In my last article "Natural Evolution: From chatbots to fully A.I integrated applications", I touched upon the Artificially Intelligent member of staff I have been developing that assists businesses with running their day to day via the TechBubble GUI. Whilst developing the A.I. I had become stuck on the decision of whether or not the A.I. should have the ability to interact with its team members in a way that was outside of the scope of being a business assistant, in other words, should the A.I. be able to hold general conversation, to some degree, with its team members, or should it only be allowed to converse on subjects that are specific to the tasks in hand. After posting the questions, I realized that I should of worded question 1 better, but it actually raised some interesting views. What I had meant by "would you expect the A.I. to be a sort of authority that would answer and then prompt them to carry on work" was: would a business owner expect the A.I. to be able to answer general question to some extent, but ensure that it stayed on track with whatever task it was assisting its team member with, and make sure that the staff member was aware that it was not a chatbot to have fun with or general conversation. This part of the question seemed to be the part that was picked up on first by the people replying.

Your face is quickly becoming a key to the digital world. Computers, phones, and even online stores are starting to use your face as a password. But new research from Carnegie Mellon University shows that facial recognition software is far from secure. In a paper (pdf) presented at a security conference on Oct. 28, researchers showed they could trick AI facial recognition systems into misidentifying faces--making someone caught on camera appear to be someone else, or even unrecognizable as human. With a special pair of eyeglass frames, the team forced commercial-grade facial recognition software into identifying the wrong person with up to 100% success rates.

Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

Owais Afaq is simplifying technology as the CEO of Aplos Innovations. From the famous advent of Microsoft Tay at the end of Q1 to the numerous acquisitions of AI and chatbot companies during the latter half of this year, artificial intelligence has been in the headlines every other day. In August there was an article on TechCrunch asking a very (seemingly) simple question: Can chatbots help build your next website? Being a web programmer who is working on AI and conversational interfaces, this stirred my interest even more and compelled me to check out the services listed therein -- and a few others of the same category. My excitement wore off when I found out these AI chatbots were not only at their teething stage, but also made simple tasks much more complex than the DIY builders they are supposed to kill.

Accenture to Help Finnish Immigration Service Deliver Digital Transformation Program HELSINKI; Nov. 2, 2016 - Accenture will help the Finnish Immigration Service (Migri) deliver its Smart Digital Agency program, which is designed to enable the digital transformation of the agency's operations. The program will improve the overall customer experience and introduce innovative digital self-service options for citizens accessing services related to immigration, residency, refugee-related matters and Finnish nationality. Accenture will help Migri enhance its digital capabilities to manage user service requests and to ensure that customer-oriented design thinking remains at the heart of agency activities. Accenture will also help Migri reduce costs and review how the agency streamlines its internal processes, including how information is shared internally and externally with other agencies and state authorities. 'The Finnish immigration service wants to be a pioneer in the delivery of digital public services and to be an example to public service agencies seeking to build their digital capabilities,' said Vesa Hagström, Finnish Immigration Service Development Director.

Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

We all see the early signs of artificial intelligence (AI) and machine-learning-powered solutions in email marketing. A variety of tools can write (or choose) an optimal subject line for you, or determine the correct product or article to feature in order to optimize clicks for a given subscriber. So what does the future hold for email marketing? According to the Federal Reserve Bank of St. Louis, the kinds of "routine" work that can be assisted by machines ("routine cognitive" and "routine manual") have seen flat employment growth, while the kinds of employment that are less routine ("non-routine cognitive" and "non-routine manual") have seen rapid employment growth. A great study by two researchers from Oxford scored a large number of standard professions on their likelihood of being "computerised" by AI. But the study found that data-analysis-heavy professions like market research had a greater chance of being computerized, while less analytic, more "creative" jobs had a lower chance of being outsourced to AI.

There are many ways these are combined to create'intelligence'. One example is using bayesian networks, which collect data to make predictions (i.e. about what you might like to buy in an online shop, considering your past purchases and the season). The more it makes these predictions, the more accurate the predictions get, as it gathers more data and teaches itself to be more accurate. In a classroom this could be used to predict student achievement. A bayesian network could ask, "is the student confused or interested", then ask "did the student answer the previous question correctly or not", and give a predicted score based on this information.

Researchers at Google Brain, Google's deep learning project, have worked out a way to teach artificial intelligence neural networks how to create their own encryption formulas. In a research paper published by Martín Abadi and David Andersen, "Learning to Protect Communications with Adversarial Neural Cryptography," the researchers put three AIs together: two that attempt to communicate secretly (Alice and Bob) and a third that tries to spy on that communication (Eve). According to the paper, Alice's job is to construct messages using some sort of secret algorithm and Bob's duty is to discover how to decrypt those messages. On the other side of the divide, Eve is listening in to the communication between Alice and Bob and attempts each time to read the message sent. The objective of the entire process is to have Alice and Bob come up with a communication scheme that Eve cannot easily break, all without teaching Alice, Bob or Eve any particular encryption scheme. The only thing traded between Alice and Bob was a pre-determined cryptographic key to which Eve did not have access.

Artificial intelligence is creeping into our daily lives in unexpected ways. It is not just transforming online services with innovations such as Apple's Siri voice recognition app, which will send emails when you instruct it to, or Microsoft's Skype translation services, which enable you to communicate online with people whose languages you do not speak. Wider applications of artificial intelligence, such as image and pattern recognition (classifying data or objects based on common features), natural language processing (how computers understand and respond to human speech) and machine learning (when software learns something without being programmed to do so) will soon be featuring in many products and services. Pest control In recent years, pest control company Rentokil Initial has been experimenting with rodent traps equipped with sensors and WiFi. These send data to a command centre, which the company has built with partners Google and PA Consulting.