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"The groundwork for machine learning was laid down in the middle of last century. But increasingly powerful computers - harnessed to algorithms refined over the past decade - are driving an explosion of applications in everything from medical physics to materials, as Marric Stephens discovers When your bank calls to ask about a suspiciously large purchase made on your credit card at a strange time, it's unlikely that a kindly member of staff has personally been combing through your account. Instead, it's more likely that a machine has learned what sort of behaviours to associate with criminal activity - and that it's spotted something unexpected on your statement. Silently and efficiently, the bank's computer has been using algorithms to watch over your account for signs of theft. Monitoring credit cards in this way is an example of "machine learning" - the process by which a computer system, trained on a given set of examples, develops the ability to perform a task flexibly and autonomously. As a subset of the more general field of artificial intelligence (AI), machine-learning techniques can be applied wherever there are large and complex data sets that can be mined for associations between inputs and outputs. In the case of your bank, the algorithm will have analysed a vast pool of both legitimate and illegitimate transactions to produce an output ("suspected fraud") from a given input ("high-value order placed at 3 a.m."). But machine learning isn't just used in finance. It's being applied in many other fields too, from healthcare and transport to the criminal-justice system. Indeed, Ge Wang - a biomedical engineer from the Rensselaer Polytechnic Institute in the US who is one of those pioneering its use in medical imaging - believes that when it comes to machine learning, we're on the cusp of a revolution."

"On Tuesday, China's state-run news outlet Xinhua announced the latest addition to its news team: Xin Xiaomeng. But Xin never went to journalism school - or any school - because "she" is not a real person. Instead, she's an artificial intelligence created by Xinhua and search engine Sogou - making her the world's first female AI news anchor."

"These projects are downloadable step-by-step guides, with explanations and colour screenshots for students to follow. Each project is a stand-alone activity, written to last for a single lesson, and will guide children to create a game or interactive project that demonstrates a real-world use of artificial intelligence and machine learning."

"An artificial intelligence algorithm has outperformed humans in a reading comprehension test for the first time"

"Artificial intelligence (AI) and machine learning are all around us - from Siri on your iPhone to Google Map suggestions, to recommendations for purchases during your Amazon check-out. While many of us may think AI and machine learning mean more robots and self-driving cars, at a fundamental level, they are about data - and ways to make meaning of data. In this workshop, we'll use a hands-on project based approach to learn how to put data to use for us in our everyday lives."

"When it comes to productivity, humans don't come close to robots. Machines don't need sleep, won't slack off or ask for a raise and generally don't need vacation days so they can sunbathe in Bali. According to a study from Oxford University and the Oxford Martin School, 47% of jobs in the United States are "at risk" of becoming "automated in the next 20 years." PwC has similar findings, estimating that 38% of U.S. jobs are at risk of being replaced by robots and artificial intelligence in the next 15 years. And while two-thirds of Americans believe robots will take over most of the workforce in the next 50 years, they're also in denial: 80% say their job will "probably" or "definitely" be around in five decades. Here are five robots that are coming to take some jobs from unsuspecting humans: "

"What if you could squeeze an extra ten minutes out of your busy day and devote them to more meaningful interactions with students, colleagues and parents? While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Carving out extra time in a teaching day may seem like a tall order for many educators, who often must steal hours from their evenings, cutting into their own professional development time and tipping the scales on their work-life balance. While a school day is estimated to be around 6.7 hours, every educator knows that a teacher's workday is much longer. Add the time required for all the other parts of the job-lesson planning, providing students extra support, grading, and parent and staff meetings-and teachers can expect to put in a 12- to 16-hour workday. Recent advancements in data analytics and artificial intelligence, however, may help teachers gain back some of those hours. These technologies offer new efficiencies and insights into classroom learning, allowing educators to harness the power of data from their learning management systems (LMSs) and freeing them up to focus their time on activities that truly lead to better learning outcomes."

"The start of a new school year is a great time to think about long-term plans for the upcoming year, but also the plans we need to make for our students for years to come. Each day there are news alerts on topics such as artificial intelligence and machine learning, augmented and virtual reality, digital citizenship and literacy and their relation to education. These are the trends and terms that are already a part of our world and will become an increasing part of our future. Beyond these technology-themed trends, we're learning more about social-emotional learning (SEL), mental health awareness, mindfulness and trauma-informed teaching. These are important issues and educators must stay informed on best practices and ways to make these 'themes' part of our daily practice. As educators today, it's no longer about simply planning instruction with our students in mind. We also have to consider how changing technology trends and important societal issues will impact our students both now and beyond high school. How can we best prepare them to not only find success for themselves but also make an impact on others? So the pressure is on, to really consider how we can best prepare students not just for this school year, not just for life after high school graduation, but well beyond. We need to prepare our students for the year 2030 and the future. But how?"

