Chatbots.org Business News

What happens when two chatbots chat? Researchers from
Cornell Creative Machines Lab headed by Professor Hod Lipson at Cornell University have recently submitted this entertaining idea to this year’s Loebner Prize Competition in Artificial Intelligence. Objective of this competition is to fool 2 or more judges into thinking that a chatbot is a human being.

If you take this course, you will be graded just like Stanford University students, and you can get a certificate matching your skills to the Stanford grading curve. Though online, it is a serious class: 8 homework assignments, 2 timed exams and many hard deadlines. To pass this class, expect to work at least 10 hours per week - Stanford students do all this! Become one of them starting in September 2011.

Blog Post recalling a conversation that Daden’s own chatbot Abi had.

Chatbots.org launches the largest specialized research area on humanlike conversational artificial intelligence in its new 2.7 release on http://www.chatbots.org/research.

We have worked on it for over 18 months, and we are very excited to present the result today: 1,031 academic journals, more than 13,000 universities, 163 books, 327 annual academic events, 475 publishers and loads of academic papers. And the best is: from a content point of view, this is just the start! This area is expected to grow very fast.

We believe that the academic community will benefit greatly from this area. They will get in touch with businesses to set up commercially funded projects, attract talent by profiling themselves in our new university ranking and align themselves with innovative entrepreneurs.

This article will demonstrate what to expect from our new research section; how it all fits into the Chatbots.org scope and where it is heading to.

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.

Intelligent Toys Ltd is the developer of the chatbot called Do-Much-More which won the 2009 Loebner Prize. Our chatbot software is very different from the plethora of AIML bots that have been developed in recent years and employs ideas which, so far as we know, are original.  Please visit us at http://www.worldsbestchatbot.com to see some examples of our chatbot’s conversations at the Loebner event.

We now plan to develop the chatbot further, making extensive enhancements to its capabilities and tailoring it to a particular persona that will be launched as a web avatar in late 2011 or early 2012. The enhanced chatbot will be the first such product to be launched by our subsidiary company which is being set up to capitalize on our chatbot’s capabilities.

We are looking for an experienced programmer to join our small team. The software enhancements will all be specified by our in-house linguistics expert who has been responsible for creating the intelligence currently exhibited by the chatbot. For this reason it is not essential for applicants to have any previous experience of chatbot programming.

What would happen when various individual virtual agents cooperate and process data through interdisciplinary systems?

According to an article of David Hunter Tow, Director of the Future Planet Research Centre, interactive virtual agents could end up playing a huge role in saving the planet and its evolution could grow exponentially.

AI will be the next big thing in the call/contact centre and customer service industry. This is not Star Wars, nor some other fictional high tech dream.  It’s here today and is growing like wildfire. The adoption rate of those business, education and government organisations that have conducted pilots has been very high due to a ROI of less than six months and a TCO that has been documented to be as high as 60%.

Like most unusual technologies, it will start out slowly but will take the market by storm once the early adopters prove its true value.  These adopters will be the big winners in this technology infusion, getting a jump on their competition.  Especially in the outsourcing industry.  It is already being used by many of the early adopters in the self-sourcing community and has proven itself quickly.  The capabilities and cost savings will drive this new technology forward on a natural course.  This will only take one to two years from today to get established and within five years will encompass the entire market.

The white paper aims to help organisations and businesses understand what chatbots are, how they are being used to win more customers, grow revenues, improve customer satisfaction and reduce cost.

A new white paper on deploying chatbots has been released by virtual worlds and chatbot solutions provider Daden Limited. The white paper aims to help organisations and businesses understand what chatbots are, how they are being used to win more customers, grow revenues, improve customer satisfaction and reduce cost.

Chatbots are known by a wide variety of terms including virtual assistants and virtual agents. Some are quite sophisticated whilst others offer no more than a simple site guide and although the concept of chatbots have been around since the 1950’s it is only in the last five years or so that early adopters, such as Ikea, have been using them. They are however growing in popularity and the E Commerce Times reported in June that “approximately 10% of the Fortune 1,000 already have them”.

Daden have over a decades worth of experience of working with chatbot technology and speech systems. “We have seen an increasing interest in chatbots and chatbot technology over the last three years - so much so we felt the time was right to issue a white paper to help demystify the subject and explain the different types of chatbots.” said Daden’s Managing Director David Burden.

Since 1956 researchers have studied AI and their various specializations. However, this research was based on a couple of assumptions which are due for a rigorous revision. Previously, many AI solutions have attempted to solve all the problems with one system or function rather than multiple systems working together as in the human mind. The mind, memory and body function work both together and separately to solve any number of problems, and the way they work together (and alone) varies from problem to problem. The human mind alone applies various systems and functions to any given problem. Also, researchers have developed models that work more like computers, where everything is either one or zero. Real memory is filled with gray areas, ambiguities and inconsistencies, but functions in spite of not always being congruent.

Therefore, MIT is revisiting their Mind Machine Project with an initial $5 million grant and a five-year timetable to rebuild the AI field from scratch.