Practical application of neural networks in business
Posted: Sat Feb 01, 2025 10:59 am
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 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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"KPI for the Sales Department: Calculation Methods and Adaptation"
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McDonald's restaurant chain offers menu adapted to current weather
McDonald's has acquired Israeli startup cayman islands email list 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
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 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.
Read also!
"KPI for the Sales Department: Calculation Methods and Adaptation"
Read more
McDonald's restaurant chain offers menu adapted to current weather
McDonald's has acquired Israeli startup cayman islands email list 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