A toddler meanders unsteadily through the living room, pausing by a sleek black cylinder in the corner. "Alexa," he says in a high-pitched voice. The cylinder acknowledges the request, despite the muffled pronunciation, and the music starts. Alexa, a cloud-based speech recognition software from Amazon and the brain of its black cylindrical loudspeaker Echo, has been a big hit around the world – except for the younger ones, who take it for granted. Children will grow up alongside it, just as Alexa will evolve, as the AI powering it learns to answer more and more questions, and – perhaps – one day even converses freely with people.

"If somebody like Google or Apple announced tomorrow that they had made [AI android] Ava, we would all be surprised, but we wouldn't be that surprised." Imagine a smart robot performing delicate surgery under the control of a surgeon. Or an artificial intelligence (AI) machine mapping genomic sequences to identify the link to Alzheimer's disease. Or psychiatrists applying AI in natural language processing systems on the voices of patients to assess their risk of suicide. You don't have to imagine anymore, because all of this is happening right now.

Writing content can be a headache for website managers. Producing it takes time, skilled manpower and money. In the current digital reality, brands, companies and small to midsize business owners must have a website in order to maintain contact with clients and attract new ones. In addition, they need to have an email distribution list and profiles on social networks. There are currently over one billion content websites across the globe.

Both military and commercial robots will in the future incorporate'artificial intelligence' (AI) that could make them capable of undertaking tasks and missions on their own. In the military context, this gives rise to a debate as to whether such robots should be allowed to execute such missions, especially if there is a possibility that any human life could be at stake. To better understand the issues at stake, this paper presents a framework explaining the current state of the art for AI, the strengths and weaknesses of the technology, and what the future likely holds. The framework demonstrates that while computers and AI can be superior to humans in some skill- and rule-based tasks, under situations that require judgment and knowledge, in the presence of significant uncertainty, humans are superior to computers. In the complex discussion of if and how the development of autonomous weapons should be controlled, the rapidly expanding commercial market for both air and ground autonomous systems must be given full consideration.

Indeed, assessment may be better than compared with a conventional test. Griffin's research has found that the tasks on his platform do not exhibit the between nation bias (or Differential Item Functioning) that questions on the standardised, international PISA assessment purportedly suffer from (Kreiner & Christensen, 2014). They are also robust to differences in background language (Vista, Care and Griffin, 2014). The fact that assessment takes a back seat here begs the following question. Of what real worth is the psychometric modelling in the background?

Brain Tunnelgenix Technologies Corp (BTT Corp) is a med-tech company with offices in the US and Brazil. They have a biological discovery patent on the Brain Thermal Tunnel and are developing several solutions around this to help improve your health through continuous monitoring of your brain temperature. BTT treats brain temperature like a multichannel signal and uses this to perform analysis and pattern recognition to further insights into customers' health on a personalized basis. Join Jerry Nixon as he welcomes Robert Ortega, CTO of BTT Corp, and the team from Microsoft – David Crook and Yun Chou - as they discuss how by working together they developed an Azure IoT solution to help with brain thermal tunnel pattern recognition. If you're interested in learning more about the products or solutions discussed in this episode, click on any of the below links for free, in-depth information:

First you could book a flight online. Then came online travel agents. And now you might check in for your hotel via mobile, a computer could set the price, while a chatbot answers your queries. Some travel experts expect the first autonomous cargo flights to start within several years, while big data analysis is on the rise at internet-based firms like Expedia, Lastminute.com and Skyscanner. "We have to reinvent the place of the man in the system," says Fabrice Otaño, chief data officer at AccorHotels group.

In the last several years, interest in artificial intelligence (AI) has surged. Venture capital investments in companies developing and commercializing AI-related products and technology have exceeded $2 billion since 2011.1 Technology companies have invested billions more acquiring AI startups. Press coverage of the topic has been breathless, fueled by the huge investments and by pundits asserting that computers are starting to kill jobs, will soon be smarter than people, and could threaten the survival of humankind. IBM has committed $1 billion to commercializing Watson, its cognitive computing platform.2 Google has made major investments in AI in recent years, including acquiring eight robotics companies and a machine-learning company.3 Facebook hired AI luminary Yann LeCun to create an AI laboratory with the goal of bringing major advances in the field.4 Amid all the hype, there is significant commercial activity underway in the area of AI that is affecting or will likely soon affect organizations in every sector.

Weak general AI (WGAI) is AI that's capable of learning a wide swath of things, even things it wasn't necessarily programmed to learn. It can then use these learned experiences to come up with creative solutions that can flummox even trained professional humans. Basically, it's as intelligent as a certain creature-- maybe a worm or even a mouse-- but it's nowhere near intelligent enough to enhance itself meaningfully. It may be par-human or even superhuman in some regards, but it's sub-human in others. This is what we see with the likes of DeepMind-- DeepMind's basic algorithm can basically learn to do just about anything, but it's not as intelligent as a human being by far.

IBM z Systems is an on-premise, private cloud platform used by major corporations to process billions of business-critical transactions per second around the globe. Machine learning combined with this wealth of transaction data can create true learning machines - with models that can dynamically adapt to help achieve smarter business outcomes. Built on Apache Spark, organizations can rapidly develop, test and deploy cognitive applications all unified within the secure environment of z Systems, for the data that drives the enterprise.