On any given day we can find a story in the media about technology and its impact on society. But of equal importance are the ways in which new technologies like artificial intelligence (AI) and data analytics are shaping the media itself. The volume of content and the speed at which it is disseminated have both increased dramatically in the past ten years because of new technology platforms like Facebook and Twitter. The types of news pushed through these platforms or what we see when visiting them is being orchestrated by algorithms underpinned by advanced data analytics. And the ways in which we process, cite, and assess stories are all influenced by the types of screens we use and company we keep online. Together, these technologies can spread information and disinformation equally and in real time.

To prepare students for the careers of today -- and tomorrow -- we must up our game when it comes to understanding how to explore and integrate artificial intelligence (AI) in K-12 education. AI should be a critical element of any STEM curriculum. Educators are the link to preparing students to thrive in a world where artificial intelligence is an integral part of their life and career. Nearly 1,000 educators are participating in professional learning programs developed by ISTE that equips them to help students develop knowledge and skills about AI, including considering the capabilities, risks, and ethical questions related to using AI exploring solutions to problems in their communities.

The government's peak advisory body on tech and science has turned its attention to the development of an artificial intelligence ethics framework and lifelong learning of STEM skills. The National Science and Technology Council met for the third time in Brisbane last week, after it was launched to replace the Commonwealth Science Council in February this year. The meeting was chaired by Industry Minister Karen Andrews, with education minister Dan Tehan also in attendance. Council members include Professor Genevieve Bell, Professor Barbara Howlett, Professor Debra Henly and Professor Brian Schmidt. They were briefed on the government's progress in developing a national artificial intelligence ethics framework, and the "strong engagement" from stakeholders during consultation.

A blue-collar worker is a working class person who performs manual labor. Blue-collar work may involve skilled or unskilled manufacturing, mining, sanitation, custodial work, textile manufacturing, power plant operations, farming, commercial fishing, landscaping, pest control, food processing, oil field work, waste disposal, recycling, electrical, plumbing, construction, mechanic, maintenance, warehousing, shipping, technical installation, and many other types of physical work. Blue-collar work often involves something being physically built or maintained. In contrast, the white-collar worker typically performs work in an office environment and may involve sitting at a computer or desk. A third type of work is a service worker (pink collar) whose labor is related to customer interaction, entertainment, sales or other service-oriented work.

According to a study by the National Assessment and Accreditation Council, 90% of the colleges in India are of poor quality. The system itself encourages a rat race among students, which only makes them concerned about marks and mugging up facts instead of learning the concepts which stress them out. Teachers use outdated techniques to impart knowledge which today's students find monotonous. Moreover, teachers aren't even trained properly. Personalised Learning: AI enables personalised learning for students.

According to a release issued earlier this month by the Los Alamos National Laboratory (LANL), researchers have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds. The new approach can be applied to new molecules in milliseconds, enabling research into a far greater number of compounds over much longer timescales. The new technique, called ANI-1ccx potential, promises to advance the capabilities of researchers in many fields and improve the accuracy of machine learning-based potentials in future studies of metal alloys and detonation physics. "Our quantum mechanical calculations to create ANI-1ccx potential were conducted over two years with time split on the Comet supercomputer at the San Diego Supercomputer Center and the Badger supercomputer at LANL," said Olexandr Isayev, paper author and a pharmacy professor at the University of North Carolina at Chapel Hill. "We chose these two supercomputers to train our neural networks as there are few machines that can run these – due to the high memory and core requirements."

Education is perhaps one of the most obvious areas for the application of artificial intelligence, with the potential to improve access, dramatically reduce cost and accelerate learning outcomes. As in many other fields, AI in education is focused on performing cognitive functions such as perceiving, reasoning, learning, and problem-solving with application to vast the challenges and opportunities of continuously educating the 7.7 billion people on the planet. Overall, the Global Executive Panel sees significant potential for AI in education, with the greatest impact expected in testing and assessment. Post-secondary and language learning were also considered sectors which will be impacted, followed by K12. There were a wider range of views around AI's potential for Pre K.

LiveLab, our live facilitation tool, was named "Best Use of Artificial Intelligence in Education" in the 2019 EdTech Breakthrough Awards. It provides in-the-moment, actionable data, such as when students are working or idle, so you can effectively manage students working in MATHia at all times. LiveLab alerts you when students may be in need of additional support, and lets you know when students have reached progression milestones.

The next generation of scanning has arrived. The combination of this new scanner, its software and integration with Lemmana is unique. Never before has Machine Learning been used in the scanning process making this the first time unstructured content on paper documents, can be extracted so every piece of data is routed to the right place. Plus, because it has the ability to learn, this new generation scanner can recognise previous data, for example, patient or customer details, and then file similar information away in the same place, saving time and eradicating any human error. Lemmana is one of the first content service companies to use Machine Learning, so it should come as no surprise they have the expertise and knowledge to ensure everything they design is easily integrated into the many content platforms found around the world.

This lyrics of this music video are actually educational and they serve as an introductory lecture on AI. This video also acts as a teaser trailer for my upcoming, free 3 month Data Science course for beginners titled "Data Lit" at School of AI (Jan 28 start date). That's what keeps me going. Sign up for the "Data Lit" course at School of AI: https://www.theschool.ai/courses/data... Want more education? Shoutout to my Wizards, this ones for you It started with hello world hello engineers And now we're, world-wide yo and this the premiere So u gotta sit down tight and let me teach you a lesson I call it intro to AI, this is my confession Lesson one starts simple gotta get that data Don't even mess with the thetas until we get that data And if we open the file, it might look like a haze, But if we keep it algorithmic we can set it ablaze Hello!