An algorithm created to identify recipes for food just from a photograph has been demonstrated by researchers at the Massachusetts Institute of Technology (MIT).
The neural network was trained on a dataset of one million photos and one million recipes.
The trial model worked best on desserts and found smoothies and sushi more challenging, the researchers said.
The team has released an online trial although it is not a finished product.
When tested by the BBC, recipes that were generated based on a picture of spaghetti bolognese included “Italian tomato sauce” and “gunk on noodles”.
July 24, 2017
featured blogs
Dec 5, 2023
Introduction PCIe (Peripheral Component Interconnect Express) is a high-speed serial interconnect that is widely used in consumer and server applications. Over generations, PCIe has undergone diversified changes, spread across transaction, data link and physical layers. The l...
Nov 27, 2023
See how we're harnessing generative AI throughout our suite of EDA tools with Synopsys.AI Copilot, the world's first GenAI capability for chip design.The post Meet Synopsys.ai Copilot, Industry's First GenAI Capability for Chip Design appeared first on Chip Design....

Nov 6, 2023
Suffice it to say that everyone and everything in these images was shot in-camera underwater, and that the results truly are haunting....