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Food

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Tuning Stiffness with Granular Chain Structures for Versatile Soft Robots.

Soft robotics
Stiffness variation can greatly enhance soft robots' load capacity and compliance. Jamming methods are widely used where stiffness variation is realized by jamming of particles, layers, or fibers. It is still challenging to make the variable stiffnes...

Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence.

The international journal of behavioral nutrition and physical activity
The World Health Organization recommends that member states enact policies to limit unhealthy food marketing to children. Chile enacted relatively stringent laws that restrict unhealthy food marketing to children in two phases, beginning in 2016. Dil...

Tracking of Nutritional Intake Using Artificial Intelligence.

Studies in health technology and informatics
In this short communication paper, we present the results we achieved for automated calorie intake measurement for patients with obesity or eating disorders. We demonstrate feasibility of applying deep learning based image analysis to a single pictur...

Robot versus human barista: Comparison of volatile compounds and consumers' acceptance, sensory profile, and emotional response of brewed coffee.

Food research international (Ottawa, Ont.)
The increasing trend of integrating robots into the food industry has sparked debates regarding their potential influence on consumer attitudes toward food technology. This study investigated volatile compound profiles via gas chromatography-mass spe...

An unsupervised wavelet neural network model for approximating the solutions of non-linear nervous stomach model governed by tension, food and medicine.

Computer methods in biomechanics and biomedical engineering
The human stomach is a complex organ. Its role is to degrade food particles by using mechanical forces and chemical reactions in order to release nutrients. All ingested items, including our nutrition, should first pass through the stomach, making it...

Artificial Intelligence Technology for Food Nutrition.

Nutrients
Food nutrition is generally defined as the heat energy and nutrients obtained from food by the human body, such as protein, fat, carbohydrates and so on [...].

A Spatial-Spectral Classification Method Based on Deep Learning for Controlling Pelagic Fish Landings in Chile.

Sensors (Basel, Switzerland)
Fishing has provided mankind with a protein-rich source of food and labor, allowing for the development of an important industry, which has led to the overexploitation of most targeted fish species. The sustainable management of these natural resourc...

Exploring the eating experience of a pneumatically-driven edible robot: Perception, taste, and texture.

PloS one
This study investigated the effects of animated food consumption on human psychology. We developed a movable, edible robot and evaluated the participants' impressions induced by the visualization of its movements and eating of the robot. Although sev...

High-throughput analysis of hazards in novel food based on the density functional theory and multimodal deep learning.

Food chemistry
The emergence of cultured meat presents the potential for personalized food additive manufacturing, offering a solution to address future food resource scarcity. Processing raw materials and products in synthetic food products poses challenges in ide...