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
Feb 21, 2020
The global outbreak of the novel coronavirus is affecting many aspects of life. COVID-19 has even affected electronic components trade show industry. In recent weeks, the Mobile World Congress, electronica Shanghai and other events have been canceled. Other events, like next ...
Feb 20, 2020
Using 144 7-segment displays powered by an Arduino Nano, and employing a rather cunning font, this clock is bound to attract attention....
Feb 20, 2020
AI Rewrites the Possibilities of Digital Twin Automotive Industry On Course To Disruption And Evolution Choosing an embedded operating system Mythic takes Analog FASTSPICE and Symphony from Mentor for AI design Siemens on Challenges and Trends in the Electronics Industry AI R...
Feb 15, 2020
[From the last episode: We looked in more detail at the characteristics of threads.] Last week we ended with a question: we'€™re talking about threads running at the same time, in parallel, but'€¦ if you have only one CPU, how would that even work? That'€™s totally not ...

Featured Video

Industry’s First USB 3.2 Gen 2x2 Interoperability Demo -- Synopsys & ASMedia

Sponsored by Synopsys

Blazingly fast USB 3.2 Gen 2x2 are ready for your SoC. In this video, you’ll see Synopsys and ASMedia demonstrate the throughput available with Synopsys DesignWare USB 3.2 IP.

Learn more about Synopsys USB 3.2