Agent's Processing news

Online Virtual AssistantsVirtual Assistants increasingly becoming the first point of contact for users who need help from customer service. However, sometimes it is inevitable that a real customer service agent steps in and deals with the customer query. And here comes the twist; to whom does the service agent turn to when he or she needs help in resolving a question? To a virtual assistant of course!

In a paper called Reading Digits in Natural Images
with Unsupervised Feature Learning researchers from Google and Stanford University reveal a new method of identifying house numbers in Google Street View.

It’s just another attempt to add a bit of AI to Googles ability to understand the world.

As a result however, this algorithm is obviously very useful for Captcha hackers as well, as I’ve announced many times before. Captchas are those annoying characters you have to re-type when you leave a comment on a forum, to get access to certain information or when you register for a website, The purpose of Captchas are to separate computers from real human beings, assuming that humans are better in complex character recogntion than computers. This will soon be something of the past.

The result: computers will be able to create new accounts, register everywhere, spam everywhere. It will also retrieve password, access email boxes and send emails on behalf of real humans. It’s an unstoppable development. The only way to stop this: collaborate worldwide and define a new internet which is suitable for consumer usage. Also, we should get rid of the idea that we should protect privacy on the internet allowing people to stuff around anonymously without the chance of getting caught, and that everything should be available for free. Nothing is for free.

This will be part of a new concept for the future world, which I will refer to as

The Utopia Manifesto

Soon more!

Look carefully at the scene presented on the picture below:

If somebody asked you a question: “Where is the coffee cup?”, you could give a simple answer: “on the mat’. But you could also say “to the left of the lamp” as well as “on the table”. All those answers are correct, although they require several subjective and nuanced judgements which we - humans - do intuitively. What about chatbots?

Having acquired skills of falling in synthetic love, making long-term cyber relationships, and playing pool with two hands, it’s time to take care of the artificial stamina! Recently, robots became active supporters of football and they began to play this most famous game in the world.

Virtual agents’  reasoning and actions are tightly connected with their awareness ability helping to relate to the environment during a conversation. Researchers invented the combination of virtual reality and artificial intelligence techniques to simulate living conversational agents being aware of themselves, the virtual world around them, and other virtual beings existing in that environment.

Virtual human Spike has its own beliefs and values. Additionally, it exhibits rude, pessimistic and confrontational behavior. Even a very cheerful person is not able to convince this virtual agent to chill out, relax or assimilate optimistic outlook. Would you like that Spike became your conversational friend?

Researchers from Human Centered Multimedia at the University of Augsburg developed a virtual character which is capable of recognizing and displaying the emotion of a user.

During 2011 IEEE International Conference on Robotics and Automation researchers from Technical University of Munich presented a dual-armed robot capable of playing pool on a normal sized pool table.

Researchers from Worcester Polytechnic Institute and Relational Agents Group at Northeastern University College of Computer and Information Science aim to develop a technology that can address the needs of isolated older adults.

Researchers from Blavatnik School of Computer Science at Tel Aviv University led by Professor Yishay Mansour are developing artificial intelligence algorithm in order to equip machines with human emotions. According to this algorithm based on machine learning, the computer programs are taught a sense of “regret” and how to “feel sorry” for their mistakes.