Practical application of neural networks in business

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Bots Make Pizza Based on Information from Images

Researchers at the Massachusetts Institute of Technology (MTI), together with the Qatar Computing Research Institute (QCRI), have developed a neural network called PizzaGAN that learns to make pizza. The GAN in PizzaGAN stands for Generative Adversarial Network and is a type of neural network.

This neural network learns to make pizza by malaysia mobile phone numbers database analyzing thousands of images of this food. After training, it is able to not only identify different toppings, but also determine the order of their layers on the pizza. The system can create step-by-step recipes based on a single image. Initial tests showed that the neural network correctly determines the order of the toppings in 88% of cases. Researchers suggest that this technology can be applied in other areas, not only in pizza making.

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McDonald's restaurant chain offers menu adapted to current weather

McDonald's has acquired Israeli startup Dynamic Yield for $300 million. Dynamic Yield uses consumer data in retail through predictive technologies based on neural networks.

This will allow McDonald's to gain more information about its customers, especially those who order food from the drive-thru. The neural network will remember customers' preferences based on their purchases and use this information to predict their future orders.

Screenshot from the official Dynamic Yield website
Screenshot from the official Dynamic Yield website
In addition, the neural network will analyze the environment around and inside the restaurant. For example, it will take into account the weather and offer cold drinks in hot weather, and also take into account the waiting time and offer "fast" dishes during periods of increased attendance.

These improvements are aimed at improving customer service and better meeting their needs.

Driverless cars

Neural networks play an important role in the development of driverless car technology. An example of such a company is Waymo, a project created by Google, which aims to create self-driving cars that can operate without the participation of a human driver.

At the moment, this technology is at the experimental stage, and driverless cars are not yet used on the roads en masse. However, the main goal of projects like Waymo is to reduce the role of the human driver in driving a car to a minimum.

Neural networks process massive amounts of data and analyze signals and sensor information in real time to ensure reliable and accurate control of self-driving cars, which is key to their safe and efficient operation. These systems promise to reduce accidents on the road, improve fuel efficiency, and optimize driving routes, allowing drivers to switch their attention to other tasks, such as reading on a smartphone during a trip.

Waymo, a company working on developing self-driving cars, is partnering with British company DeepMind Technologies Limited to implement cutting-edge artificial intelligence technologies. One of the products acquired by Waymo is Population Based Training, or PBT.