Evidence-based reasoning is at the core of ma ny problem - solving and decision-making tasks in a wide variety of domains. Generalizing from the research and development of cognitive agents in several such domains, this paper presents progress toward a computational theory for the development of instructable cognitive agents for evide nce-based reasoning tasks. The paper also illustrates the application of this theory to the development of four prototype cognitive agents in domains that are critical to the government and the public sector . Two agents function as cognitive assistants, one in intelligence analysis, and the other in science education . The other two agents operate autonomously, one in cybersecurity and the other in intelligence, surveillance, and reconnaissance. The paper concludes with the directions of future research on th e proposed computational theory.

Today, there's a common notion that artificial intelligence (AI) is going to put us all out of jobs. But recently, I read an article (subscription required) where AI expert Robert Atkinson remarked that worries around AI and job loss are overblown. He said, "It's time to take a deep breath and stop panicking about artificial intelligence and what it portends for jobs. No, AI won't destroy more jobs than it creates. No, the pace of technological change is not accelerating. And no, we certainly don't need to tax AI to slow it down."

Founded in 1990, the Martin Luther King Jr. (MLK) Visiting Professors and Scholars Program honors the life and legacy of Martin Luther King by increasing the presence of, and recognizing the contributions of, underrepresented minority scholars at MIT. MLK Visiting Professors and Scholars enhance their scholarship through intellectual engagement with the MIT community and enrich the cultural, academic, and professional experience of students. Six scholars are visiting MIT this academic year as part of the program. Kasso Okoudjou is returning for a second year as an MLK Visiting Professor in the Department of Mathematics. Originally from Benin, he moved to the United States in 1998 and earned a PhD in mathematics from Georgia Tech. Okoudjou joins MIT from the University of Maryland College Park, where he is a professor.

Earlier this year, President Trump signed an executive order for the "American AI Initiative," to guide AI developments and investments in the following areas: research and development, ethical standards, automation, and international outreach. This initiative is indicative of the changing times, and how, as a country, the U.S. is learning to navigate the implications of AI. Leaders in the business world, specifically, are faced with the responsibility of equipping our employees with the skills necessary for paving long-lasting career paths, and the workforce must discover what will be expected as technology continues to disrupt the norm, and work as we know it. As a global business leader, an AI optimist, and a father, I find myself asking: What will make a career sustainable in 2020 and beyond? Will the future of education rise to meet the demands of the future of work?

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After Google Earth, Google Forms is the Google product that I get the most excited about helping other teachers use. From gathering survey data to organizing event registration to creating online quizzes there are lots of things that can be done efficiently if you know how to use Google Forms. That said, Google Forms has lots of little features that are sometimes overlooked even by people who have made lots of forms in Google Forms. In the following video I demonstrate five features of Google Forms that every teacher should know how to use (if they use Google Forms).

Just occasionally, Alán Aspuru-Guzik has a movie-star moment, when fans half his age will stop him in the street. "They say, 'Hey, we know who you are'," he laughs. "Then they tell me that they also have a quantum start-up, and would love to talk to me about it." "I don't usually have time to talk, but I'm always happy to give them some tips." That affable approach is not uncommon in the quantum-computing community, says Aspuru-Guzik, who is a computer scientist at the University of Toronto, Canada, and co-founder of quantum-computing company Zapata Computing in Cambridge, Massachusetts.

In the age of blockchains, 3D printing, CRISPR-Cas9 -- and the inevitable new technologies that are yet to emerge -- today's workforce is struggling to keep up with the latest developments. For large companies and executives, finding resources for workers to learn from that are current, reputable, and unbiased can be challenging. To address this unmet need, MIT has assembled a team of writers, educators, and subject matter experts from both academia and industry to power the Institute's newest online learning offering -- a digital content library designed to help organizations keep their workforces apprised of the latest developments in technology and science. Known as MIT Horizon, the platform contains bite-sized articles, videos, and podcasts on emerging technologies, with early topics including additive manufacturing, artificial intelligence, blockchain technology, and robotics. "Technologies are advancing very rapidly, and we feel a responsibility at MIT to provide learning opportunities that can help today's workforce keep up with this pace of innovation," says Sanjay Sarma, MIT vice president for open learning.

Artificial intelligence can help us to solve some of society's most difficult challenges and create a safer, healthier and more prosperous world for all. I've already shared the exciting possibilities in the fields of healthcare and agriculture in previous posts. But there may be no area where the possibilities are more interesting – or more important – than education and skills. From personalized learning that takes advantage of AI to adapt teaching methods and materials to the needs of individual students, to automated grading that frees teachers from the drudgery of assessing tests so they have more time to work with students, to intelligent systems that are transforming how learners find and interact with information, the opportunities to improve education outcomes and accessibility will be truly transformational. There are many classrooms around the world where educators teach very diverse groups of students from different cultures, who speak multiple languages.