Powerful gene-editing tools have the potential to heal—or to harm. Now there’s a race to develop the antidote to the next bioweapon.
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Researchers in Australia are on the verge of discovering a universal flu vaccine — one which would be effective against all strains of the virus. When they do, we won’t have to take a new flu shot every year anymore. We’ll just get this one shot, and never more. It’s a finding that is being heralded as an “extraordinary breakthrough.” It could even end the flu and influenza epidemic once and for all.
The Epidemic
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Blue Origin, the space company of Jeff Bezos, completed a record breaking launch of its New Shepard rocket on Thursday.
Lifting off from Blue Origin’s facility in West Texas, the mission was the first time the company launched and landed one of its rockets five times. Additionally, the rocket sent a company record 38 research and development experiments to the edge of space.
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The Best Code is No Code At All
Posted in futurism
Eric Kilhstrom (Director of Aging Analytics Agency and former Interim Director of the £98 million Healthy Ageing Industrial Strategy Challenge Fund) is interviewed about the agency’s recent “Longevity Industry in Israel Landscape Overview 2019” report.
New report shows that Israel’s academic and business ecosystem is the optimal base for an internationally recognized longevity industry hub.
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This paper published in Nature on 26th February 2015, describes a DeepRL system which combines Deep Neural Networks with Reinforcement Learning at scale for the first time, and is able to master a diverse range of Atari 2600 games to superhuman level with only the raw pixels and score as inputs.
For artificial agents to be considered truly intelligent they should excel at a wide variety of tasks that are considered challenging for humans. Until this point, it had only been possible to create individual algorithms capable of mastering a single specific domain. With our algorithm, we leveraged recent breakthroughs in training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN), was able to surpass the overall performance of a professional human reference player and all previous agents across a diverse range of 49 game scenarios.
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