Friday, February 26, 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

Machine Learning + CleanTech + Climate Risks — CleanTech Talk Podcast

September 14, 2020
in Machine Learning
Machine Learning + CleanTech + Climate Risks — CleanTech Talk Podcast
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter



Agriculture

You might also like

Machine Learning & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU

New machine learning tool facilitates analysis of health information, clinical forecasting

Supercomputer-Powered Machine Learning Supports Fusion Energy Reactor Design


Published on September 13th, 2020 |
by Winter Wilson





September 13th, 2020 by Winter Wilson 


In the first half of this CleanTech Talk interview, Michael Barnard sits down with Paul Werbos, Ph.D. Co-Director of the Center for Intelligent Optimization and Networks, to talk about all things climate change. You can listen to the conversation in the embedded player below. Below that embedded SoundCloud player is a brief summary of the topics covered, but tune into the podcast to follow the full discussion.

You can subscribe and listen to CleanTech Talk on: Anchor, Apple Podcasts/iTunes, Breaker, Google Podcasts, Overcast, Pocket, Podbean, Radio Public, SoundCloud, Spotify, or Stitcher.

Paul has worn a number of impressive professional hats. As Co-Director of the Center for Intelligent Optimization and Networks, he was credited with the original development of black propagation and adaptive dynamic programming in the 1960s and 1970s. As a Brookings Fellow in the office of Senator Specter, he was responsible for climate, energy, and space policy. And, finally, he was formerly Program Director at the US National Science Foundation (NSF). Paul also wrote the forward for Michael Barnard’s new machine learning report published on CleanTechnica.

Mike and Paul launched the podcast with a discussion on Paul’s journey to working on climate change. He explained that he learned the hard way that the planet is in trouble and that the “usual mechanisms” used to solve the challenges climate change poses are not working as well as he had hoped. In the year he worked for Senator Specter, he explored the intricacies of the political system and climate legislation. Even though by the end of the year he did not understand all of the challenges the planet faces in terms of climate change, he came to the realization that the future was at stake unless more creative mitigation and adaptation measures were put in place.

What interests Paul the most is the concept of “maximizing the probability we survive at minimum cost.” Both Mike and Paul explored this problem of optimization and how new technologies might play a part in the solution. Paul hopes to see more of a focus moving forward on low-cost solutions in particular.

Mike brought up the challenges of ocean acidification, which Paul focused on during his time at the NSF. Paul explained that humans have added fertilizer into the ocean from things like agricultural runoff and, if oxygen levels of the ocean lower (a phenomenon called a stratified ocean), then there would be a significant threat of mass extinction.

To layer on relevant political news, Mike brings up the Democratic National Convention and he and Paul dig into Joe Biden and Kamala Harris’ climate action plans. Paul warns that they might depend on the same people involved historically in international climate agreements, which he believes to be a mistake. Instead, Paul proposes they listen to people who know more about how to deploy effective technology and new research as cost-effective solutions.

Since the two biggest sources of greenhouse gas emissions are electricity and transportation, Paul believes that new technology and less regulatory barriers to that technology could make significant progress in fighting climate change. Mike and Paul talked more about Biden’s climate plan and their hopes to see better targets and line-item costing. Mike believes Harris may be able to bring strong insight to the table regarding where to spend money and how much.

The two spent time addressing nuclear power and small-modular reactors. They agreed that this power source poses a significant threat to national security, citing Paul’s research on nuclear proliferation and terrorism. They also explored the case study of South Korea and their transition away from nuclear power.

Mike and Paul then decided to transition into a more detailed discussion about transportation. In 2009, Paul thought national security was the biggest threat the world faced until he was exposed to research on the immediacy of climate change. When he realized all the data pointed to a huge global challenge, he began exploring the technology that could help the world mitigate the problem and adapt. Paul expressed his desire to see more incentivization within markets so that people can have a choice between fuel-flexible hybrid vehicles and electric cars. While Mike and Paul argued about global supply chains and manufacturing solutions, they took a productive deep dive into climate change solutions through technology transformation. Mike’s biggest concern is the rhetorical use of research and development to delay effective action.

