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"The word "deepfakes" refers to using deep learning, a type of machine learning, to add anyone's face and voice to video. It has been mostly found on the internet's dark corners, where some people have used it to insert ex-girlfriends and celebrities into pornography. But BuzzFeed provided a glimpse of a possible future in April when it created a video that supposedly showed Obama mocking Trump, but in reality, Obama's face was superimposed onto footage of Hollywood filmmaker Jordan Peele using deepfake technology. Deepfakes could pose a greater threat than the fake news and Photoshopped memes that littered the 2016 presidential election because they can be hard to spot and because people are -- for now -- inclined to believe that video is real. But it's not just about individual videos that will spread misinformation: it's also the possibility that videos like these will convince people that they simply can't trust anything they read, hear or see unless it supports the opinions they already hold. Experts say fake videos that will be all but impossible to identify as such are as little as 12 months away."

"Junior Pi Projects: Hacks & makes to inspire your kids NERF Gun Robot: FRED-209: You have 20 seconds to comply with this incredible toy gun toting smart robot Make a MIDI Sound Box: Build your own sound machine in this month's Pi Bakery Control LEGO MindStorms: How to use LEGO robotics kits with Raspberry Pi MonsterBorg, PiJuice and OLED Bonnet reviewed Need more details? View the contents for info on every article."

"Just as many other technological advancements, Artificial Intelligence came to our lives from the pages of fairy tales and fiction books (think of the Tinman from The Wizard of Oz or Maria from Metropolis). People dreamt about machines able to solve problems and release some of the fast-compounding pressure of the 21st century. Less than 70 years from the day when the very term Artificial Intelligence came into existence, it's become an integral part of the most demanding and fast-paced industries. Forward-thinking executive managers and business owners actively explore new AI use in finance and other areas to get a competitive edge on the market. More often than not, we don't realize how much Artificial Intelligence is involved in our day-to-day life. "

"Psssst. Want to make your kid think you're a sorcerer? I've got a trick. First, you will need a magical machine called a printer. Then when the child is near your computer, ask, "Hey, what would you like to color right now? It can be anything. Your favorite character? Spain during the Cold War? A hot dog?" Your kid might respond with skepticism, but tell him to trust you. Then do a Google image search of his selection, and under Tools, click "Type," and select "Line drawing." Choose a high-resolution image, print it out, and hand it to your child with some crayons."

"Every year since 2001 we've picked what we call the 10 Breakthrough Technologies. People often ask, what exactly do you mean by "breakthrough"? It's a reasonable question-some of our picks haven't yet reached widespread use, while others may be on the cusp of becoming commercially available. What we're really looking for is a technology, or perhaps even a collection of technologies, that will have a profound effect on our lives. For this year, a new technique in artificial intelligence called GANs is giving machines imagination; artificial embryos, despite some thorny ethical constraints, are redefining how life can be created and are opening a research window into the early moments of a human life; and a pilot plant in the heart of Texas's petrochemical industry is attempting to create completely clean power from natural gas-probably a major energy source for the foreseeable future. These and the rest of our list will be worth keeping an eye on. -The Editors"

"Microsoft's Hacking STEM Library is divided into activities that take multiple days to complete and activities that can be completed in one day. All of the activities in the Hacking STEM Library include detailed directions, materials lists including places to acquire materials, and lesson objectives. The homemade wave machine project is an example of a one-day project. This lesson on harnessing electricity to communicate is an example of a multiple day project."

"In this tutorial, you will learn how to make an Art Bot which is also known as a Scribblebot or Scribble Machine.  These contraptions use a vibrating or offset motor to move around in unpredictable ways. Making an Art Bot is a fun way to learn the basics of creating a simple circuit with a switch.  The best part of making these bots is that you can use repurposed and recycled materials. This project is also a great way to incorporate more Art into your STEM education program.  You can use markers, crayons, chalk and more to create one of a kind artwork."

