. Are you one of them? Consider technology to help you better your health with every bite you take.

A new wave of start-ups has taken on the challenge of addressing dietary issues by using the latest advances in artificial intelligence. Health-e introduces six that you need to know about:

It’s simple — SmartPlate tracks what you eat. Designed to visually determine the food placed on it, weigh the portions, then report back calorie and nutritional data via a smartphone app, the device also uses “advanced machine learning” to better identify foods as more and more people use the platform. The company says its advanced optical recognition shows 99 percent accuracy with many foods, and can determine the difference for example between white bread and wheat bread, and pasta with marinara sauce and pasta Alfredo.

Another product that uses the word “smart” as part of its brand message, UM.AI is a smart food advisor that tracks and analyses what you eat in order to provide personalized food recommendations. UM.AI says it exploits cutting edge technology in semantic and machine learning to structure more than two billion food data points in a logical and easy to use manner. Just tell what you had to eat, the same way you would tell your friends… and the company’s AI will handle the rest.

Nuritas looks to rapidly and efficiently offer access to the most-health benefiting components within foods, called bioactive peptides. Nuritas combines artificial intelligence and DNA analysis to discover novel and active peptide ingredients with scientifically proven health benefits, namely: anti-inflammatory activity, antimicrobial activity, muscle recovery enhancement, skin anti-aging solutions, and the potential management of blood sugar levels for type 2 diabetics. The bioactive peptides can be used in a range of products including functional and medical foods, pharmaceuticals, dietary supplements, as well as cosmetics and personal care.

Nutrino along with IBM Watson have developed the Nutrino App to provide expectant mothers with real-time science-based, personalized and contextual nutrition advice. The Nutrino App combines Nutrino’s nutrition insights platform with Watson’s natural language capability and deep question and answer capability to offer personalized meal recommendations and 24/7 nutritional support.

The Not Company will soon offer “Giuseppe”, an artificial intelligence platform programmed to become the smartest food scientist on earth. Giuseppe takes meat-based recipes and re-creates plant-based versions that emulate the taste, flavor, and texture of the original giving consumers the chance to re-create more sustainable versions of meat-based products. The company is looking to eliminate the massive amounts of land and other resources required to support traditional animal farming.

Suggestic helps users move towards the goal of Type 2 Diabetes reversal by using machine learning technology that creates an individualized nutrition and lifestyle program based on factors such as DNA, blood, saliva and gut microbiome, diet and activity logs. The company’s technology originates from deep learning algorithms originally created for fraud prevention.

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