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Category: internet – Page 270

Hyper-connectivity has changed the way we communicate, wait, and productively use our time. Even in a world of 5G wireless and “instant” messaging, there are countless moments throughout the day when we’re waiting for messages, texts, and Snapchats to refresh. But our frustrations with waiting a few extra seconds for our emails to push through doesn’t mean we have to simply stand by.

To help us make the most of these “micro-moments,” researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a series of apps called “WaitSuite” that test you on vocabulary words during idle moments, like when you’re waiting for an instant message or for your phone to connect to WiFi.

Building on micro-learning apps like Duolingo, WaitSuite aims to leverage moments when a person wouldn’t otherwise be doing anything — a practice that its developers call “wait-learning.”

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I’ve been reading about Gcam, the Google X project that was first sparked by the need for a tiny camera to fit inside Google Glass, before evolving to power the world-beating camera of the Google Pixel. Gcam embodies an atypical approach to photography in seeking to find software solutions for what have traditionally been hardware problems. Well, others have tried, but those have always seemed like inchoate gimmicks, so I guess the unprecedented thing about Gcam is that it actually works. But the most exciting thing is what it portends.

I think we’ll one day be able to capture images without any photographic equipment at all.

Now I know this sounds preposterous, but I don’t think it’s any more so than the internet or human flight might have once seemed. Let’s consider what happens when we tap the shutter button on our cameraphones: light information is collected and focused by a lens onto a digital sensor, which converts the photons it receives into data that the phone can understand, and the phone then converts that into an image on its display. So we’re really just feeding information into a computer.

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In aerospace, parts are complicated, and manufacturing them can be very expensive and time consuming. When rocket engine parts can take up to a year to make, it is very difficult to start a new rocket company and for aerospace companies to be cost effective, innovative and nimble.

These barriers to entry are why you don’t see many start-up space companies and why the industry has relied on the same basic engine designs as those built during the Apollo program.

3D printing is changing all that. At Virgin Orbit, we are building a rocket system that will send small satellites into orbit. We aim to open access to space for small satellites to improve life on earth through services such as internet connectivity to the under connected and data for planning, production, disaster mitigation etc.

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Ray Kurzweil is probably the most qualified individual to talk about the future of technology. He does it at CeBIT in a captivating presentation about technologies that will be as important as the internet. Ray is an Inventor, Entrepreneur, Futurist, Writer, founder of the Singularity University and now at Google. (Intro is temporally missing). March 2017.

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I do not think, at least at first, that any brain interfaces for the masses will be anything other than organic. Possibly a synthetic virus that can be inserted and removed without the invasion of instruments. Those things we might have to deal with either way are summarized here.

How closely will we live with the technology we use in the future? How will it change us? And how close is “close”? Ghost in the Shell imagines a futuristic, hi-tech but grimy and ghetto-ridden Japanese metropolis populated by people, robots, and technologically-enhanced human cyborgs.

Beyond the superhuman strength, resilience, and X-ray vision provided by bodily enhancements, one of the most transformative aspects of this world is the idea of brain augmentation, that as cyborgs we might have two brains rather than one. Our biological brain—the “ghost” in the “shell”—would interface via neural implants to powerful embedded computers that would give us lightning-fast reactions and heightened powers of reasoning, learning and memory.

Continue reading “Ghost in the Shell Thrills, But Ducks the Philosophical Questions Posed by a Cyborg Future” | >

Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and that algorithms are beating doctors at diagnoses. New AI startups pop up everyday, claiming to solve all your personal and business problems with machine learning.

Ordinary objects like juicers and Wi-Fi routers suddenly advertise themselves as “powered by AI.” Not only can smart standing desks remember your height settings, they can also order you lunch.

Much of the AI hubbub is generated by reporters who’ve never trained a neural network and by startups or those hoping to be acqui-hired for engineering talent despite not having solved any real business problems. No wonder there are so many misconceptions about what AI can and cannot do.

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Artificial intelligence is not a vague concept we picked up from a science fiction novel. It is the single biggest technology trend since the Internet, and the money-making potential is huge.

Google, Amazon, and Microsoft are all ready to soar on the winds of change. Most people expect it to be a zero-sum game, but their varying strengths will allow them all to succeed.

Microsoft is likely going to own the enterprise segment. Amazon will probably win the consumer device fight, and Google could become a healthcare giant.

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