Robots are coming for our jobs, and the work left over for humans is getting worse and paying less. Changes in technology and culture over the past decade have created jobs your high school guidance counselor could never imagine in their wildest dreams. Meanwhile, the safe, traditional jobs like lawyering and doctoring come with ever-increasing price tags and fewer career prospects. Unless the post-work utopia theorists are raving about comes around soon, picking your career is one of the most important choices of your life. You might as well make it one that's fulfilling and cuts a decent paycheck.

In this special guest feature, Mark Scott, CMO at Apixio, highlights the prevalence of machine learning in everyday life and offers five ways you're (probably) already using machine learning all without you realizing or thinking about it. Mark has more than 19 years of medical technology and health care provider marketing experience. His expertise covers all the bases--from brand development, positioning and messaging; to brand identity, packaging and labeling; public relations; content marketing, website development; internal/employee communications; and global brand-launch activations. Mark has a Bachelors and a Masters Degree from the University of Western Ontario. "Machine learning" can seem like a scary term, bringing to mind images of the techno-dystopias portrayed in the Matrix, Terminator, and Black Mirror.

If you want to carve out a career in machine learning then knowing where to start can be daunting. Not only is the technology built on college-level math, jobs in the field typically ask for a Master's degree in a related technical field. Yet if you're willing to work at it, it's never been easier to learn about machine learning, and getting started doesn't even require much mathematical knowledge. Here's five tips for breaking into the field from senior data scientists and machine-learning engineers, speaking to TechRepublic at the AI Conference presented by O'Reilly and Intel AI. If you plan to start tweaking the machine-learning models used then you'll need need a reasonably deep knowledge of math, spanning linear algebra, calculus and statistics.

We present a novel intelligent tutoring system which builds upon well-established hypotheses in educational psychology and incorporates them inside of a scalable software architecture. Specifically, we build upon the known benefits of knowledge vocalization, parallel learning, and immediate feedback in the context of student learning. We show that open-source data combined with state-of-the-art techniques in deep learning and natural language processing can apply the benefits of these three factors at scale, while still operating at the granularity of individual student needs and recommendations. Additionally, we allow teachers to retain full control of the outputs of the algorithms, and provide student statistics to help better guide classroom discussions towards topics that would benefit from more in-person review and coverage. Our experiments and pilot programs show promising results, and cement our hypothesis that the system is flexible enough to serve a wide variety of purposes in both classroom and classroom-free settings.

British MPs made history today as they took evidence from a robot for the first time ever. Pepper the robot spoke to the education select committee on the rise of artificial intelligence and how UK schools should respond. The stunt was the first time a non-human has been invited to speak to Parliament in its 700-year history. Pepper, who spoke in an America accent, is a humanoid robot based at the University of Middlesex. Education Select Committee chairman and Tory MP Robert Halfon invited the machine to speak to MPs after being impressed with her on a visit to the university.

The Massachusetts Institute of Technology (MIT) today announced a $1 billion initiative to reshape how the college operates and make artificial intelligence a part of its curriculum for all students. The shakeup is being made, MIT president L. Rafael Reif said, to "prepare students of today for the world of the future" and represents the biggest change to curriculum at the school since the 1950s. The effort will be spearheaded by a $350 million donation from from Blackstone investment firm CEO Stephen Schwarzman. An additional $300 million has been raised for the $1 billion project. The Stephen A. Schwarzman College of Computing will work on incorporating computing and AI into all fields of study at MIT, encouraging cross-disciplinary endeavors, and exploring ways to create a shared structure between the university's five existing schools.

The Massachusetts Institute of Technology has announced plans to create a new college for the development of artificial intelligence. The university said it would add 50 new faculty members and create an interdisciplinary hub for work in computer science, AI, data science, and related fields. The Massachusetts Institute of Technology has announced plans to create a new college for the development of artificial intelligence. A large part of the new funds will come from a gift from Stephen Schwarzman, chairman and co-founder of financial giant Blackstone, after whom the new college will be named. 'As computing reshapes our world, MIT intends to help make sure it does so for the good of all,' said MIT President Rafael Reif.

Dozens of employers looking to hire the next generation of tech employees descended on the University of California, Berkeley in September to meet students at an electrical engineering and computer science career fair. Boris Yue, 20, was one of thousands of student attendees, threading his way among fellow job-seekers to meet recruiters. But Yue wasn't worried about so much potential competition. While the job outlook for those with computer skills is generally good, Yue is in an even more rarified category: he is studying artificial intelligence, working on technology that teaches machines to learn and think in ways that mimic human cognition. His choice of specialty makes it unlikely he will have difficulty finding work.

Machine learning (ML) is touted as the most critical skill of current times. Artificial intelligence (AI), an application of ML, is becoming pervasive. From autonomous vehicles to self-tuned databases, AI and ML are found everywhere. Industry analysts often refer to AI-driven automation as the job killer. Almost every domain and industry vertical are getting impacted by AI and ML.

Artificial intelligence researcher Fei-Fei Li has spent her career trying to make software smart--with some success. Lately she's begun to ask herself a new question: How can we make smart software aligned with human values? "As much as AI is showing its power, it's a nascent technology," Li said at the WIRED25 Summit in San Francisco Monday. "What's really important is putting humanity at the center." As a researcher at Stanford and Google, Li has helped perfect and spread machine learning technology that allows computers to understand the world through images and video.