Click above to view full image! Any book lover can tell you: diving into a great novel is an immersive experience that can make your brain come alive with imagery and emotions and even turn on your senses.
The 7 Most Powerful Ideas In Learning Available Right Now (RT @Gabriella_Rowe: #Connectivism and 6 other powerful ideas in #education right now via @TeachThought http://t.co/gIe4Pi2cUt #edchat #edte…)...
What will the next fifty years bring in the world of social media, mobile, robotics and more? Our fifty year timeline shows you just what could be in store
Technology is growing at such an exponential rate, it can be difficult to visualise what the next five years will look like, let alone fifty. We wanted to see just how the future is going to shape up for us. So we compiled all the best predictions for digital technology, mobile, social media, and big data over the next fifty years into a timeline so you can see exactly what’s in store.
The timeline covers expected growth in key markets including spend on digital and mobile, as well as big data so we can start to see exactly where this emerging industry will head. Data for the timeline has been gathered from a wide range of sources, in specialist areas to give as wide a view as possible of what’s coming up....
Why not keep paper and evolve screen-based reading into something else entirely? Screens obviously offer readers experiences that paper cannot. Scrolling may not be the ideal way to navigate a text as long and dense as Moby Dick, but the New York Times, Washington Post, ESPN and other media outlets have created beautiful, highly visual articles that depend entirely on scrolling and could not appear in print in the same way.
It’s all about engagement. I’ve heard things like a child’s attention span, in minutes, is equal to their age in years. That’s so not true. If children are engaged in something, they’ll spend hours on it. We have a 6-year-old grandchild who will spend hours working on Legos or Tinkertoys because she’s got something in her mind that she wants to build, and she’ll do it. If children aren’t paying attention, it’s not because of a decreased attention span—it’s because they aren’t given tasks that honor their dominant ways of learning.
It doesn't take a Watson to realize that even the world's best supercomputers are staggeringly inefficient and energy-intensive machines.
Our brains have upwards of 86 billion neurons, connected by synapses that not only complete myriad logic circuits; they continuously adapt to stimuli, strengthening some connections while weakening others. We call that process learning, and it enables the kind of rapid, highly efficient computational processes that put Siri and Blue Gene to shame.
Materials scientists at the Harvard School of Engineering and Applied Sciences (SEAS) have now created a new type of transistor that mimics the behavior of a synapse. The novel device simultaneously modulates the flow of information in a circuit and physically adapts to changing signals.
Exploiting unusual properties in modern materials, the synaptic transistor could mark the beginning of a new kind of artificial intelligence: one embedded not in smart algorithms but in the very architecture of a computer.
“There’s extraordinary interest in building energy-efficient electronics these days,” says principal investigator Shriram Ramanathan, associate professor of materials science at Harvard SEAS.
“Historically, people have been focused on speed, but with speed comes the penalty of power dissipation. With electronics becoming more and more powerful and ubiquitous, you could have a huge impact by cutting down the amount of energy they consume.”
The human mind, for all its phenomenal computing power, runs on roughly 20 Watts of energy (less than a household light bulb), so it offers a natural model for engineers.
“The transistor we’ve demonstrated is really an analog to the synapse in our brains,” says co-lead author Jian Shi, a postdoctoral fellow at SEAS. “Each time a neuron initiates an action and another neuron reacts, the synapse between them increases the strength of its connection. And the faster the neurons spike each time, the stronger the synaptic connection. Essentially, it memorizes the action between the neurons.”
Bill Cosby writes in his abstract that “living in an age of accelerated technology, there can be little reason why schools should hesitate in applying that same technology to create a more diversified an open learning environment. (Cosby, 1976).”