6 Simple Ways To Build Artificial Intelligence Right Now

Publié le - Dernière modification le

Artificial intelligence. A clear indicator that reliance on human intelligence isn't as paramount to our future existence as we once believed! 

Voice recognition systems. Drones. Vacuum cleaners. Artificial intelligence is cropping up in every area of everyday life, and it's evolving at breakneck speed.

If you think ‘oh that doesn't apply to me' or you don't see a reliance on artificial intelligence in your future, just take a look at your mobile phone. With just one spoken word, you have the whole internet at your fingertips.

Siri or Cortana is probably a good friend of yours, and they're not alone in the growing phenomenon of virtual assistants created using sophisticated artificial intelligence.

As a developer, the potential of what you can create using artificial intelligence is limitless. And, as the popularity of AI continues to grow, it's becoming easier to build.

You wouldn't be the first person to think that Siri isn't as smart as you need her to be, so here are six ways you can build your own AI to give her a run for her money, starting now.

 

1) Wit.ai


Wit.ai is artificial intelligence that takes a human voice command and creates actionable voice commands in return. Wit.ai can be trained to make sense of information that hasn't been pre-loaded making it smarter and more versatile than your average AI.

As far as AI goes, Wit.ai is fairly straightforward consisting of two fundamental features.

Intents:
The action that is expected to happen from the voice directive.

Entities:
Specific details about the intent. Entities help to clarify the specifics to make the directives completely tailored to the user.

The cool thing about Wit.ai is that you don't need to start from the beginning whenever you want to make a new intent. If an action has already been created by your developer predecessors, you can access it and use it for your own purpose.

Wit.ai is smart (as its name implies!) and a developer can set steps to make sure it gets all the information it needs before providing its response. For example, if a user wants to catch a flight, you can then prompt it to ask where the flight is to, and the current location of the user giving it a much better overall experience for the user.

 

2) Clarifai


If image recognition is the direction you want to go then check out Clarifai. Clarifai has the ability to recognise not only static images, but also animated images such as GIFs, and videos. Clarifai is the ideal choice for apps that need to distinguish between, or tag, specific images. 

Clarifai is the best AI to use if you want to build a custom model to recognise specific images like 'Ford' rather than just general images like 'cars'.

 

3) API.ai


API.ai isn't dissimilar to Wit.au in its use of entities and intents. Owned by Google, API.ai is a significant player in the AI interface game which is fuelled by its ability to make an educated guess if the instructions of the user aren't crystal clear.

You might want to choose API.ai over Wit.ai because, as a developer, you'll have access to all its Domains which is a collection of information features that have already been created. This is an excellent plus because you won't need to start from scratch. Pre-loaded with genuine data which is both historical and current, API.ai is cohesive with popular chat platforms to allow developers to keep building bigger and better.

 

4) Ai-one


Ai-one is the creator of The Analyst Toolbox which is a group of software programming tools that any developer can use to help build their virtual or online assistant. Standing out from the crowd, the Analyst Toolbox has the ability to imitate human brain function and put text into context to provide more accurate results for the user.

 

5) Melissa


Melissa is open source and functions as an online assistant available in Windows, OS X and Linux.

Built on Raspberry Pi and written in Python, this virtual assistant currently responds to enquiries using the speech-to-text converting vehicle from Google.

Melissa works flawlessly with the Rapiro robot making her one of the ideal choices for voice controlled AI. 

 

6) TensorFlow


While it can be beneficial to use the existing knowledge and development of programmers, if you're looking to build a model from the ground up then TensorFlow should be your go-to AI.

The Google-owned, open source software library is in its second year and provides an integrated option for developers who want to get involved in the end to end process of designing, building and executing programs that are capable of translating patterns and data into something that humans can understand and use.

Because of the independent nature of TensorFlow, it's capabilities are relatively limitless and if you want complete autonomy over your AI project, TensorFlow is for you.

The use of artificial intelligence is growing at a great rate and there are options available for all developers regardless of your project scope and preferred language. If you want to create a project from the ground up, TensorFlow is certainly the best place to start. For the beginners among you, take advantage of the experience of others and build on your knowledge step by step. Access the various open libraries to lay a sturdy AI foundation to build on into the future. 

Did we miss any? Let us know in the comment section below!

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Publié 19 juin, 2017

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