"Invasion. Takeover. These are the kind of words that have been bandied about in news headlines about robotics and artificial intelligence in the last few years. The coverage has been almost relentlessly negative, focusing on the threat to jobs, squeezing out the human component. While such potential is there, if robotics and AI do become a threat, then we believe this would be a threat of society's own choosing."

"Last Friday, we mentioned how Google's artificial intelligence software DeepMind has the ability to teach itself many things. It can teach itself how to walk, jump and run. Even take professional pictures. Or defeat the world's best player of the Chinese strategy game, Go. The science of teaching computers how to do things is called Deep Learning. And you can now immerse yourself in this world by taking a free, 3-month course on Deep Learning itself. Offered through Udacity, the course is taught by Vincent Vanhoucke, the technical lead in Google's Brain team."

"Like a lot of children, my sons, Toby, 7, and Anton, 4, are obsessed with robots. In the children's books they devour at bedtime, happy, helpful robots pop up more often than even dragons or dinosaurs. The other day I asked Toby why children like robots so much. "Because they work for you," he said. What I didn't have the heart to tell him is, someday he might work for them - or, I fear, might not work at all, because of them. It is not just Elon Musk, Bill Gates and Stephen Hawking who are freaking out about the rise of invincible machines. Yes, robots have the potential to outsmart us and destroy the human race. But first, artificial intelligence could make countless professions obsolete by the time my sons reach their 20s."

"The Google Home is a $130 (£130 or AU$199) smart home speaker that showcases the artificially intelligent, voice-activated Google Assistant. It lets you set timers, control lights and thermostats, play trivia games, watch YouTube videos and more -- all with simple voice commands. Google hasn't released a full list of commands for Home, so we had to do our best to assemble and test everything we could think of. If we're missing anything, make sure to leave it in a comment so we can update the list as we go. Here's the (almost) complete list of voice commands for the Google Home so far."

"Regardless of whether you think every infant needs an iPad, I think we can all agree that technology has changed education for the better. Today's learners now enjoy easier, more efficient access to information; opportunities for extended and mobile learning; the ability to give and receive immediate feedback; and greater motivation to learn and engage. We now have programs and platforms that can transform learners into globally active citizens, opening up countless avenues for communication and impact. Thousands of educational apps have been designed to enhance interest and participation. Course management systems and learning analytics have streamlined the education process and allowed for quality online delivery. But if we had to pick the top ten, most influential ways technology has transformed education, what would the list look like? The following things have been identified by educational researchers and teachers alike as the most powerful uses of technology for learning. Take a look. 1. Critical Thinking In Meaningful Learning With Technology, David H. Jonassen and his co-authors argue that students do not learn from teachers or from technologies. Rather, students learn from thinking-thinking about what they are doing or what they did, thinking about what they believe, thinking about what others have done and believe, thinking about the thinking processes they use-just thinking and reasoning. Thinking mediates learning. Learning results from thinking. So what kinds of thinking are fostered when learning with technologies? Analogical If you distill cognitive psychology into a single principle, it would be to use analogies to convey and understand new ideas. That is, understanding a new idea is best accomplished by comparing and contrasting it to an idea that is already understood. In an analogy, the properties or attributes of one idea (the analogue) are mapped or transferred to another (the source or target). Single analogies are also known as sy

"Our RISE community has been on fire, exploring the breathtaking possibilities of ChatGPT. The uses of ChatGPT are simply endless and intoxicating It's still early days. Companies are trying to figure out the legal and ethical implications of a content world suddenly turned on its head by artificial intelligence. And yet … applying powerful AI to everyday tasks is awesome. So I challenged my RISE community friends … let's have some fun and come up with some non-obvious uses and share them with the world. Here we go."

"On January 13, 2023, the CTL offered a session on the topic of Artificial Intelligence (AI) in teaching & learning. The slides and key resources are available below. A recording of the session will be added to this post once it's available."

"Artificial Intelligence is the trending edtech topic of the year so far. If you haven't been asked about it yet, you will be soon. If you haven't tried an AI writing tool yet, you should try it because your students are probably trying it."

"Up until a week ago, I'd never heard of ChatGPT. In fact, I hadn't realised that AI chat systems were even a 'thing' and was quite surprised that the technology existed. For those of you who haven't heard of it yet, ChatGPT, powered by artificial intelligence, is a chatbot which takes human-computer interaction to a whole new level. Siri and Alexa pale in comparison. It is an online system which responds to human input in an incredibly sophisticated way. You type in a request and ChatGPT produces a response within seconds."

"Teaching Kids What AI Is (and Isn't)"