NASA has big hopes for virtual reality technology. The agency is developing a suite of virtual reality environments at Goddard Spaceflight Center in Maryland, that could be used for everything from geological research to repairing orbiting satellites. One displays fiery ejections from the Sun. In another, scientists can watch magnetic fields pulse around the earth.
The goal, he says, is to scale up the use of virtual reality technology in NASA labs, and go beyond public applications like the Mars immersion program that allows users to explore the Martian surface.
For example, NASA volcanologist Brent Garry is hoping that virtual visits to a rock formation in Idaho can help him plan research trips in real life. That same VR environment also allows users to measure distances and leave notes in the landscape.
Another application in development could allow technicians to repair satellites. People on earth could watch in real-time as they manipulate actual tools in space. If the repairs are successful, satellites that would have died when their batteries did could keep working instead. And Grubb has stumbled upon a new talent source to help develop the pilot programs: young students, some of them still in high school.
One of them was a high school senior Jackson Ames. In addition to taking some computer science classes in school, Ames plays video games.
Onward is a war simulation game. You play with a VR headset covering your eyes and a controller in each hand. Young people also bring certain ease with learning new technologies. Stewy Slocum, a year-old college freshman who worked on the lava tube simulation, says video games got him interested in virtual reality programming too. Still, he quickly learned how to use the VR system he was working with. That is often not the case for some more experienced researchers. Am I going to trip on something?
Once people navigate the initial learning curve, exploring virtual reality can go from alarming to fun pretty quickly. The growing popularity of virtual reality systems like the HTC Vibe and Oculus Rift for video games and education has made virtual reality technology more mainstream, but that can actually act as an obstacle to using VR technology for research, Grubb says.
How can this be work? And although we may not be aware of it, we are already using it in our Facebook news feeds, when we talk to Siri on our iPhones or ask our Alexa-enabled speakers to play a track.
How does it do this? Many intelligent machines and systems use algorithmic techniques loosely based on the human brain. These neural networks can learn to recognize patterns, translate languages, do simple logical reasoning, create images and even come up with ideas. If, for example, you want to teach a computer to tell the difference between a car and a dog, instead of programming it to carry out the task, you can train it to recognize objects in images so that it learns for itself.
Deep learning is a type of machine learning that structures neural networks in multiple processing layers. This helps a computer to identify what is in an image or learn to recognize speech and text. Within this array of numbers, local motifs, such as the edge of an object, are easily detectable in the first layer.
The depth of the network — with its multiple layers — is what allows it to recognize complex patterns in this hierarchical fashion. Deep learning is helping to push forward research in fields including physics, engineering, biology and medicine. It is also at the heart of the development of autonomous systems such as self-driving vehicles. Despite growing anxiety over automation eliminating jobs, LeCun and Candela believe that AI will create new roles for humans in manufacturing, training, sales and maintenance and management of intelligent robots.
Our intelligence is what makes us human, and AI is an extension of that quality. A computer can tell the difference between a car and a dog by training it to recognise objects in images so that it learns for itself.
AI machines use algorithmic techniques similar to a. To a computer, an image is an. A student thanks to human ingenuity is given the chance to study a type of evolution. The process and products of peoples creativity, along with the the impact it has on peoples lives and society.
Chances are given to students to discover their creativity and change or appreciate their way of life. Human ingenuity emphasis how people start change whether it be good or bad, without measuring the effect if may have. It also teaches or shows the importance the researching the develpoments made by the human race, made throught space, time, and cultures.
And lastly the how important it is to reflect and actually think about wat your doing. Can we address 21st century learners with these structures. This had been the focus for a recent discussion in England and came up with some points such as:.
Teaching and assessing in multiple ways, disclipined minds, synthesising minds, creating mind, respectful mind, ethical mind…. What is the IB going to do about that? How relevant is the written exam now? One of the emphases here was on rigorous learning in the discipline and interdisciplinary synergy as well as focus on real world projects and issues. Fill in your details below or click an icon to log in:.
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