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on (#38JA7)
Researchers at national labs and companies are exploring ways to make concentrated solar power more efficient and affordable, all of which require turning up the heat.
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MIT Technology Review
Link | https://www.technologyreview.com/ |
Feed | https://www.technologyreview.com/topnews.rss?from=feedstr |
Updated | 2025-04-04 02:02 |
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on (#38F1Q)
Chip startups see AI as a once-in-a-lifetime chance to build big businesses. Many won’t make it.
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on (#383XH)
A new kind of AI system could create personalized clothing based on a shopper’s taste.
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on (#380JR)
A database of DNA and health measurements is offering new clues into everything from who gets diabetes to who likes a pint of beer.
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on (#37YAQ)
Kenan Sahin made $1.5 billion on his first company. Now he’s using his resources and experience to advance lithium-ion cathodes, propel electric vehicles, and help other battery startups succeed.
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on (#37Y68)
Kenan Sahin made $1.5 billion on his first company. Now he’s using his resources and experience to advance lithium-ion cathodes, propel electric vehicles, and help other battery startups succeed.
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on (#37Y6A)
AI will blur the line between online and offline retail.
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on (#37STP)
AI will blur the line between online and offline retail.
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on (#37J2K)
The LinkedIn cofounder and venture capitalist explains how he’s trying to combat sexual harassment and economic inequality in the tech industry and beyond.
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on (#37ENN)
Scientists fear a crackdown on embryo research if President Trump pays attention to scientific advances.
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on (#37DT6)
Yasmin Green, head of R&D for Alphabet’s Jigsaw, is using technology in hopes of making the world a better place. It’s not easy.
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on (#37DQ5)
An AI system that started as a way to fight parking tickets will, by the end of this year, allow you to sue anyone.
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on (#37AK0)
AI is coming for jobs, but one of the field’s masters has an idea that he thinks can help.
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on (#377WP)
As we automate more and more decisions, being able to understand how an AI thinks is increasingly important.
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on (#375CB)
Salesforce will start selling its online learning platform, which has helped its own employees change roles and get promotions.
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on (#36Y7X)
The cryptocurrency’s price is soaring, but the fervor is about more than just an investment opportunity.
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on (#36S13)
After a disappointing clinical trial in 2015, scientists are trying anew to mend failing hearts with a gene.
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on (#36QEC)
Will you be among the first to pick your kids’ IQ? As machine learning unlocks predictions from DNA databases, scientists say parents could have choices never before possible.
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on (#36JA4)
Augmented reality may eventually help you work. But a few days with the Meta 2 headset suggest it has a way to go.
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on (#367QZ)
Can a smartphone-enabled ultrasound machine become medicine’s next stethoscope?
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on (#360CP)
Quantum computers will soon surpass conventional ones, but it will take time to make the machines useful.
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on (#36WCH)
With an energy-efficient approach to rural connectivity, Vanu Bose aims to bring cellular coverage to the 1.1 billion people who lack it.
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on (#35X1J)
Technology outsourcing has been India’s only reliable job creator in the past 30 years. Now artificial intelligence threatens to wipe out those gains.
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on (#36EZ3)
MIT computer scientist Daniela Rus is dreaming up our robot-filled future.
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on (#363P7)
As robots become smart enough to detect our feelings and respond appropriately, they could have something like emotions of their own. But that won’t necessarily make them more like humans.
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on (#35SVV)
A new MIT study finds that larger cities are more resilient to technological unemployment.
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on (#35J8G)
An emerging trend in artificial intelligence is to get computers to detect how we’re feeling and respond accordingly. They might even help us develop more compassion for one another.
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on (#35EZV)
Tristan Harris thinks big tech is taking advantage of us all. Can its power be used for good?
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on (#35BQR)
Science and marketing clash in the “jungle†of direct-to-consumer DNA apps.
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on (#358BS)
Automating machine learning will make the technology more accessible to non–AI experts.
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on (#3556E)
Energy experts believe that blockchain technology can solve a maze of red tape and data management problems.
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on (#34SZK)
AI is only loosely modeled on the brain. So what if you wanted to do it right? You’d need to do what has been impossible until now: map what actually happens in neurons and nerve fibers.
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on (#34PQH)
Next up, predicting human speech with a brain-computer interface.
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on (#34KEZ)
The West shouldn’t fear China’s artificial-intelligence revolution. It should copy it.
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on (#34GFQ)
At Stanford and Google, Fei-Fei Li is leading the development of artificial intelligence—and working to diversify the field.
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on (#34BT2)
Can genetic modification appeal to consumers? A new apple will test the market.
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on (#348J9)
Mistaken extrapolations, limited imagination, and other common mistakes that distract us from thinking more productively about the future.
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on (#3458E)
Hackers are using old tricks and new cryptocurrencies to turn stolen computing power into digital coins.
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on (#341S1)
At least 15 community colleges offer them, but it’s not clear how many students parlay their new skills into jobs.
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on (#33ZT7)
The goal is to use AI to keep you healthy. But are computers really smart enough to make sense of all that data?
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on (#33YJ1)
An audacious Chinese entrepreneur wants to test your body for everything. But are computers really smart enough to make sense of all that data?
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on (#33V9D)
Soon you may be able to let your kid watch a video on your phone while you look at Facebook.
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on (#33JQT)
Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old. Keeping up the pace of progress will require confronting AI’s serious limitations.
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on (#33H70)
Maryland and New York still restrict who can order genetic tests and how companies can market them.
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on (#33BJZ)
Stewart Butterfield talks about how machine learning can help your work productivity.
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on (#334QD)
Bitcoin-like money may emerge in countries where cash is in decline or financial networks need updating.
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on (#33232)
Scientists are investigating a range of different delivery mechanisms for the gene-editing tool, from topical gels to skin grafts.
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on (#32W8C)
Scientists are hopeful they can inject the gene-editing technology directly into the ear to stop hereditary deafness.
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on (#32RT6)
A startup called iSee thinks a new approach to AI will make self-driving cars better at dealing with unexpected situations.
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on (#33852)
The sensor makes it possible to track the movements and actions of workers inside a factory or warehouse.
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