Sony is preparing a special AI unit that aims to change the way people make food and food
- The Japanese tech giant is opening a new division in Japan, the US and Europe
- Called Sony AI, the division will initially focus on gaming, imaging and cooking
- A great new video shows Sony's vision of an AI-controlled kitchen
Today Sony has announced a new division at the company that will focus exclusively on artificial intelligence with offices in Japan, the United States and Europe.
Called Sony AI, the new division initially starts with three "flagship projects" in the areas of gaming, imaging and sensing and gastronomy.
The company has not specified what these projects will be exactly, but a concept video from Sony shows the company's vision of how AI and robotics will change the way people eat in the future.
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Sony AI is a new division created by the Japanese technology giant that will initially focus on gaming, imagination and sensors and gastronomy
The video shows a long counter top equipped with several robot arms and camera sensors, which observe a person who chops a vegetable.
A person enters the kitchen and starts chopping a vegetable.
"Keep chopping like this & # 39;" he says and walks away from the counter.
The robotic arms continue where they left off, with one arm holding the vegetable firmly against the counter top, while a second arm picking up the knife and continuing to chop slices in the man-made thickness for the sensor cameras.
The video also reveals a number of impressive options for the AI-powered kitchen sink, which autonomously manages meal preparation, while the user entertains guests for a festive meal.
A concept video from Sony shows an AI-powered kitchen that can heat liquids such as soup (pictured above) independently of each other using a heated metal bar
The robots can drop a watertight lid on all raw ingredients on the counter and rinse with water.
They can also heat up liquid without putting a hotplate through a heated metal rod in a carafe.
The AI can also mix ingredients in a large capsule and then mix.
As an example, the video shows the poor who prepare a romesco sauce, which is traditionally a mixture of almonds or walnuts with roasted peppers, garlic, tomato puree, oil and spices.
The AI can also calculate the correct temperature and cooking time that a roast chicken needs in the oven.
Simultaneously with all the cooking, the AI can instruct a small robotic server to bring guests drinks on a raised tray powered by a small platform on wheels that looks like a Roomba.
& # 39; AI and robotics will not replace chefs & # 39 ;, Shinichi Tobe of Sony told AFP and forwarded by Yahoo News.
"We want to offer new tools to expand their creativity with AI and robotics."
Sony hoped that his initiative would not only be a tool for home cooks, but something that could create dishes created by AI that are tailored to the tastes of the owner.
The AI-powered kitchen from Sony takes care of the hard work of cooking while homeowners can enjoy the company of their guests
"The food field requires a study of molecular structures," said Abe.
"By using AI and its analytical capacity, we can create new things."
"It's about taste, but also about aroma. Sensor technologies may allow us to create new dishes that will please the human taste. & # 39;
HOW DO ARTIFICIAL INTELLIGENCE LEARN?
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works to learn.
ANNs can be trained to recognize patterns in information – including speech, text data or visual images – and form the basis for a large number of developments in AI in recent years.
Conventional AI uses input to teach & # 39; an algorithm on a specific topic & # 39; by giving it huge amounts of information.
AI systems rely on artificial neural networks (ANNs), which try to simulate the way the brain works to learn. ANN & # 39; s can be trained to recognize patterns in information – including speech, text data, or visual images
Practical applications include Google's language translation services, Facebook & # 39; s face recognition software, and Snapchat & # 39; s live image-changing filters.
Entering this data can be extremely time-consuming and is limited to one type of knowledge.
A new breed of ANN & # 39; s called Adversarial Neural Networks contrasts the minds of two AI bots, allowing them to learn from each other.
This approach is designed to speed up the learning process and refine the output of AI systems.
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