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 Neural Networks

Designing AI Products — How to decide if your problem needs AI?

April 11, 2020
in Neural Networks
Designing AI Products — How to decide if your problem needs AI?
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter
Source

In traditional software systems, outcomes are discrete and the creators are aware of the behaviour of these systems (rigid set of instructions). AI/ML based systems bring a fundamental shift to this way of thinking where instead of programming a system to do a certain action, it’s creators provide data and nurture them to curate outcomes based on the input. These systems learn over time.

What role do designers, managers and HCI practitioners play in defining guidelines and design of these systems when much of the workings of these systems are largely inaccessible to it’s creators?

You might also like

How AI Can Be Used in Agriculture Sector for Higher Productivity? | by ANOLYTICS

Future Tech: Artificial Intelligence and the Singularity | by Jason Sherman | Feb, 2021

Tackling ethics in AI algorithms: the case of Salesforce | by Iflexion | Feb, 2021

Before getting into the details of whether your problem needs AI, let’s understand some basic terminologies.

Machine Learning (ML)

Machine learning comprises techniques and methods that make computer programs do something without programming super-specific rules. It’s creators help computers discover patterns and relationships from a dataset. Popular examples where ML is used include object detection, voice recognition, OCR or recognizing cats from youtube videos.
In machine learning, instead of the creator specifying rules to the program, the program learns by discovering patterns and relationships from a dataset. The job of the creator then is to nurture, guide and provide feedback to this ML algorithm to behave predictably.

An important thing to remember is that techniques like machine learning don’t actually bring intelligence, but rather they bring a critical component of intelligence — Prediction

ML Model

A model is a specialized mathematical function that represents steps for a computer to arrive at a decision. When programming traditional software, we are used to strict rules; if this then that. For eg. If you click the button, send an email, press the shutter and a picture is taken . On the other hand, machine learning models are ‘soft’: they don’t follow a strict logic. ‘Write’ and ‘right’ sound the same but have different meanings depending on the context. Maybe a bald person’s head looks really similar to a duck egg from a certain angle, a bunch of skin colored pixels. We can grasp the workings of ML models better if we embrace this ‘softness’ and understand how these algorithms make the mistakes that they do.

How do you tell a computer what Biryani looks like?
Explaining a computer what Biryani looks like is a really difficult problem to program traditionally. Here’s how you would go about it:

Here’s how you’d go about the same problem with a Machine learning approach:

Credit: BecomingHuman By: Kore

Previous Post

Win a home security bundle by Canary*

Next Post

With A.I., the Secret Life of Pets Is Not So Secret

Related Posts

How AI Can Be Used in Agriculture Sector for Higher Productivity? | by ANOLYTICS
Neural Networks

How AI Can Be Used in Agriculture Sector for Higher Productivity? | by ANOLYTICS

February 27, 2021
Future Tech: Artificial Intelligence and the Singularity | by Jason Sherman | Feb, 2021
Neural Networks

Future Tech: Artificial Intelligence and the Singularity | by Jason Sherman | Feb, 2021

February 27, 2021
Tackling ethics in AI algorithms: the case of Salesforce | by Iflexion | Feb, 2021
Neural Networks

Tackling ethics in AI algorithms: the case of Salesforce | by Iflexion | Feb, 2021

February 27, 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
How 3D Cuboid Annotation Service is better than free Tool? | by ANOLYTICS
Neural Networks

How 3D Cuboid Annotation Service is better than free Tool? | by ANOLYTICS

February 26, 2021
Next Post
With A.I., the Secret Life of Pets Is Not So Secret

With A.I., the Secret Life of Pets Is Not So Secret

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 as a Service (MLaaS) Market Analysis Technological Innovation by Leading Industry Experts and Forecast to 2028 – The Daily Chronicle
Machine Learning

Machine Learning as a Service (MLaaS) Market Global Sales, Revenue, Price and Gross Margin Forecast To 2028 – The Bisouv Network

March 1, 2021
AI And Automation In HR: The Changing Scenario Of The Business
Data Science

AI And Automation In HR: The Changing Scenario Of The Business

February 28, 2021
Machine learning could aid mental health diagnoses: Study
Machine Learning

Machine learning could aid mental health diagnoses: Study

February 28, 2021
Python vs R! Which one should you choose for data Science
Data Science

Python vs R! Which one should you choose for data Science

February 28, 2021
Can Java be used for machine learning and data science?
Machine Learning

Can Java be used for machine learning and data science?

February 28, 2021
These four new hacking groups are targeting critical infrastructure, warns security company
Internet Security

These four new hacking groups are targeting critical infrastructure, warns security company

February 28, 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 as a Service (MLaaS) Market Global Sales, Revenue, Price and Gross Margin Forecast To 2028 – The Bisouv Network March 1, 2021
  • AI And Automation In HR: The Changing Scenario Of The Business February 28, 2021
  • Machine learning could aid mental health diagnoses: Study February 28, 2021
  • Python vs R! Which one should you choose for data Science February 28, 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