Scientists developed a new method to give drones the skills to follow hiking trails in search of lost hikers.
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CRISPR may be revolutionary; however, it’s not nearly as easy as it’s made out to be. But thanks to this company, individuals can alter the source code of life without ever needing to enter a lab.
A new genome editing technique is allowing us to alter DNA—the source code of life—with unprecedented precision. It is known as CRISPR, and with it, we can target and change a gene from any cell of any species without interfering with any other genes. If that’s not enough, we are able to edit these genes at just a fraction of the cost of previous methods.
So not only is this technique remarkably precise, it’s also remarkably cheap.
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Futurist Ray Kurzweil talks with StarTalk Radio’s Neil DeGrasse Tyson about the expansion of the human brain that he predicts will happen in the 2030’s.
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Google has smartened up several of its products with a type of artificial intelligence called deep learning, which involves training neural networks on lots of data and then having them make predictions about new data. Google Maps, Google Photos, and Gmail, for example, have been enhanced with this type of technology. The next service that could see gains is Google Translate.
Well, let me back up. Part of Google Translate actually already uses deep learning. That would be the instant visual translations you can get on a mobile device when you hold up your smartphone camera to the words you want to translate. But if you use Google Translate to just translate text, you know that the service isn’t always 100 percent accurate.
In an interview at the Structure Data conference in San Francisco today, Jeff Dean, a Google senior fellow who worked on some of Google’s core search and advertising technology and is now the head of the Google Brain team that works on deep learning, said that his team has been working with Google’s translation team to scale out experiments with translation based on deep learning. Specifically, the work is based on the technology depicted in a 2014 paper entitled “Sequence to Sequence Learning with Neural Networks.”
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Microsoft Research reveals more details about a telepresence technology they are developing that could fundamentally improve communication today.
In this day and age, it almost comes as no surprise when new technology emerges that’s poised to change how people live and work. Take, for instance, Microsoft Research’s Room2Room project.
In a previous post, we talked about how the technology is going to use projected augmented reality to give users a more interactive and immersive approach to video conferencing between remote participants. Now we’re starting to get some of the particulars about the new project, and a clearer picture is starting to emerge about how it will work.
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