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Jul 26, 2017

Defense department pours $65 million into making CRISPR safer

Posted by in categories: biotech/medical, genetics

Berkeley scientists to develop safer and better CRISPR tools and apply them to medicine and mosquito gene drives.

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Jul 26, 2017

Second version of HoloLens HPU will incorporate AI coprocessor for implementing DNNs

Posted by in categories: augmented reality, robotics/AI

By Marc Pollefeys, Director of Science, HoloLens

It is not an exaggeration to say that deep learning has taken the world of computer vision, and many other recognition tasks, by storm. Many of the most difficult recognition problems have seen gains over the past few years that are astonishing.

Continue reading “Second version of HoloLens HPU will incorporate AI coprocessor for implementing DNNs” »

Jul 26, 2017

New Study Suggests Previous Concerns about CRISPR Safety are Questionable

Posted by in categories: bioengineering, biotech/medical, food, genetics, life extension

Gene editing aims to make precise changes to the target DNA whilst avoiding altering other parts of the DNA. The objective of this is to remove undesirable genetic traits and introduce desirable changes in both plants and animals. For example, it could be used to make crops more drought resistant, prevent or cure inherited genetic disorders or even treat age-related diseases.

As some of you may recall, back in May a study was published which claimed that the groundbreaking gene editing technique CRISPR caused thousands of off target and potentially dangerous mutations[1]. The authors of the paper called for regulators to investigate the safety of the technique, a move that could potentially set back research years if not decades.

This publication has been widely blasted by the research community due to serious questions about the study design being raised. One of the problems with this original paper was that it involved only three mice, this is an extremely poor number to make the kind of conclusions the paper did. There have been calls for the paper to be withdrawn and critical responses to the study.

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Jul 26, 2017

MIT’s Food Computer Is Changing The Future Of How We Eat

Posted by in categories: computing, food

Growing your own food may soon be as simple as pressing a button.

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Jul 26, 2017

Work It! How Reebok, Adidas, and Y-3 Will Dress Future Space Explorers

Posted by in categories: futurism, space

Boeing’s Starliner and Virgin Galactic don’t just want you to visit space–they want you to do it in style.

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Jul 26, 2017

British billionaire Jim Mellon and high-profile partners roll the dice on an anti-aging upstart

Posted by in categories: biotech/medical, life extension

When British billionaire Jim Mellon wants to map out an investment strategy, he likes to write a book first. Out of that process came his most recent work — Juvenescence: Investing in the Age of Longevity. Now he and some close associates with some of the best connections in biotech are using the book as inspiration to launch a new company — also named Juvenescence — with plans to make a big splash in anti-aging research.

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Jul 26, 2017

Google’s machine learning algorithm gets human help in quest for fusion power

Posted by in categories: information science, nuclear energy, robotics/AI

Hot on the heels of last month’s nuclear fusion breakthrough comes the first results from a multi-year partnership between Google and Tri Alpha Energy, the world’s largest private fusion company. The two organizations joined forces in 2014 in the hopes that Google’s machine learning algorithms could advance plasma research and bring us closer to the dream of fusion power.

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Jul 26, 2017

Inside Andy Rubin’s Quest to Create an OS for Everything

Posted by in category: robotics/AI

The Android mastermind is on a mission to connect our devices into a single consciousness. Ambitious? Absolutely. Possible? Maybe.

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Jul 25, 2017

Google enters race for nuclear fusion technology

Posted by in categories: computing, information science, nuclear energy

The tech giant and a leading US fusion company have developed a new computer algorithm that has significantly speeded up progress towards the goal of unlimited energy.

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Jul 25, 2017

This Map Predicts Who Will Die Next on ‘Game of Thrones’

Posted by in categories: entertainment, robotics/AI

A computer scientist uses a machine-learning program to predict who will die next on ‘Game of Thrones.’

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