Shouldn't young people know about the most important change force that will influence their lives and livelihoods? That's why every high school should offer a course on artificial intelligence (AI). Or, better yet, incorporate a set of competencies into graduation requirements that ensure that every young person understands the technology drivers and the implications for the economy and society. The prevalence of AI has increased dramatically in the last few years. Most people are unaware that AI is a key technology behind personal assistants (Alexa, Siri, Google), autonomous vehicles, predictive analytics (Amazon and Netflix recommendations) and medical diagnostics just to name a few.

"They were trying to run their operation from that physical board," says Ted Schmitt, principal business development manager for conservation technology at Vulcan, the Seattle-based philanthropic tech company founded by Microsoft cofounder Paul Allen (who died on October 15), which partnered with the park to help it move to the company's digital system, called EarthRanger, in April. "They all know that poaching goes up during a full moon, for obvious reasons," says Schmitt. "But what they don't know, and they all expect, is that there are patterns like that latent in the data that they just can't pull out. That's the promise of machine learning…it's going to let them be proactive." The machine learning is still in early stages of development, but some analytic tools are already in use. A new heat map feature, for example, first tested at Grumeti Game Reserve in Tanzania and Liwonde National Park in Malawi, showed that most incidents were happening near the borders of each park, so rangers could focus on those areas with the highest risk.

Sign languages aren't easy to learn and are even harder to teach. They use not just hand gestures but also mouthings, facial expressions and body posture to communicate meaning. This complexity means professional teaching programmes are still rare and often expensive. But this could all change soon, with a little help from artificial intelligence (AI). My colleagues and I are working on software for teaching yourself sign languages in an automated, intuitive way.

Education is one of the most powerful predictors of future success that human society has at its disposal. How we gather, process, and disseminate knowledge to each successive generation impacts not just individual success, but a host of other related factors such as economic growth, political empowerment, and technological innovation. It is no secret that access to more effective education for individual students is a key factor in the overall betterment of society – and to women's role in society. I've long been a proponent of better education for women – from my early career days working for CARE, to becoming the Chief Strategy Officer of Top Scholar, contributing to the book "Innovating Women" and to founding a non-profit to help the disadvantaged attain better education. Recently, I've been looking around globally for innovative solutions that can leapfrog women's education forward.

It's no secret that Google is one of the most innovative companies on the planet. Besides pioneering and then dominating the search industry, it has also become a leader in developing futuristic technologies such as artificial intelligence, driverless cars and quantum computing. It has even launched a life science company. What makes Google so successful is not one particular process, but how it integrates multiple strategies into a seamless whole. For example, Google Brain started out as a 20% time project, then migrated out to its "X" Division to accelerate development and finally came back to the mothership, where it now collaborates closely with engineering teams to build new products. Yet perhaps its most important strategy, in fact the one that makes much of the rest possible, is how it partners with top scientists in the academic world.

Hyderabad, Jan 20: With the growing demand and applicability of artificial intelligence, Indian Institute of Technology Hyderabad is set to launch a full-fledged BTech program in AI starting from the academic year 2019-2020. It has become the first Indian Educational Institution to offer such a full-fledged B.Tech. Admissions to the course will be accepted based on the JEE Advanced score. With this, IIT Hyderabad becomes the first Indian educational institution to offer a full-fledged BTech programme in AI and reportedly the third institute globally after Carnegie Mellon University and Massachusetts Institute of Technology in the US. The course will reportedly only take in only 20 students.

As we already know, machine learning is a way of automating complex problem-solving. But can machine learning itself be automated? That's what we'll explore in this article. By its end, we'll have answered that question and shown practical ways it can be accomplished. When applying machine learning models, we'd usually do data pre-processing, feature engineering, feature extraction and, feature selection.

In this post, I'll give a short explanation of neuron, a Visual Studio Code extension that aims to be a one-stop-shop for data scientists. It's an extension I developed as part of a team of students at Imperial College London, in collaboration with Microsoft, in the summer of 2018. Data science is the buzz-word of the 21st century. From IoT devices generating thousands of data points per day, to social media connecting people's information on a scale never seen before, a lot of the development that goes on today sooner or later comes into contact with "data science". Data scientists come from various different technical backgrounds, but the vast majority of them use a standard set of tools of the trade: Python, insert name of trending machine-learning library, and Jupyter Notebooks.

"You've got a perfect storm, really," says Rose Luckin, a professor at University College London who has studied AIEd for the past 20 years. "You can do things that you weren't able to do before." AIEd now helps investigate the steps students go through when learning subjects from calculus to chemistry, shining a light on what individual learners need to progress. To get there, an AI program is first trained on hundreds or thousands of students' work, gaining a knowledge base of the common areas that give learners trouble. Then over time, as an individual uses the system, the AI homes in on specifics to focus on, usually offering bespoke lessons to brush up on skills, and, in some cases, offer pep talks through bots.

There has been a lot of excited talk recently about the threat to jobs posed by automation, robots, and now Artificial Intelligence (AI): machines that can think like humans. We're told that ever more complex tasks can now be automated and perhaps done better as a result, and we should all be preparing for a world in which we're competing for work with computers. Is teaching one of the jobs put at risk by the emergence of AI? Or does AI have potential to enhance life in the classroom? A recent event organised by BESA, the industry body for education suppliers, provided plenty of food for thought about these questions. He argued that AI can help us move away from the "factory model of education" towards a more open-ended system focused on creativity and problem solving – and he said we're seeing early signs of what technology can bring us in innovations such as "no lecture hall" universities and courses offering "nanodegrees".