While the company, as usual, has been secretive about its upcoming products, recent developments like Apple's recent purchases of eye-tracking company SMI have lent credence to the notion that we might see the Apple smart glasses in the future. The device has started creating a buzz because recent supply chain leaks indicate it is being actively being worked upon. Integrating SMI's technology might make the Apple device consumer-oriented. Apple updated its Siri patent in China and the European Union earlier this year, mentioning that Siri would support smart glass capability.

Last Thursday, Texas senior senator John Cornyn stood before an audience of wonks at the Council for Foreign Relations in Washington, DC, and warned that America's openness to investors looking for new ideas in technologies like artificial intelligence was putting it in danger. It recently worked with Baidu to set up a new national lab dedicated to keeping China competitive in deep learning, the technique behind recent progress in areas such as image and speech recognition, and a program called Artificial Intelligence 2.0 will funnel billions to develop AI for commercial and military use. China has made artificial intelligence a clear priority area to both its economy and military," says Peter Singer, a senior fellow who studies technology and national security at non-partisan think tank New America. Canada, which has universities that are crucial to the rise of deep learning, is using various federal and regional programs to build up artificial intelligence industry and research through immigration and foreign investment.

AEGIS allows the rover to be "trained" to identify rocks with certain characteristics that scientists on the ground want to investigate. With AEGIS, the rover could drive to a location, choose targets for investigation and gather data while it waits for radio contact with Earth again. For the study, the NASA team trained Curiosity, with the AEGIS software, to analyze bedrock in a feature called the Murray formation after each drive. The AEGIS system works by using two of the rover's cameras, the Chemistry and Camera instrument (ChemCam) and the navigation cameras.

Remember the 60s, and Herbert Simon predicting, "machines will be capable, within twenty years, of doing any work a man can do"? There were some accomplishments, namely the neural networks of the 90s and in the past 10 years, predictive analytics. Suddenly, it feels like every day we're hearing about new AI accomplishments. Deep learning especially has given it a big leap, but over time, AI evolved with different techniques and algorithms to get better.

The Future Factory is a lead generation and growth consultancy that spends one day per week working from their clients' workplaces, getting under the hood of agency life, ambitions and culture among all its idiosyncrasies and charm. Futurice partners with Europe's leading companies to help them build capability for the future through digital innovation, co-creating digital products and services and changing organisational culture. We also cover our people to spend a week each year working at a Futurice office in a different country. The Future Factory is a new business agency based in London.

Below are a few examples of how AI and IoT can be strongly synergistic in improving outcomes across areas such as power, health care, system design, and security. A built-in AI could alert the utility staff to an impending brownout that requires human action to avert. Or the AI could be more sophisticated and proactively turn thermostats up three degrees at homes and non-essential businesses, while keeping the thermostats stable at temperature-sensitive facilities such as hospitals and refrigerated warehouses. The IoT includes everything from very basic sensors to sophisticated devices that have basic intelligence programmed in.

The theory of rational choice assumes that when people make decisions they do so in order to maximize their utility. In order to achieve this goal they ought to use all the information available and consider all the choices available to choose an optimal choice. This paper investigates what happens when decisions are made by artificially intelligent machines in the market rather than human beings. Firstly, the expectations of the future are more consistent if they are made by an artificially intelligent machine and the decisions are more rational and thus marketplace becomes more rational.

The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. These techniques have impact on economic theories. This book studies the impact of artificial intelligence on economic theories, a subject that has not been extensively studied. The theories that are considered are: of this book is that it evaluates existing theories of economics and update them based on the developments in artificial intelligence field.

However, many of today's big data applications rely on machine learning (ML) workloads that are periodically retrained by accessing, and thus exposing to attack, the entire data store. Training set minimization methods, such as count featurization, are often used to limit the data needed to train ML workloads to improve performance or scalability. We present Pyramid, a limited-exposure data management system that builds upon count featurization to enhance data protection. As such, Pyramid uniquely introduces both the idea and proof-of-concept for leveraging training set minimization methods to instill rigor and selectivity into big data management.

The fact that people and machines can collaborate on a higher level is ignored by the scenarios that would have us believe that artificial intelligence will rob people of their employment. Take the much quoted study by the Oxford academics Osborne and Frey, which has rightly been described as a "back-of-the-envelope" study. With scant regard for method, Osborne and Frey extrapolate from their findings to conclude that nearly half of all jobs in the U.S. are at risk. By contrast, a study by the Nuremberg-based Institute for Employment Research concludes that, at most, 9 percent of jobs in advanced economies are at risk.