Mr. Yiannouka is the CEO of the World Innovation Summit for Education (WISE), a global think tank of the Qatar Foundation. WISE is dedicated to enabling the future of education through innovation. Its activities encompass research, capacity-building programs, and advocacy. WISE flagship initiatives include an annual series of research publications, a biennial global summit dubbbed the'Davos of education', the WISE edTech Accelerator, the WISE Innovation Awards, and the WISE Words podcast. Prior to joining WISE in August 2012, Stavros was the Executive Vice-Dean of the Lee Kuan Yew School of Public Policy (LKY School) at the National University of Singapore.

In last week's recap, I recounted how Alec Ross, author and technology policy advisor, had speculated that robot design, development and manufacturing would be critical to future economic well-being worldwide. What I didn't share was some of the background he provided that calls into question whether United States is positioning itself to be a leader in the robotics industry and the impact robotics will have on U.S. manufacturing jobs going forward. John Hitch has authored two recent articles on the robotics industry--a July 17 article, Reconciling Robot-Induced Anxiety and Admiration and an August 14 article, Manufacturing Obscurity is a Fate Worse than the Robopocalypse. These articles provide detail on these two questions above, and I highly recommend you read them. Here is some of the information they present.

Brent is a PhD Candidate in the Department of Computer Science and a member of the Φ Lab and Insight Lab. He was previously the instructor for MMASc 9251A: Professional Computing for Applied Scientists and presently the Teaching Assistant for Unstructured Data. As of March 1st 2019, Brent will also be a Mitacs Accelerate Intern. This work is with the Parkwood Institute and IBM with the target of improving mental health resources for Canadian Veterans. His research interests are two-fold.

Deadline: September 30, 2019 00:00 (CEST) Apply here Eligibility: Start-ups using machine learning (ML), artificial intelligence (AI), blockchain or extended reality, registered in one of UNICEF's programme countries, and have a working, open source prototype (or you are willing to make it open-source) showing promising results The UNICEF Innovation Fund is looking to make up to 100K equity-free investments to provide early-stage (seed) finance to for-profit technology start-ups that have the potential to benefit humanity. UNICEF's Innovation Fund has been specifically designed to finance early stage, open-source technology that can benefit children. The core motivation of the Innovation Fund is to identify "clusters" or portfolios of initiatives around emerging technology – so that UNICEF can both share markets and also learn about and guide these technologies to benefit children. It invests in solutions clusters around $100 billion industries in frontier technology spaces, such as blockchain, virtual and augmented reality, machine learning, and artificial intelligence. If you've got a start-up using machine learning (ML), artificial intelligence (AI), blockchain or extended reality, registered in one of UNICEF's programme countries, and have a working, open source prototype (or you are willing to make it open-source) showing promising results, the UNICEF Innovation Fund is looking for you.

Artificial intelligence (AI) is rapidly changing the educational landscape around the world. The technology is helping to simplify administrative tasks so that teachers can focus on communicating with students instead of spending valuable time on manually grading exams and homework. This new, tech-oriented approach may also help educators to create customized learning materials based on traditional syllabuses, and foster a personalized approach to learning. While India is serious about investing in AI, it's still way behind China, which plans to create a $150 billion AI-based tech sector by 2030. However, the education industry on the Indian subcontinent is experiencing dynamic growth and is currently revolutionizing the approach to learning.

MIT graduate student Justin Swaney is applying machine learning to music production. Rhythmic flashes from a computer screen illuminate a dark room as sounds fill the air. The snare drum sample comes out crisp and clean by itself, but turns muddy in the mix, no matter how the levels are set. Welcome to the world of modern music-making -- and its discontents. Today's digital music producers face a common dilemma: how to mesh samples that may sound great on their own but do not necessarily fit into a song like they originally imagined.

You don't need a professional degree to master AI and ML, but you do need boundless passion.

It's often said that data is the oil of the twenty-first century, and artificial intelligence is the driving force. Companies in all sectors are combining the reasoning abilities of the human mind with the processing power of computers, developing algorithms that can trawl through colossal data sets to help businesses make more informed decisions. That means that tomorrow's future business leaders need more than a passing familiarity with AI. For this reason, several of the world's best business schools have launched specialist master's programs in AI. Canada's Smith School of Business, the University of Bologna in Italy, and Imperial College London are among the top-tier institutions running AI MSc courses that give students the technical, managerial and interpersonal skills they need to master machines.

Two years ago, I started learning machine learning online on my own. I shared my journey through YouTube and my blog. I had no idea what I was doing. I'd never coded before but decided I wanted to learn machine learning. When people find my work, they sometimes reach out and ask questions.