Mostrando resultados por Editor "MIT Technology Review" en Todas las categorías

Despite their ubiquity, smartphones are still not very helpful at getting you information based on what you're already doing. For instance, if you get an e-mail from a friend asking if you want to check out a new restaurant in town, you have to leave the app behind and go conduct a Web search to learn more.

When Milton Wright III got his third cancer diagnosis, he cried until he laughed. He was 20 and had survived leukemia twice before, first when he was eight and again as a teen. Each time he’d suffered through years of punishing chemotherapy.

In this issue, you’ll learn how Amazon’s massive investments in technology are shaping the future for retailers everywhere. You’ll hear why major Internet companies are spending millions in order to deliver just about anything within a few hours. You’ll learn why Twitter may be making major interface changes. You’ll hear how a startup is offering a real-time way to track how economies are doing. You’ll learn how a new technology can read people’s feelings and predict the statistical likelihood of their later behavior.

In this issue, you’ll hear how Google+ differs from Facebook. You’ll learn about Facebook’s new video-calling service. You'll hear how divorce lawyers are using social networks to gather evidence for legal cases. You'll learn how one company has found a way to collect data on what people are actually saying about specific TV shows.

In this issue, you’ll learn how new devices that monitor activity, sleep, diet, and even mood, could make us healthier and more productive. You'll hear how crooks peddling fake antivirus software have duped the Web in a billion-dollar rip-off. You’ll learn about a stem-cell treatment that holds out hope to people who are paralyzed. You’ll hear how the former CTO of Microsoft is trying to transform the way we eat.

In this issue, you'll hear how wireless carriers are working hard to improve the network - so they can meet the demanding needs of their growing customer base. You'll learn about the Que [Q], Plastic Logics thin, lightweight e-reader based on organic transistors. You'll hear how companies are working on ways to combine social networking with TV viewing. You'll learn how Google has adapted its technology in order to keep search returns relevant.

Further proof that economic growth doesn’t require an increase in greenhouse gases.

The regulator has suggested that it treat every edit of an animal’s genome like a new drug, but some scientists think it could slow progress.

When Brian Hanley set out to test a gene therapy, he started with himself.

Donald Trump has been forced to hand over his old phone for a more secure device—which might make tweeting a little harder.

Limited to just audio, users of Amazon’s Alexa and Google’s Assistant don’t seem to stick with apps that run on their helper’s software. Would a screen help?

As @POTUS contemplates his legacy, the editors of MIT Technology Review took a look back at some of the most important technology initiatives of his eight years to assess that record. He succeeded in some important ways, such as supporting net neutrality and joining global action on climate change. But there were failures, too—remember healthcare.gov?—and even some of the successes are now in question as a new administration comes into power.

Let's face it: the pace of progress in artificial intelligence can sometimes seem unsettling. Terminator-style machines remain science fiction, but AI could have a huge impact on employment, introduce bias into algorithms, and contribute to the development of autonomous weapons. But perhaps the biggest looming threat may be making sure we understand how these increasingly complex systems work when they go awry.

Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word.

Since Apple announced the iPhone 7 to a resounding meh in San Francisco on September 7, the air has been filled with laments for the dearly departed headphone jack. Underneath these woeful cries can be heard whispers of a new rumor: next year, Apple may make an iPhone with a case made out of ceramic rather than metal.

Despite what your local election officials may tell you, you can’t trust the Internet with your vote.

The San Francisco Municipal Transportation Agency was taken for a ride of its own when hackers used ransomware to shut down its ticketing systems and demand payment.

Patients must give their informed consent before undergoing whole-genome sequencing or any other genetic test. But there are no laws that restrict what patients can do with their own genetic information, or that require patients’ family members to be involved in the consent process. This raises questions about who owns an individual’s genetic code, since family members share many genetic traits and may harbor the same genetic abnormalities associated with certain diseases.

Facebook has announced a new AI-powered filter for your photos—a modest move, but one that signals the company’s grand ambitions to bake artificial intelligence into every aspect of its business.

Google is using a powerful new machine-learning approach to save huge amounts of energy (and hundreds of millions of dollars) each year at its vast data centers. It might not be long before the technique, which involves a machine-learning algorithm gradually learning to perfect a task with positive reinforcement, catches on in a range of other areas.