To wrap up the first half of this podcast, Mike and Paul talked more about the influence and responsibility of politicians and politics. To hear more on these topics, listen to the show! 
 

 


Appreciate CleanTechnica’s originality? Consider becoming a CleanTechnica member, supporter, or ambassador — or a patron on Patreon.

Sign up for our free daily newsletter or weekly newsletter to never miss a story.

Have a tip for CleanTechnica, want to advertise, or want to suggest a guest for our CleanTech Talk podcast? Contact us here.


Latest Cleantech Talk Episode




Tags: Cleantech Talk, climate policy, Global Weirding, Joe Biden, Kamala Harris, machine learning, Michael Barnard, Paul Werbos, podcasts, small modular reactors, small nuclear reactors






About the Author

Winter Wilson Winter Wilson is a Cutler Scholar and undergraduate student double majoring in Environmental Studies and Journalism at Ohio University’s Honors Tutorial College, with a minor in French. Her academic interests include environmental communication, technology and social innovation, especially as they relate to international climate change mitigation and adaptation. Though Winter attends school in her hometown of Athens, Ohio, she takes advantage of her breaks to explore the world beyond. She spent her most recent break undertaking self-driven research on climate change and environmental justice in Southeast Asia. This year, she will be completing her dual thesis and supplementary documentary series on climate change communication. Winter is excited to contribute to and work with the team at CleanTechnica as a Summer Editorial Intern.














Credit: Google News

Previous Post

The Simple Easy Solution for Eliminating Bias from Models

Next Post

What is the connection between AI, Cloud-Native and Edge devices?

Related Posts

Machine Learning & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU
Machine Learning

Machine Learning & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU

February 26, 2021
Basic laws of physics spruce up machine learning
Machine Learning

New machine learning tool facilitates analysis of health information, clinical forecasting

February 26, 2021
Supercomputer-Powered Machine Learning Supports Fusion Energy Reactor Design
Machine Learning

Supercomputer-Powered Machine Learning Supports Fusion Energy Reactor Design

February 26, 2021
Something’s Fishy — New Funding To Tackle Illegal Activities At Sea Using Machine Learning And Data Analytics
Machine Learning

Something’s Fishy — New Funding To Tackle Illegal Activities At Sea Using Machine Learning And Data Analytics

February 26, 2021
Cloudera aims to fast track enterprise machine learning use cases with Applied ML Prototypes
Machine Learning

Cloudera aims to fast track enterprise machine learning use cases with Applied ML Prototypes

February 25, 2021
Next Post
What is the connection between AI, Cloud-Native and Edge devices?

What is the connection between AI, Cloud-Native and Edge devices?

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 & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU
Machine Learning

Machine Learning & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU

February 26, 2021
This chart shows the connections between cybercrime groups
Internet Security

This chart shows the connections between cybercrime groups

February 26, 2021
Basic laws of physics spruce up machine learning
Machine Learning

New machine learning tool facilitates analysis of health information, clinical forecasting

February 26, 2021
Creative Destruction and Godlike Technology in the 21st Century | by Madhav Kunal
Neural Networks

Creative Destruction and Godlike Technology in the 21st Century | by Madhav Kunal

February 26, 2021
Spy agency: Artificial intelligence is already a vital part of our missions
Internet Security

Spy agency: Artificial intelligence is already a vital part of our missions

February 26, 2021
Blockchain lags behind other technologies in finance adoption for now, says Broadridge
Blockchain

Blockchain lags behind other technologies in finance adoption for now, says Broadridge

February 26, 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 & Big Data Analytics Education Market: Soaring Demand Assures Motivated Revenue Share During 2020-2030 – KSU February 26, 2021
  • This chart shows the connections between cybercrime groups February 26, 2021
  • New machine learning tool facilitates analysis of health information, clinical forecasting February 26, 2021
  • Creative Destruction and Godlike Technology in the 21st Century | by Madhav Kunal February 26, 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