Thursday, April 22, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Yale researchers identify fossils using machine learning

January 14, 2020
in Machine Learning
Yale researchers identify fossils using machine learning
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

In recent years, machine learning has risen in popularity as an exciting frontier in data science. This type of statistical technique can be leveraged to gain insight in all sorts of applications, from suggesting the perfect song on Spotify to predicting the weather.

The newest application? Classifying plankton fossils. Recently, a Yale-led team created a first-of-its-kind machine learning model that can identify the species of almost 7,000 plankton fossil images.

You might also like

Machine Learning Tacks Evolution of COVID-19 Misinformation

Hive’s cloud-hosted machine learning models draw $85M

Companies are Investing in Machine Learning in 2021. Why?

The model works extremely well — even better than human experts.

“Our best-performing model gets the answer right 87.4 percent of the time, which is better than our average human expert accuracy,” said Allison Hsiang, who is a postdoctoral researcher at the GeoBio-Center at Ludwig Maximilian University of Munich and the lead author of the study.

Besides improving accuracy, the existence of the model saves experts’ time.

When working with thousands of microscopic fossils, “you just can’t have a human sit there and [classify images]. You have to find a way to automate that, which is where machine learning comes in,” said Nelson Rios, head of biodiversity informatics and data science at Yale’s Peabody Museum of Natural History.

Rios assisted the research team in creating an online database called Endless Forams, which makes their results publicly available.

These findings are useful to the biology community at large.

“The fossils at the focus of this study are used to do things like investigate the temperature of the ocean in the past, or the atmospheric CO2 level, so getting the identities right is actually important,” said Pincelli Hull, assistant professor of geology and geophysics and a leader of the international group that authored the study.

Hull added that properly identifying the plankton species is actually a difficult task, but that the research design called upon several expert taxonomists so that a consensus could provide the correct human validation to the computer model’s guesses.

Hsiang said that the model can be used to quickly build big datasets containing species information, which will allow the more efficient study of “large-scale patterns and changes in foram biodiversity and communities through time and space.”

Rios also said that understanding the plankton is helpful for modeling the state of the ocean in the past.

Researchers also emphasized their desire for their results to be used to train future experts in the field. Hsiang added that the Endless Forams database is an important resource that can be used to train students to identify species.

“We’ve been losing expertise, not gaining it. It’s important that this data is out there for people to get excited about it,” said Rios.

 

Jessica Pevner | jessica.pevner@yale.edu




Credit: Google News

Previous Post

How AI Is Getting Groundbreaking Changes In Talent Management And HR Tech

Next Post

India's imminent regulation will give financial data ownership to the individual

Related Posts

Machine Learning Tacks Evolution of COVID-19 Misinformation
Machine Learning

Machine Learning Tacks Evolution of COVID-19 Misinformation

April 22, 2021
Hive’s cloud-hosted machine learning models draw $85M
Machine Learning

Hive’s cloud-hosted machine learning models draw $85M

April 21, 2021
Companies are Investing in Machine Learning in 2021. Why?
Machine Learning

Companies are Investing in Machine Learning in 2021. Why?

April 21, 2021
#420: Cannabis and Machine Learning, a Joint Venture
Machine Learning

#420: Cannabis and Machine Learning, a Joint Venture

April 21, 2021
Shaker High students use machine learning to analyze pandemic’s impact on wealth inequality
Machine Learning

Shaker High students use machine learning to analyze pandemic’s impact on wealth inequality

April 21, 2021
Next Post
India’s imminent regulation will give financial data ownership to the individual

India's imminent regulation will give financial data ownership to the individual

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Machine Learning Tacks Evolution of COVID-19 Misinformation
Machine Learning

Machine Learning Tacks Evolution of COVID-19 Misinformation

April 22, 2021
How AI Is Disruptive Innovation For OCR | by Infrrd | Apr, 2021
Neural Networks

How AI Is Disruptive Innovation For OCR | by Infrrd | Apr, 2021

April 22, 2021
Instagram debuts new tool to stop abusive message salvos made through new accounts
Internet Security

Instagram debuts new tool to stop abusive message salvos made through new accounts

April 21, 2021
Improve Your Cyber Security Posture by Combining State of the Art Security Tools
Internet Privacy

Improve Your Cyber Security Posture by Combining State of the Art Security Tools

April 21, 2021
6 Ways AI is Changing The Learning And Development Landscape
Data Science

6 Ways AI is Changing The Learning And Development Landscape

April 21, 2021
Weekly NFT roundup April 14-20: Real-world applications grow through postage and insurance
Blockchain

Weekly NFT roundup April 14-20: Real-world applications grow through postage and insurance

April 21, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Machine Learning Tacks Evolution of COVID-19 Misinformation April 22, 2021
  • How AI Is Disruptive Innovation For OCR | by Infrrd | Apr, 2021 April 22, 2021
  • Instagram debuts new tool to stop abusive message salvos made through new accounts April 21, 2021
  • Improve Your Cyber Security Posture by Combining State of the Art Security Tools April 21, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates