If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
As artificial intelligence technology rapidly evolves to transform industries like health care and virtually assist people's lives, the hope is matched by concern about the displacement of human roles. At the same time, deployed AI platforms in today's business world augment processes at a more rapid pace than they replace them. While we've yet to determine the exact impact of AI, a recent report from the World Economic Forum estimates automation will replace at least 5 million jobs by 2022. One thing is clear today: AI is driving fundamental changes in how people conduct their jobs and how companies think about staffing for the future. In addition to taking on repetitive tasks, we've developed AI-powered technologies for positions that involve digital engagement with people, such as recruiting and human resources.
During training, the student network starts off in a random state. The generated waveform is then fed to the trained WaveNet model, which scores each sample, giving the student a signal to understand how far away it is from the teacher network's desired output. Over time, the student network can be tuned - via backpropagation - to learn what sounds it should produce. Put another way, both the teacher and the student output a probability distribution for the value of each audio sample, and the goal of the training is to minimise the KL divergence between the teacher's distribution and the student's distribution. The training method has parallels to the set-up for generative adversarial networks (GANs), with the student playing the role of generator and the teacher as the discriminator.
It isn't just the tech entrepreneurs and Hollywood directors who dream about the role that artificial intelligence can play, or will play, in everyday human life--educators have begun to join them. However, those dreams aren't always pleasant and may, in fact, sometimes turn into nightmares. If computer systems are able to perform tasks that humans have performed for thousands of years, will it render teachers and administrators a thing of the past? Or is artificial intelligence the secret to freeing up educators' time for other, non-routine tasks, like mentoring and spending more one-on-one time with students? To find out, I went straight to the source--eight educators, including superintendents, coaches and teachers--to find out whether AI tickles their fancy or scares them straight.
Artificial Intelligence (AI) is one of the most booming topics in every industry. Based on the demand, Artificial Intelligence Courses are offered by a number of massive open online courses (MOOCs) providers like Udemy, Coursera, and edX. Some of this popular MOOC providers offer some in-depth artificial intelligence programs. Majority of these artificial intelligence tutorials are often taught by industry top AI researchers or experts. However, these courses are cheaper compared to the university courses.
A 2015 survey of 52 countries and economies ranked Japan second behind Singapore in collaborative problem-solving skills among 15-year-old students, the Organization for Economic Cooperation and Development said Tuesday. The top four spots were occupied by those who participated from Asia, with Hong Kong and South Korea ranking third and fourth, respectively, while Canada and Estonia were tied for fifth. Among 32 OECD countries surveyed, Japan was best. According to the OECD, few efforts have been made to assess students' collective problem-solving skills despite the trait being much in demand in modern workplaces. The survey was the first-ever assessment in this area conducted as part of the Program for International Student Assessment, the OECD said.
It isn't just the tech entrepreneurs and Hollywood directors who dream about the role that artificial intelligence can play, or will play, in everyday human life--educators have begin to join them. However, those dreams aren't always pleasant and may, in fact, sometimes turn into nightmares. If computer systems are able to perform tasks that humans have performed for thousands of years, will it render teachers and administrators a thing of the past? Or is artificial intelligence the secret to freeing up educators' time for other, non-routine tasks, like mentoring and spending more one-on-one time with students? To find out, I went straight to the source--eight educators, including superintendents, coaches and teachers--to find out whether AI tickles their fancy or scares them straight.
I want to answer some questions that I'm commonly asked: What kind of computer do I need to do deep learning? What deep learning library do you recommend for beginners? How do you put deep learning into production? I think these questions all fall under a general theme of What do you need (in terms of hardware, software, background, and data) to do deep learning? This post is geared towards those new to the field and curious about getting started.
These new applications require a new way of thinking about the development process. Traditional application development has been enhanced by the idea of DevOps, which forces operational considerations into development time, execution, and process. In this tutorial, we outline a "cognitive DevOps" process that refines and adapts the best parts of DevOps for new cognitive applications. Specifically, we cover applying DevOps to the training process of cognitive systems including training data, modeling, and performance evaluation. A cognitive or artificial intelligence (AI) system fundamentally exhibits capabilities such as understanding, reasoning, and learning from data.
The idea of access to artificial intelligence (often referred to as "AI" for short) for all is still at a nascent stage. Nevertheless, its potential is limitless – from refugee assistance, to helping students at risk of not completing school, to shortening the response time for teens who are in a personal crisis. During the recent Dreamforce conference in San Francisco, several nonprofit leaders discussed how the use of artificial intelligence and other technologies, such as machine learning, can dramatically improve lives – including those of many who live in the most underserved communities. Some of those citizens now benefiting from artificial intelligence include college and university students in Texas. College Forward, based in Austin, offers coaching and mentoring programs to help at-risk students continue their success in higher education so that they can eventually embark on a successful career.
Across the world, higher education is increasingly being judged through the lens of employability. More and more, politicians are asking universities how they are preparing students for work, and even tying their funding to their graduates' success in the workplace. In the West, this has mainly been a result of the squeeze on the public purse and – in some countries, at least – an accompanying rise in tuition fees. But there is also growing anxiety about the technological revolution's potential to replace large numbers of human workers with computers and robots if humans can't keep one step ahead in the race to acquire skills. So how well are universities meeting the challenge of preparing graduates for the digital age?