Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Modeling the brain: Hardware’s not the issue
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Modeling the brain: Hardware’s not the issue
Data Visualization

Modeling the brain: Hardware’s not the issue

StephenBaker1
StephenBaker1
3 Min Read
SHARE

If computing continues its exponential growth, within 15 years the most powerful machines will be able to carry out 1020 calculations per second. Shane Legg, a theoretical neuroscientist speaking at the Singularity Summit, put that number into context yesterday. The estimate for all the grains of sand on every beach in the world comes to between 1020 and 1021.

If computing continues its exponential growth, within 15 years the most powerful machines will be able to carry out 1020 calculations per second. Shane Legg, a theoretical neuroscientist speaking at the Singularity Summit, put that number into context yesterday. The estimate for all the grains of sand on every beach in the world comes to between 1020 and 1021. These supercomputers of 2025 would be able to count each grain (or presumably do more sophisticated work) in a single second. That number also represents the total, Legg said, of every neuron in every brain of every person on earth. Again, one machine, one second.

It’s numbers like these that nourish the Singularity movement. Humans tend to think in lines: The rate of change in the next 10 years will be about the same as the last decade. But if you take into account exponential growth in vital technologies, change is likely to be much more abrupt. And some believe that when computers grow to surpass the complexity of the human brain, we flesh-and-blood animals will pass the evolutionary baton to intelligent machines.

But from what I’m learning, we already have machines powerful enough to carry out highly intelligent thinking, and to simulate areas of human thought. The problem is that we don’t know how or what to teach them. It’s a software issue. And while hardware advances exponentially, software, coded by humans, inches forward at a much slower rate. Conceivably, the faster machines will pitch in on this project. For starters, they’ll produce detailed brain images and make it easier to run simulations.

More Read

How to Get Started with Value Add Forecasting
Data Visualization a Big Winner in Knight Challenge
Data Design Is Not Optional
Wordle Beautiful Word Clouds
Big data analyst applications and data recovery

But there’s still a missing ingrediant to creating truly smart machines: Intelligence. It should come, when it does, from humans. The Singularity won’t necessarily follow the chip-makers’ timetable.

TAGGED:data modeling
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data and customer service outsourcing
How Data Analytics Improves Customer Service Outsourcing
Analytics Exclusive
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
Artificial Intelligence Exclusive
How a Specialized Marketing VA Improves Campaign Analytics
How a Specialized Marketing VA Improves Campaign Analytics
Analytics Exclusive
ai marketing tools
The 9 AI Tools Marketers Use to Create Images and Video in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Marketing a book, country by country

9 Min Read

Finding Important Data for a Modeling Exercise

3 Min Read

FICO: Stretching beyond credit scores

3 Min Read

Recommended read: The Predictioneer’s Game

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?