What if AI can make us more human in the age of robotic automation?

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“We now live in a global, exponential world,” Steven Kotler tells my coauthor Michael Ashley and I from his Santa Monica office. We’re interviewing the New York Times bestselling author and entrepreneur for our upcoming book: Uber Yourself Before You Get Kodaked: A Modern Primer on A.I. for the Modern Business. “You need to understand our brains evolved in a local, linear environment. We cannot process change at this speed or this scale; we’re bad at it. But in the 21st century, according to research done by Ray Kurzweil, we will experience over 20,000 years’ worth of change. To put it succinctly, over the next 80-something years we will go through the birth of agriculture to the industrial revolution — twice — in terms of our technological advancement.”

Much has been made of the fact that humans are poised to be replaced by artificial intelligence in the workplace, from home-care robots to robot waiters. However, what Kotler and his coauthor Peter Diamandis have asserted in such books as Bold: How to Go Big, Create Wealth and the Impact the World, is that unprecedented technological abundance is also coming. Importantly, these thinkers suggest the future of prosperity depends not just on exponential technological innovation, but also on exponential creativity.

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Deepfakes: The dawn of the Post-truth era

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For about 200,000 years, modern humans have relied on our eyes and ears to separate truth from lies and fact from fiction. Even if we ignore the rise of fake news (and how difficult it is to do anything about it), technology (like deep learning) is on the verge of making it impossible to know if what you are seeing and hearing is real or fake.

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Machine-learning system tackles speech and object recognition, all at once

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MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image.

Model learns to pick out objects within an image, using spoken descriptions.

MIT computer scientists have developed a system that learns to identify objects within an image, based on a spoken description of the image. Given an image and an audio caption, the model will highlight in real-time the relevant regions of the image being described.

Unlike current speech-recognition technologies, the model doesn’t require manual transcriptions and annotations of the examples it’s trained on. Instead, it learns words directly from recorded speech clips and objects in raw images, and associates them with one another.

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AI-Human “hive mind ” diagnoses pneumonia

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First, it correctly predicted the top four finishers at the Kentucky Derby. Then, it was better at picking Academy Award winners than professional movie critics—three years in a row. The cherry on top was when it prophesied that the Chicago Cubs would end a 108-year dry spell by winning the 2016 World Series—four months before the Cubs were even in the playoffs. (They did.)

Now, this AI-powered predictive technology is turning its attention to an area where it could do some real good—diagnosing medical conditions.

In a study presented on Monday at the SIIM Conference on Machine Intelligence in Medical Imaging in San Francisco, Stanford University doctors showed that eight radiologists interacting through Unanimous AI’s “swarm intelligence” technology were better at diagnosing pneumonia from chest X-rays than individual doctors or a machine-learning program alone.

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When will we have Artificial Intelligence as smart as a human? Here’s what experts think

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Robots in the movies can think creatively, continue learning over time, and maybe even pass for conscious. Why don’t we have that yet?

“Star Wars,” “Her,” and “iRobot.” What do all these movies have in common? The artificial intelligence (AI) depicted in there is crazy-sophisticated. These robots can think creatively, continue learning over time, and maybe even pass for conscious.

Real-life artificial intelligence experts have a name for AI that can do this — it’s Artificial General Intelligence (AGI). For decades, scientists have tried all sorts of approaches to create AGI, using techniques such as reinforcement learning and machine learning. No approach has proven to be much better than any other, at least not yet.

Indeed, there’s a catch here: despite all the excitement, we have no idea how to build AGI.

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Artificial intelligence hates the poor and disenfranchised

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The biggest actual threat faced by humans, when it comes to AI, has nothing to do with robots. It’s biased algorithms. And, like almost everything bad, it disproportionately affects the poor and marginalized.

Machine learning algorithms, whether in the form of “AI” or simple shortcuts for sifting through data, are incapable of making rational decisions because they don’t rationalize — they find patterns. That government agencies across the US put them in charge of decisions that profoundly impact the lives of humans, seems incomprehensibly unethical.

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8 predictions for the near-future of artificial intelligence

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An artificial Intelligence project utilizing a humanoid robot from French company Aldebaran and reprogramed for their specific campus makes its debut as an assistant for students attending Palomar College in San Marcos, California, U.S. October 10, 2017. REUTERS/Mike Blake

No one disputes the potential impact AI will have across a wide range of business sectors.

At this year’s Annual Meeting of the New Champions (AMNC) in Tianjin, China, PwC unveiled a report detailing eight significant predictions for the future of artificial intelligence (AI), called 2018 AI Predictions – 8 insights to shape business strategy. No one disputes the potential impact AI will have across a wide range of business sectors, and PwC has drawn on its own research and experience to lay out what it believes the short-term future holds for this exciting and sometimes anxiety-raising technology.

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19 astonishing quotes about the Internet of Things everyone should read

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Seems like everybody is talking about the Internet of Things (IoT)—the good, the bad and the alarming along the lines of. “It’s the beginning of machines taking over the world.” The IoT is when everyday products such as refrigerators, watches, speakers and more connect to the internet and to one another. The Internet of Things is already transforming our homes and workplaces.

So, what are some of the world’s brightest minds, most notable figures or just everyday people saying about the Internet of Things (IoT)? Here’s a sampling of what’s been written or talked about when it comes to the Internet of Things.

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The largest internet company in 2030? This prediction will probably surprise you

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Online learning taught by robots could be widespread by 2030.

Thirty years ago, it was a big deal when schools got their first computers. Today, it’s a big deal when students get their own laptops.

According to Futurist Thomas Frey, in 12 years it’ll be a big deal when students learn from robot teachers over the internet.

It’s not just because the technology will be that sophisticated, Frey says, but because the company responsible for it will be the largest of its kind.

“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.

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Over 9 out of 10 people are ready to take orders from robots

If you are unhappy taking orders from your human boss, you might be more inclined to take orders from robots, according to a new survey.

The AI, machine learning, and data science conundrum: Who will manage the algorithms?

There seems to be a large gap between the way people are using artificial intelligence (AI) at home and at work. Although almost three quarters of us use AI in our personal life, only six percent of HR professionals are deploying AI and only one in four (24 percent) of employees are currently using some form of AI at work.

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How Artificial Intelligence and machine learning are revolutionizing logistics, supply chain and transportation

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Forbes Insights research shows that 65% of senior transportation-focused executives believe logistics, supply chain and transportation processes are in the midst of a renaissance—an era of profound transformation. But of the most visible forces of change, perhaps none carries more potential for innovation and even disruption than the evolution of artificial intelligence (AI), machine learning (ML) and related technologies.

AI, ML and associated technologies promise to enable leaders to focus IoT and myriad other data feeds on achieving greater optimization and responsiveness across the whole of their logistics, supply chain and transportation footprint.

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Kids will build ’emotional bonds’ with robots and ignore their parents, futurologist predicts

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Children will soon have their own ‘cute’ artificial intelligence-equipped robot toys and will pay more attention to the machines’ advice than guidance issued by their parents.

That’s the warning from futurologist Ian Pearson, who was speaking at an event by the tech firm Beko held at the IFA 2018 conference in Berlin. He said robots would be commonplace in our homes within the next 15 years. But parents will be concerned to hear that he believes they will have a greater influence on ‘educating and training’ children than their own parents.

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