The world is now at a crucial point in technology evolution. The future depends on its deployment across all industries today, including in higher education. Artificial Intelligence-based technologies are thought to promote rather than hinder democratic values including freedom, equality, and transparency. AI-based technologies can become a tool to promote equity and personalized learning. For the past 20 years, Artificial Intelligence (AI) has made some advances in higher education, but not enough.

Many waited with bated breath as two of some of the greatest tech minds of the generation, Elon Musk and Jack Ma, came together at the World Artificial Intelligence Conference in Shanghai on Wednesday. As expected, the energy was high and the discussion, at times, tense. In an hourlong conversation, the men behind Tesla and Alibaba had a war of words over artificial intelligence, Mars, and the future. After Ma said he wasn't scared of the future of AI, Musk laughed and said those would be the Chinese businessman's "famous last words." "I think AI is going to open a new chapter of this society of the world that people try to understand ourselves better rather than the outside world," Ma said. He added: "I'm quite optimistic.

A study by Stanford University indicates that virtual reality, adaptive learning or analytical learning will be common in the classroom within fifteen years. Although Artificial Intelligence (AI) is already part of our lives, it is still strange to hear about it in areas such as education, where the reality of the classroom advances at a much slower pace than that of technology. However, it is precisely the educational field that could be reinforced and transformed the most thanks to the new artificial intelligence systems and their capacity to contribute to the personalisation of learning. This is what a group of researchers and academics believe that, backed by Standford University, published last September the report Artificial Intelligence and Life in 2030. According to the study, virtual reality, adaptive learning, analytical learning and online teaching will be common in classrooms in just fifteen years.

A study by Stanford University indicates that virtual reality, adaptive learning or analytical learning will be common in the classroom within fifteen years. Although Artificial Intelligence (AI) is already part of our lives, it is still strange to hear about it in areas such as education, where the reality of the classroom advances at a much slower pace than that of technology. However, it is precisely the educational field that could be reinforced and transformed the most thanks to the new artificial intelligence systems and their capacity to contribute to the personalisation of learning. This is what a group of researchers and academics believe that, backed by Standford University, published last September the report Artificial Intelligence and Life in 2030. According to the study, virtual reality, adaptive learning, analytical learning and online teaching will be common in classrooms in just fifteen years.

And see also this great piece from Mashable on what manufacturers are up to next. In the near future, sensing algorithms will achieve super-human performance for capabilities required for driving. Automated perception, including vision, is already near or at human-performance level for well-defined tasks such as recognition and tracking. Advances in perception will be followed by algorithmic improvements in higher level reasoning capabilities such as planning. Beyond self-driving cars, we'll have a variety of autonomous vehicles including robots and drones.

And see also this great piece from Mashable on what manufacturers are up to next. In the near future, sensing algorithms will achieve super-human performance for capabilities required for driving. Automated perception, including vision, is already near or at human-performance level for well-defined tasks such as recognition and tracking. Advances in perception will be followed by algorithmic improvements in higher level reasoning capabilities such as planning. Beyond self-driving cars, we'll have a variety of autonomous vehicles including robots and drones. AI also has the potential to transform city transportation planning, but is being held back by a lack of standardisation in the sensing infrastructure and AI techniques used. Accurate predictive models of individuals' movements, their preferences, and their goals are likely to emerge with the greater availability of data. That last sentence is worth reflecting on for a while. It does indeed seem highly likely to happen, but that doesn't mean we have to like what it might mean for society.

And see also this great piece from Mashable on what manufacturers are up to next. In the near future, sensing algorithms will achieve super-human performance for capabilities required for driving. Automated perception, including vision, is already near or at human-performance level for well-defined tasks such as recognition and tracking. Advances in perception will be followed by algorithmic improvements in higher level reasoning capabilities such as planning. Beyond self-driving cars, we'll have a variety of autonomous vehicles including robots and drones. AI also has the potential to transform city transportation planning, but is being held back by a lack of standardisation in the sensing infrastructure and AI techniques used. Accurate predictive models of individuals' movements, their preferences, and their goals are likely to emerge with the greater availability of data. That last sentence is worth reflecting on for a while. It does indeed seem highly likely to happen, but that doesn't mean we have to like what it might mean for society.

And see also this great piece from Mashable on what manufacturers are up to next. In the near future, sensing algorithms will achieve super-human performance for capabilities required for driving. Automated perception, including vision, is already near or at human-performance level for well-defined tasks such as recognition and tracking. Advances in perception will be followed by algorithmic improvements in higher level reasoning capabilities such as planning. Beyond self-driving cars, we'll have a variety of autonomous vehicles including robots and drones.

This month Stanford launched a 100-year study of AI (AI100) with a report: Artificial Intelligence and Life in 2030. The 16 member study panel issuing the report sees increasingly useful applications of AI, with potentially profound positive impacts on our society and economy over the next decade. The study identifies eight domains where AI is already having or is projected to have the greatest impact: transportation, healthcare, education, low-resource communities, public safety and security, employment and workplace, home/service robots and entertainment. Check out this Pearson video (and our review of their report): Over the next few months, we'll be exploring developments in these eight categories and the implications for employment and education. This series, #AskAboutAI, will encourage parents, teachers, mentors and advisors to engage young people in a dialog about the emerging automation economy and the ethical and economic implications of artificial intelligence (AI).

The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society. As its core activity, the Standing Committee that oversees the One Hundred Year Study forms a Study Panel every five years to assess the current state of AI. The first Study Panel report, published in September 2016, focusses on eight domains the panelists considered to be most salient: transportation service robots healthcare education low-resource communities public safety and security employment and workplace and entertainment. In each of these domains, the report both reflects on progress in the past fifteen years and anticipates developments in the coming fifteen years. The report also includes recommendations concerning AI-related policy.