on (#492DG)
Are tired-out cells what make people old? A new generation of drugs is designed to wipe them out.
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MIT Technology Review
Link | https://www.technologyreview.com/ |
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Updated | 2024-05-01 13:45 |
on (#491BC)
After decades of promises, personal air vehicles are finally getting close to commercial reality—but you still probably won’t own one
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on (#48WZT)
The genetic genie is out of the bottle. And it’s not going back.
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on (#48Q76)
Five things you need to know about 5G, the next generation of wireless tech that’s fueling tensions between the US and China.
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on (#48NSY)
The proposal is ambitious, wide-ranging, and somewhat pragmatic about technology’s role. But whether it will ever see the light of day is unclear.
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on (#48MNT)
The university wants to learn what ties its faculty members had to He Jiankui, the researcher who created gene-edited humans.
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on (#48GED)
Forget Go or StarCraft—guessing the phrase behind a drawing will require machines to gain some understanding of the way concepts fit together in the real world.
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on (#48DGB)
Bias can creep in at many stages of the deep-learning process, and the standard practices in computer science aren’t designed to detect it.
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on (#4881J)
Cryptocurrency, biohacking, and the fantastic plan for transgenic humans.
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on (#485X7)
Grin, a strange new coin that runs on a technology called MimbleWimble, has captured the blockchain world’s imagination.
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on (#483S7)
Industrial machines could be trained to be less clumsy if we gave them a sense of touch and a better sense of real-world physics.
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on (#481FA)
Three new studies propose ways to make algorithms better at identifying people in different demographic groups. But without regulation, that won’t curb the technology’s potential for abuse.
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on (#47R09)
Our study of 25 years of artificial-intelligence research suggests the era of deep learning is coming to an end.
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on (#47NED)
Swedish startup Mapillary is compiling a huge database of roadside objects such as signs and markings to help driverless vehicles get around.
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on (#47GHY)
The world’s largest experiment in using blockchain-based networks to pay for things is about to begin.
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on (#47EE2)
Advocates hope the proposal will inspire voters, but that’s no reason it has to ignore the latest research.
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on (#478M7)
Algorithms are best at pursuing a single mathematical objective—but humans often want multiple incompatible things.
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on (#474EC)
Nvidia’s new robotics lab will see if robots can learn to fetch the ketchup, load the dishwasher, and—eventually—make a cake.
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on (#471F9)
New research finds we’d need to immediately stop building fossil-fuel-burning vehicles, planes, and factories.
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on (#46YSC)
Mainstream online legal services are getting serious about using crypto to automate bits of what they do—and lower the bar to entry for us all.
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on (#46RRB)
Generative adversarial networks are not just good for causing mischief. They can also show us how AI algorithms “think.â€
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on (#46KR4)
Cities sometimes fail to make sure the technologies they adopt are accessible to everyone. Activists and startups are working to change that.
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on (#46GEE)
Global companies trying to tap into Tel Aviv’s unique innovation ecosystem are threatening to destroy the very thing they came for.
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on (#46EYY)
Last year a string of controversies revealed a darker (and dumber) side to artificial intelligence.
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on (#4675N)
Radar that can spot stealth aircraft and other quantum innovations could give their militaries a strategic edge.
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on (#4667T)
From moon missions to crewed launches, it’s going to be an eventful year for space exploration. Strap yourself in.
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on (#4648M)
After the Great Crypto Bull Run of 2017 and the monumental crash of 2018, blockchain technology won’t make as much noise in 2019. But it will become more useful.
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on (#460VP)
2018 was a no good, very bad year for Silicon Valley. Here’s some of the things tech giants should commit to do next year to avoid a repeat performance.
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on (#45XP3)
Gene information on millions of people is revolutionizing how we predict disease, catch criminals, and find new drugs.
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on (#45SKX)
From gene-edited babies to guaranteed-fatal brain uploads, it was a bumper year for technology misfires and misuses.
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on (#45QZT)
A year ago, Bitcoin and its brethren were headed to the moon. These days they’re much more grounded.
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on (#45FN7)
Every one of us will have a moment when global warming gets personal.
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on (#45MW7)
Three generations of personal and political history show the tensions between the Communist Party’s need for knowledge and its need for ideological control.
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on (#45K5T)
An interview with Yasheng Huang, MIT professor and expert on entrepreneurship in China.
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on (#45DEH)
And in the next few years it plans to launch the world’s biggest space telescope, the world’s heaviest rocket, and a space station to rival the ISS.
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on (#45VP6)
It used to be that while Google wanted China, China really needed Google. Not any more.
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on (#45QQN)
Payment apps like Alipay and WeChat transformed daily life in China. The West won’t see a similar payments revolution—and that might even be a good thing.
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on (#458DD)
Shenzhen flooded the world with cheap gadgets. Can it now become what Silicon Valley never did—a global hub of innovation, entrepreneurship, and manufacturing?
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on (#457X6)
The next generation of wireless technology promises much faster speeds while using less power. No wonder Beijing is throwing everything at getting there first.
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on (#455VB)
China was no good at cars. Then EVs came along.
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on (#455DY)
24M is reducing manufacturing costs by stripping out extraneous materials – and just got $22 million to begin building its first commercial factory.
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on (#4505T)
The country has struggled for decades to build a competitive semiconductor industry. In making specialized AI chips, though, it’s got a head start.
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on (#44XH4)
The blockchain system has daunting technical problems to fix. But first, its disciples need to figure out how to govern themselves.
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on (#44V0P)
Once nuclear’s strongest booster, China is growing wary about its cost and safety.
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on (#44RK0)
In 2015, an unknown Chinese scientist edited the DNA of human embryos. It was a step on an inexorable path to designer babies.
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on (#44HSE)
7 questions for Andrew Yang, the 2020 US presidential candidate pushing for basic income.
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on (#44GG8)
The biggest fear is that China could exploit the telecom giant’s gear to wreak havoc in a crisis.
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on (#44F3M)
The research institute AI Now has identified facial recognition as a key challenge for society and policymakers—but is it too late?
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on (#44C9W)
The coming rise in private spaceflight is prompting growth in space companies that give citizen astronauts the know-how they need to fly.
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on (#44BDP)
Some US experts think it could take at least 20 years to get quantum-proof encryption widely deployed.
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