Monday, March 1, 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 Artificial Intelligence

Inside the Pentagon’s Plan to Build A Trusted Partner In Artificial Intelligence

March 15, 2019
in Artificial Intelligence
Inside the Pentagon’s Plan to Build A Trusted Partner In Artificial Intelligence
588
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: AI Trends


You might also like

Asimov’s Three Laws Of Robotics And AI Autonomous Cars 

Tesla Working on Full Self-Driving Mode, Extending AI Lead 

RAND Corp. Finds DoD “Significantly Challenged” in AI Posture 

By AI Trends Staff

Last year, the Defense Advanced Research Projects Agency (DARPA) kicked off the AI Next campaign, a $2 billion effort to push the boundaries of AI including automating the scientific process, creating artificial common sense, and applying findings from insect brains to computer science. Valerie Browning, director of DARPA’s Defense Sciences Office, explored the efforts in a recent conversation with Nextgov.

“The grand vision for the AI Next campaign is to take machines and move them from being tools—perhaps very valuable tools—but really to be trusted, collaborative partners,” she said. The AI Next campaign is seeking to imbue computers with the competency and world knowledge that a partner would possess, she said. “Machine learning-enabled AI does certain tasks quite well—image classification, voice recognition, natural language processing, statistical pattern recognition—but we also know AI can fail quite spectacularly in unexpected ways. We can’t always accurately predict how they’re going to fail.”

Browning was cautiously optimistic about the White House’s National Artificial Intelligence Strategy. The emphasis is correct, she said, but she has concerns about the budgeting requirements. The strategy “does mandate that all the agencies, as they develop their budgets, make this a priority, but I don’t think we know what that price tag is,” she said. “Any attempt to try to say that this percentage of your budget or this top line [should go to AI], I don’t think we know that.”

Credit: AI Trends By: Allison Proffitt

Previous Post

Exercises in amazement: Discovering deep learning

Next Post

15 Great Articles about Bayesian Methods and Networks

Related Posts

Asimov’s Three Laws Of Robotics And AI Autonomous Cars 
Artificial Intelligence

Asimov’s Three Laws Of Robotics And AI Autonomous Cars 

February 26, 2021
Tesla Working on Full Self-Driving Mode, Extending AI Lead 
Artificial Intelligence

Tesla Working on Full Self-Driving Mode, Extending AI Lead 

February 25, 2021
RAND Corp. Finds DoD “Significantly Challenged” in AI Posture 
Artificial Intelligence

RAND Corp. Finds DoD “Significantly Challenged” in AI Posture 

February 25, 2021
SolarWinds Hackers Targeted Cloud Services as a Key Objective 
Artificial Intelligence

SolarWinds Hackers Targeted Cloud Services as a Key Objective 

February 25, 2021
IBM Reportedly Retreating from Healthcare with Watson 
Artificial Intelligence

IBM Reportedly Retreating from Healthcare with Watson 

February 25, 2021
Next Post
15 Great Articles about Bayesian Methods and Networks

15 Great Articles about Bayesian Methods and Networks

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 could aid mental health diagnoses: Study – ETCIO.com
Machine Learning

Machine learning could aid mental health diagnoses: Study – ETCIO.com

March 1, 2021
The Bayesian vs frequentist approaches: implications for machine learning – Part two
Data Science

The Bayesian vs frequentist approaches: implications for machine learning – Part two

March 1, 2021
Google’s deep learning finds a critical path in AI chips
Machine Learning

Google’s deep learning finds a critical path in AI chips

March 1, 2021
9 Tips to Effectively Manage and Analyze Big Data in eLearning
Data Science

9 Tips to Effectively Manage and Analyze Big Data in eLearning

March 1, 2021
Machine Learning & Big Data Analytics Education Market 2021 Global Industry Size, Reviews, Segments, Revenue, and Forecast to 2027 – NeighborWebSJ
Machine Learning

Machine Learning & Big Data Analytics Education Market 2021 Global Industry Size, Reviews, Segments, Revenue, and Forecast to 2027 – NeighborWebSJ

March 1, 2021
The Future of AI in Insurance
Data Science

The Future of AI in Insurance

March 1, 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 could aid mental health diagnoses: Study – ETCIO.com March 1, 2021
  • The Bayesian vs frequentist approaches: implications for machine learning – Part two March 1, 2021
  • Google’s deep learning finds a critical path in AI chips March 1, 2021
  • 9 Tips to Effectively Manage and Analyze Big Data in eLearning March 1, 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