"As society anticipates a future filled with artificial intelligence, experts are theorizing ways that we humans can outperform the computers that are being programmed to perfection. Some believe educators should focus on building soft skills like empathy and interpersonal communication so humans and robots can complement one another. However, other education thought leaders are ready to beat computers at their own game by teaching people to think like intelligent machines. Why do so many of our kids struggle with math problem-solving? Because they don't know where to start; they don't know how to decompose the problem. Heidi Williams The term for getting humans to think like computers has been coined Computational Thinking, and the idea is taking off. Author Heidi Williams can attest to its popularity after her book on the subject, No Fear Coding Computational Thinking Across the K-5 Curriculum, sold out at the International Society for Technology in Education conference. Inside the book, Williams breaks down computational thinking standards into four parts: 1. Formulating problems through data analysis, abstract models and algorithmic thinking; 2. Collecting, analyzing and presenting data; 3. Breaking down problems into parts and extracting information to understand the system in place; and 4. Using algorithmic thinking to develop sequences and testing automated solutions."

"Have you ever thought, "If I could just turn this into a GAME, my kid would learn it no problem." Kids are like that, aren't they? Ask them to clean their rooms and they'll fall on the floor at the injustice of it all. Turn it into a game and they'll be transformed into little cleaning machines. (Sorry, this game board will not help your kids clean their rooms.) I've been wanting to make a generic, re-usable, board game for awhile now. I have definite plans for what I want to do with it. (Stay tuned for some upcoming math games.) However, if you have your own ideas, this free, printable, hand drawn, game board will work just as well."

"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: "

"In India, 41km of highway road was constructed every day for the year of 2016. In the Indian government budget, it estimated the cost just for 2016 to be 19 billion USD. It would be financing any shortfall through tax-free government bonds. Computational thinking would have played an instrumental role in deciding on where the road would go through with taking into account the key hubs and may have saved the government millions, if not billions of dollars. Jeanette Wing (2012) defines computational thinking as the thought process involved in formulating a problem and expressing its solution in a way that a computer-human or machine can effectively carry out. It is the process of abstraction by; choosing the right abstractions, operating in terms of multiple layers of abstraction simulations and defining the relationships between layers guided by efficiency, correctness, and flexibility. Computational thinking can best be related to as writing software or instructionals. Every action or non-action is accounted for in the way computational artifacts are constructed. Computational thinking is great for working out a solution but there is an argument that computational thinking does not put enough emphasis on the problem itself. Design thinking, on the other hand, attempts to understand the intent or problem before looking at any solution - computational or otherwise. Design thinking attempts to identify why the problem exists in the first place before solving it. IDEO defines design thinking as the application of empathy and experimentation to arrive at innovation solutions through making decisions based on stakeholder input and evidence based research. Using the Indian roading example, a design thinker would ask, what is the intent of building the roads in the first place?"

"Dating from 1991, the Python programming language was considered a gap-filler, a way to write scripts that "automate the boring stuff" (as one popular book on learning Python put it) or to rapidly prototype applications that will be implemented in other languages. However, over the past few years, Python has emerged as a first-class citizen in modern software development, infrastructure management, and data analysis. It is no longer a back-room utility language, but a major force in web application creation and systems management, and a key driver of the explosion in big data analytics and machine intelligence."

"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?"

"Losing your job to robots is no longer a sci-fi fantasy. Some estimates say, robots may take over more than five million jobs across 15 developed countries. Machines could account for more than half the workforce in places like Cambodia and Indonesia, particularly in the garment industry. While such information has led many people to seek out higher-tech skills, others have said we need a stronger emphasis on trade skills to combat the high competition in tech fields. In one 2016 survey, 60 percent of respondents wanted more emphasis on Shop classes in high schools, while a 2015 Gallup poll found that 90 percent of parents want computer sciences emphasized in schools. The good news. There are some skills robots can't embody, and if you have them, there's no need to worry about losing your job due to robotic advancements. Better yet, many of them are transferrable, meaning they can help you advance your career, even if you need to change industries. Here are eight skills that can keep your job from being handed off to a robot."

"Visualize data instantly with machine learning in Google Sheets"

"If you'd asked farmers a few hundred years ago what skills their kids would need to thrive, it wouldn't have taken long to answer. They'd need to know how to milk a cow or plant a field. General skills for a single profession that only changed slowly-and this is how it was for most humans through history. But in the last few centuries? Not so much. Each generation, and even within generations, we see some jobs largely disappear, while other ones pop up. Machines have automated much of manufacturing, for example, and they'll automate even more soon. But as manufacturing jobs decline, they've been replaced by other once unimaginable professions like bloggers, coders, dog walkers, or pro gamers. In a world where these labor cycles are accelerating, the question is: What skills do we teach the next generation so they can keep pace?"