AI is ranking

AI is ranking


Here is an exciting fact. We have seen an increasing number of cases in which AI has scored truly intelligent systems who outperform their human partners, sometimes even with the aid of person-specific training data.

Take, for instance, the Titan supercomputer, the benchmark of supercomputer performance in the industry, which has shown remarkable ability in general learning since it was placed in the Jeopardy! riddle answering contest in October 2013.

In fact, Titan has been able to get its hands on a lot of those kinds of datasets, and many of them. The team of researchers is already working with Titan to expand its work, and build more useful systems. We are just beginning to see how the degree of abstraction allowed by machine learning algorithms.

Google Home

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The team behind Google Home has built one of the most complicated user interfaces in all of computing, but every day, new tech is getting smarter.

Evan Lieu, director of product management at Google Home, and the team from Google’s AI research lab, spent a year programming Google Assistant, the company’s voice-powered personal assistant. The project began in December 2015 with a system that enabled the Google Assistant to ask questions, which it then interpreted and converted into text.

Now, there’s a new example of how Google has increasingly prioritized natural language processing, the field in which artificial intelligence and machine learning are differentiating themselves.

For instance, when users ask their Assistant for directions to their final destination,

Technology that will enable artificial intelligence systems

IBM Watson

This vision came to fruition in 2013 with the creation of IBM Watson. The online user-experience machine currently uses Watson’s cognitive software, Watson’s speech recognition, and artificial intelligence to assist people in analyzing and interpreting their browsing experience, Watson’s question answering system and providing natural language understanding.

“We also develop different tools to develop features to augment and improve Watson’s cognitive functions. In that process, we are always looking at new areas where we can make smarter use of Watson’s functionality.”

It is not yet known what future tools and technologies that IBM intends to use to augment and improve its Watson cognitive functionality. However, it is certainly possible that the features they can build into their AI

But the implications aren’t limited to intelligence.



Robotics is looking ahead to face-to-face encounters in public spaces. RoboInnovations, the company behind the chicken vending robot or the zombie dog, is leading a project called Conversationbots, which aims to add human and robot interaction to social media and website comments.

On one website, for example, robot characters are exchanged in forums; they ask questions; they respond to conversations. On another site, one character will respond to other robot characters in one of eight categories (this is no natural language processing). One particular robot character has “socialized” with humans, be they at work or school, earning him new followers. For a robot to become more social, she must

Artificial intelligence is better than AI that isn’t artificial. It gives humans new ways to see, interact with, and understand the world. By recognizing objects, information, images, and text in images, videos, and text, AI can give people a rich new view of the world around them, allowing for a better understanding of the people and things in it.

All of these aspects of AI, including artificial general intelligence (AGI) are making their way into the world’s tools and technology, specifically in the areas of self-driving cars and advanced cybersecurity.

What is Artificial General Intelligence?

A good place to start with AI is to define what it isn’t.