Tuesday, April 13, 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 Neural Networks

AI in Architecture and a Brief Description of GANs-AI of the Future

October 24, 2019
in Neural Networks
AI in Architecture and a Brief Description of GANs-AI of the Future
587
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter
Photo by Sergey Zolkin on Unsplash

The Problem

If anyone has ever invested in the building of a home or thought of doing so, they understand the dilemma faced by millions of Americans: the costs to carry out a project of this magnitude are simply too high. No longer can new-home-hopefuls expect to keep an existing home, a car, and maintain the payroll of a builder and an architect without feeling great financial stress.

QuickenLoans estimates that the average cost of building a new home is roughly $150,000. This cost alone amounts to about THREE YEARS of an average American’s salary!

You might also like

BERT Transformers — How Do They Work? | by James Montantes | Apr, 2021

Learning Not To Fear Machine Learning | by Dimitry Belozersky | Apr, 2021

WOMEN IN A.I. ~ Future is Female

It’s simply not feasible for Americans to be expected to pay this expense.

THIS NEEDS TO CHANGE.

Can New Tech, Like AI Really Change This?

We have all seen the power of even early-stage generative AI solutions. Intuitive computing is a driving force in the development of influential AI, and its applications seem truly limitless. The structure under which many of these intuitive solutions reside is known by the formal distinction of Generative Adversarial Network (GAN).

Welcome to GAN 101

**I will try my hardest not to bore you with the many specific mathematical factors that are included, and are formative in this technology**

The math behind most machine learning algorithms relies heavily on the concept of derivatives.The basis for the GAN mathematical algorithm also includes a generative model known as the ‘generator’ being pitted against an adversary known as the discriminative model. Collectively these two entities work against each other with the purpose of improving the algorithm to create the most optimal output given the training and parameters.

This form of neural network has been transformational in the creation of generative solutions, and has numerous projects displaying the true power of its utilization.

Some examples of recent GAN applications:

The Benefit of Computer-Led Intuition

Humans naturally function under certain limitations of thought. We create solutions by understanding what is being asked of us, and connecting this asking to we have previously thought as a feasible set of solutions.

Although computers have gained the ability create intuition, often, there is a beneficial falling-short of human-like behavior. The more practical explanation: when computers think in a purely black and white fashion, they are able to make informed decisions without a limiting bias. This allows for systems to explore all possible solutions given a set of parameters. Often these solutions are terribly irregular, yet just as often, terribly efficient. They push the standards of large and small scale manufacturing and create new norms.

In addition to the examples shown above, we have seen this advancement at a profound level in the creation of virtual car chassises.

The Story of the Virtual Chassis

After taking a test car loaded with various sensors to the desert, driving, and making a variety of turns, Mourice Conti and his team of AI researchers were able to capture millions of data intricate data points representing specific instances of movement or change.

With these data points, the researchers were able to define the positive and negative aspects of certain car action. These defined sets of data points allowed for the researchers to add thousands of parameters prior to running the algorithm, to optimize results.

The visual results from this experiment were more intricate and efficient designs then previous estimates imagined. In addition to this difference, and similar to the results of other AI research, the computer-generated chassises have drastically differing designs than industry standard. Unlike most large-scale early auto manufacturing plants, this form of slightly supervised(for lack of better terms) GAN has the ability to both take in, and fully-comprehend large pools of intricate, technical analysis, and individually create something meaningful.

Opportunity Presented in Architecture

With this new form of innovation in AI, jobs like those done by architects and designers have the potential to be fully automated. Imagine an unsupervised GAN algorithm that takes input in the form of blueprints, and after recognizing certain similarities between these blueprints, could create its own, similar depiction. The ability to create the most optimal home on a personal computer revolutionary. One is able to avoid the great financial obstacle of paid design/architecture. Imagine the level of opportunity that arises when one is able to create plans for a home or a to-be-built structure via the internet or on-phone applications. The role-out of technology like this is something that will be done in the next 3–5 years, and its widespread adoption will be formative in the development of the architectural industry.

Takeaways:

  • The added costs of buying a home are far to much for the average American to pay while maintaining financial stability.
  • General Adversarial Networks(GANs)- the broad umbrella under which most generative solutions fall.
  • The adversarial aspect of this network title derive directly from the concept of adversaries with the GAN’s algorithm( generator-understands and analyzes accuracy; discriminative model- inaccuracy)
  • Many examples of advancement in this particular subset of AI are heavily publicized and gain massive attention for the technology.
  • There is tremendous opportunity for adoption within the architectural development space.

Contact:

Email: mmcd.jack@gmail.com

LinkedIn: https://www.linkedin.com/in/jack-mcdonald-a960ab194/

Twitter: https://twitter.com/jackmmcd123


Credit: BecomingHuman By: Jack McDonald

Previous Post

Singapore expands test site for autonomous vehicles

Next Post

SMEs must train workforce in AI, Machine Learning, but haven't spent money on it yet

Related Posts

BERT Transformers — How Do They Work? | by James Montantes | Apr, 2021
Neural Networks

BERT Transformers — How Do They Work? | by James Montantes | Apr, 2021

April 13, 2021
Learning Not To Fear Machine Learning | by Dimitry Belozersky | Apr, 2021
Neural Networks

Learning Not To Fear Machine Learning | by Dimitry Belozersky | Apr, 2021

April 13, 2021
WOMEN IN A.I. ~ Future is Female
Neural Networks

WOMEN IN A.I. ~ Future is Female

April 12, 2021
A Primer of 29 Interactions for AI
Neural Networks

A Primer of 29 Interactions for AI

April 10, 2021
Univariate Linear Regression: Explained with Examples | by WeiQin Chuah | Apr, 2021
Neural Networks

Univariate Linear Regression: Explained with Examples | by WeiQin Chuah | Apr, 2021

April 10, 2021
Next Post
SMEs must train workforce in AI, Machine Learning, but haven’t spent money on it yet

SMEs must train workforce in AI, Machine Learning, but haven't spent money on it yet

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

New NAME:WRECK Vulnerabilities Impact Nearly 100 Million IoT Devices
Internet Privacy

New NAME:WRECK Vulnerabilities Impact Nearly 100 Million IoT Devices

April 13, 2021
Machine Learning Approach In Fantasy Sports: Cricket
Machine Learning

Machine Learning Approach In Fantasy Sports: Cricket

April 13, 2021
These new vulnerabilities put millions of IoT devices at risk, so patch now
Internet Security

These new vulnerabilities put millions of IoT devices at risk, so patch now

April 13, 2021
BRATA Malware Poses as Android Security Scanners on Google Play Store
Internet Privacy

BRATA Malware Poses as Android Security Scanners on Google Play Store

April 13, 2021
6 Limitations of Desktop System That QuickBooks Hosting Helps Overcome
Data Science

6 Limitations of Desktop System That QuickBooks Hosting Helps Overcome

April 13, 2021
ANZ Bank: We’ve been using machine learning for 20 years
Machine Learning

ANZ Bank: We’ve been using machine learning for 20 years

April 13, 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?

  • New NAME:WRECK Vulnerabilities Impact Nearly 100 Million IoT Devices April 13, 2021
  • Machine Learning Approach In Fantasy Sports: Cricket April 13, 2021
  • These new vulnerabilities put millions of IoT devices at risk, so patch now April 13, 2021
  • BRATA Malware Poses as Android Security Scanners on Google Play Store April 13, 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