fresh bytes
Subscribe Now

AI demo picks out recipes from food photos

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”.

Continue reading at BBC News

Leave a Reply

featured blogs
Jun 19, 2019
In this week's Whiteboard Wednesdays video, Craig Johnson explains the purpose of the Cloud Passport Partners Program and how customers can now connect with authorized and knowledgeable service... [[ Click on the title to access the full blog on the Cadence Community si...
Jun 17, 2019
eSilicon used the Tessent family of DFT solutions to solve their toughest challenges of testing a large 2.5D/3D deep learning device. Hear all about it in this 15 minute video. With over 300 tapeouts, there is no doubt that eSilicon has tons of experience getting designs don...
Jun 17, 2019
One topic that garnered much interest at the Samtec booth at the International Microwave Symposium was a dynamic stress test of Samtec’s microwave cable. This demonstration proves that our low-loss, microwave cable withstands high flex cycles and still maintains signal ...
Jan 25, 2019
Let'€™s face it: We'€™re addicted to SRAM. It'€™s big, it'€™s power-hungry, but it'€™s fast. And no matter how much we complain about it, we still use it. Because we don'€™t have anything better in the mainstream yet. We'€™ve looked at attempts to improve conven...