As machines become more intelligent, they become embedded in countless facets of life. In some ways, they can act almost as full-fledged members in human-machine teams. In such cases, as with any team, trust is a necessary ingredient for good performance. But the dynamics of trust between people and machines are not yet well-understood. With a two-year project funded through the SUTD-MIT Postdoctoral Fellows Program, a collaboration between MIT and the Singapore University of Technology and Design (SUTD), postdoc Xi Jessie Yang, MIT Department of Aeronautics and Astronautics Assistant Professor Julie Shah, and SUTD Engineering Product Development Professor Katja Hölttä-Otto aim to develop greater knowledge in this area.

With the rapid growth of the Internet of Things (IoT), tens of billions of sensor devices are projected to connect in the next decade. These connected sensor devices will automate processes across a broad range of economic sectors, from industrial plants to healthcare management, delivering productivity gains and hopefully quality-of-life improvements.

So, how do we overcome "notification overload" in healthcare? We need the right kind of tools. We need tools that can automate the complex interdisciplinary workflows that result in much of the notification burden. AI-assisted care plan creation, sharing platforms to involve all stakeholders (physicians, home health agencies, care coordinator nurses, patients, and health plans), are a part of the answer. Regulatory and policy changes (within institutions and within health plans) will be needed to facilitate this, once the tools are available.

X.ai is an NYC based artificial intelligence company that's raised over 30 million. I sat down with the founder Dennis Mortensen to learn more about how they're positioning and selling the product to the enterprise. Talking to him got me super curious about the rise of artificial intelligence, and I hope this interview does similar for you. SUBSCRIBE for more videos like this: http://youtube.com/alxberman?sub_conf... Need lead generation or marketing support for your agency?

Bell started working at Intel in 1998. She brought her anthropological research and fieldwork techniques to the world of microprocessors, wearables and artificial intelligence. Over the years, her formal role has evolved from director of user experience at Intel's research lab to VP of corporate strategy. But regardless of the titles, her work has remained firmly focused on studying the patterns and complexities of human behavior across cultures. In her self-proclaimed role as a "full-time anthropologist and part-time futurist," she examines the meaning of "intelligence" within the context of machines, while she continues to trace its cultural impact on humans and their relationships. At a time when robotic helpers and virtual assistants are starting to infiltrate our personal lives, the need to assess the implications of this new kind of interaction feels more pertinent than ever. I recently called Bell to talk about the social impact of building relationships with our machines and the ways in which the story of AI is deeply connected to the history of human culture. In what ways does the study of human societies and cultures drive technological innovation? And how does that translate into your work at Intel?

Hiroshige Seko, the new head of the Minister of Economy, Trade And Industry, says the government needs to implement policies that will help the Japanese automotive industry keep its lead in the global arena by developing advanced autonomous driving technologies ahead of overseas competitors. "The internet of things, artificial intelligence and self-driving technologies are very important for Japan," Seko said in a recent interview. Asked if the government can achieve its targets for nuclear power and renewable energy included in the country's best energy mix for fiscal 2030, which was adopted by METI in July 2015, Seko offered assurances that nuclear plant safety measures tightened under the new standards introduced in July 2013 are sufficient, and that the Nuclear Regulation Authority conducts rigorous safety screenings regardless of government policy. It is important for the government to fully explain that detailed disaster management and evacuation plans have been laid out, said Seko, who took up his ministerial post in the Aug. 3 Cabinet reshuffle by Prime Minister Shinzo Abe. The energy mix sets Japan's reliance on nuclear power in the year to March 2031 at 20 to 22 percent and that on solar, wind and other renewable energy at 22 to 24 percent. The nuclear safety standards were drawn up based on lessons from the March 2011 crisis at the Fukushima No. 1 nuclear plant.

PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. It is designed to integrate well with related software packages, such as scikit-learn, shogun, MDP, etc. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is free software and requires nothing but free-software to run. PyMVPA stands for MultiVariate Pattern Analysis (MVPA) in Python.

The U.S. healthcare system is well on its way in the transition to value-based payment models that reward providers for delivering quality outcomes and keeping patients healthy. In fact, as of March 2016, the Department of Health and Human Services reported that an estimated 30 percent of Medicare payments were already tied to these new alternative payment systems. Value-based programs are replacing traditional fee-for-service models that pay providers based on the number of services delivered. The newer models are designed to encourage care that is well-coordinated, cost-effective and lead to quality patient outcomes. In order to achieve new payment objectives, providers are seeking opportunities to engage patients in their own care, improve patient satisfaction and keep patients healthier.

Our VP of Business Development, Markus Zirn, discusses two of the biggest trends in tech – Slack and AI – and how Workato brings them together to create the future of work. According to the latest okta survey, Slack is the #1 fastest cloud application in enterprises with a 77% growth rate. Slack enables team communication by providing chat rooms, organized by themes, as well as offer private messaging and private group messages. In May 2016, it counted 3M daily active users. There's no question that Slack has become nothing short of a movement to bring team communication to the 21st century.

The digital universe is expanding at a staggering rate. Right now, there are about 4.4 zettabytes of data on the internet. For reference, a zettabyte is equivalent to 1000? bytes. According to the IDC, by 2020 there will be approximately 44 zettabytes of data. The increase is not only staggering but is scheduled to take place in a relatively short amount of time.