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 analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    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 Do You Turn Supply Chain Data into Actionable Information?
Some considerations when looking at dashboards
The 5 Most Common Data Relationships Shown Through Visualization
Academy Awards and Analytics-based Performance Management
Data Analysis Using Relationship Graphs

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

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

ASCII Data Modeling Tool – Amazing Stuff!

2 Min Read

Reading – Viral Data in SOA: An Enterprise Pandemic

2 Min Read

Project Cartoon: Data Modeling – Different Points of View

1 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?