The education ministry plans to establish a system that allows students at some 50 high schools to take university courses and earn credits, with the aim of developing human resources in view of expected advances in artificial intelligence technologies. Advanced differential equation, data mining and other subjects in the mathematics and science fields will be covered by the planned version of the advanced placement system, which is used in the United States and other countries, according to ministry officials. The ministry is set to choose at least one high school from each of Japan's 47 prefectures over the next decade or so for the program. The planned initiative was included in a report compiled by a ministry panel discussing education policies for coming generations. Through the system, the ministry hopes to allow highly motivated high school students with excellent academic performances to receive even higher levels of education after they advance to university.

Imagine a world where smart pantries sense when you are running out of your favourite food and order more of it, without you lifting a finger. Where intelligent robots roam your supermarket, ever at your service. Where dynamic food pricing changes minute-to-minute depending on the weather outside, or what the store down the road is offering. Amazon workers'refuse' to build tech for US immigration It may sound like a seismic shift in our food retail world, but these technological frontiers are real and the food sector is gearing up in a big way. What is less certain is what impact such changes will have on our health.

Computational tools to support this through proof checking, automatic theorem proving, and computer algebra are well-established, though they require formal, computationally explicit, content as input. However, the existing mathematical literature, particularly informal mathematical dialogues, and expository texts, is opaque to such systems, which cannot currently handle the variety of activities typically involved in producing such knowledge and proofs, such as, for example, exposition and argument that concerns making conjectures, forming concepts, and discussing examples and counterexamples. Our goal is to bridge this gap through devising an expressive modelling language that is closely related to the way mathematics is actually done. Our approach to modelling such content is inspired by the general-purpose argument modelling formalism Inference Anchoring Theory (IAT), introduced by Reed and Budzynska (2010). As its name suggests, IAT anchors logical inferences in discourse. IAT has been applied to mediation (Janier and Reed, 2017), debates (Budzynska et al, 2014b), and to paradoxes in ethotic argumentation (Budzynska, 2013), along with other real-world dialogues (Budzynska et al, 2013).

The Internet contains various categories of materials, some of which can be used as educational resources. These educational resources can be retrieved for content creation for use in Adaptive eLearning Systems (AES). Adaptive eLearning is a branch of eLearning that provides educational materials and resources based on the learners' needs. The adaptive learning system is not limited to delivering materials in a personalised manner to the learner; it also adapts in terms of interaction with learners and maintains learners' preferences. Artificial Intelligence plays a key role in adaptive eLearning by providing a personalised learning experience.

Will you smell the robot in the room? Might documentaries explore the situation of bioprinted human organ transplantations on the black market? Will virtual reality cause a worldwide obesity epidemic? The Medical Futurist shares the weirdest ideas about how healthcare might look a hundred years from now. Let's peek into a dystopic future of healthcare.

I got excellent feedback after taking part in the panel discussion, and since it was not recorded I thought I would write a blog post on some of what I discussed, my response to the core questions and some other thoughts I had on the topic. Artificial Intelligence (AI) is often thought of as being new areas that are currently hard to automate, difficult problems to solve using computers, and ultimately replacing humans jobs. Yet we have been using a form of AI or Machine Learning (ML) since the 1950's as Artificial neural network, later on adopted by businesses in 1970's initially as decision support systems, and later evolving into data mining, business intelligence, analytics & insights, and more recently data science. What has changed is that the sales and marketing teams are now involved, and sometimes even overpromising on what is possible! Yet there has also been an increase in computing power, storage capacity with massive datasets collected from a larger number of sources, and open source data science code, packages and tutorials that are readily available.

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With the rapid pace of innovation continually disrupting business models, and in many cases entire industries, how will online learning keep up to provide the relevant courseware for today's and tomorrow's workforce? This will be essential for economic growth and to support a thriving, college-educated workforce that's equipped with the very latest knowledge, ideas and technology. In the future, I believe that institutions at the forefront of online education will be recognized via several capabilities which will have digitally transformed today's EdTech market. They will include a powerful combination of omni-channel learning pathways, cognitive courseware, virtual counselors and AI-enabled course development and grading. These innovations, underpinned by artificial intelligence (AI), will help to provide students the ultimate choice in their courseware – including up-to-the-minute courses on high-interest/high-growth subject matter – as well as highly-innovative digital services that support them every step of the way to help maximize their success and personal objectives.

I live in Brisbane, Australia. I graduated in 2015 with a Dual Major in Food Science and Nutrition. It took me five years to do a three-year undergraduate degree. I thought I wanted to be a doctor. Probably because I was following what my friends were doing rather than creating my own path.

When discussing artificial intelligence, we form pictures of hi-tech machines and robots that are as efficient as the human mind. Amidst all this, the basic fact that AI is nothing but an advancement in technology is forgotten. In scientific terms, AI is a backend algorithm that programs machines to emulate and extend human behavior and actions. Today, AI has left no sector untouched by its innovations and novelty. Its contributions to the educational sector, especially, have been most beneficial because education forms the basis of all knowledge and progress.