Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Data Scientists at Hampton Creek Using Deep Learning to Find the Ideal Plant Proteins

byEileen McNulty
December 2, 2014
in Artificial Intelligence, News
Home News Artificial Intelligence
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsAppShare on e-mail

A food technology company in San Francisco is exploring a new dimension in utilizing plants in food products. Hampton Creek wants to bring “healthier and affordable food to everyone, everywhere,” and its doing so by using deep learning.

“Our slug is, we apply deep machine learning to plant biological data,” Lee Chae, Hampton Creek’s head of research and development, told VentureBeat in an interview.

Essentially they’re trying to find a “vegan equivalent of an egg” by sifting through and discarding “billions of proteins from hundreds of thousands of plants.” When they do stumble upon something relevant, the protein is tested by chefs with other ingredients.

The standard procedure, VB reports, that the company follows goes something like this:

  1. Analysis of the Proteins
  2. Quantify molecular and food-related properties of the proteins.
  3. Put the proteins into a food-model system and get metrics of how they will perform — like whether they will produce foam or bind with water, for instance.
  4. Determine the performance of related proteins with predictive models.

The predictive models is where deep learning comes in. “That way, we learn what properties are really meaningful for performance, and we can reduce that search space by just focusing on those properties and increase our hit rate,” Chae said. “Then we can search that space intelligently and efficiently — unlike any other company out there that has not developed this technology.”

“Drawbacks get sent upstairs to the data scientists, who block out the protein in question and others related to it. And Hampton Creek thereby inches closer to its noble goal,” writes Jordan Novet for VB.

So far, the 3 year old startup has landed a partnership with Compass Group to bring out ‘Just Cookies’ after the success of its first product, ‘Just Mayo’, which sold out at Safeway stores within two weeks after launching. Earlier in February this year the company managed a $23 million Series B financing round, bringing the total funding received to $30 million. Expansion overseas is on the cards now.

Read more here.

Follow @DataconomyMedia

(Image credit: Hampton Creek)

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Tags: Deep learning

Related Posts

Secure your Telegram account with new passkeys

Secure your Telegram account with new passkeys

December 16, 2025
Meta launches Disney+ on Quest headsets

Meta launches Disney+ on Quest headsets

December 16, 2025
Apple TV on Android adds Google Cast support

Apple TV on Android adds Google Cast support

December 16, 2025
Disney licenses characters to OpenAI Sora for one-year exclusive

Disney licenses characters to OpenAI Sora for one-year exclusive

December 16, 2025
Nvidia acquires SchedMD and launches Nemotron 3

Nvidia acquires SchedMD and launches Nemotron 3

December 16, 2025
New Android update brings iOS style history view to Google AI Mode

New Android update brings iOS style history view to Google AI Mode

December 16, 2025
Please login to join discussion

LATEST NEWS

Secure your Telegram account with new passkeys

Meta launches Disney+ on Quest headsets

Apple TV on Android adds Google Cast support

Disney licenses characters to OpenAI Sora for one-year exclusive

Nvidia acquires SchedMD and launches Nemotron 3

New Android update brings iOS style history view to Google AI Mode

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Whitepapers
  • Newsletter
  • + More
    • Glossary
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.