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Supersonic plane to fly between New York and Tokyo in just 90 MINUTES

Supersonic plane to fly between New York and Tokyo in just 90 MINUTES | Futurewaves | Scoop.it
XCOR Aerospace claims its Lynx spacecraft, pictured, can travel at a speed of more than 2,500 mph - and dozens of miles above the earth - before safely landing at an airport.
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America’s 24 Dying Industries

America’s 24 Dying Industries | Futurewaves | Scoop.it

Source: Thinkstock 24. 

Office supplies, except paper, manufacturing 

> Employment change 2007-2016: -42.1% 

> Employment total: 11,597 

> Wage growth 2007-2016: 12.2% 

> Avg. annual wage: $47,222 Office supplies manufacturing is one of many industries in the United States negatively affected by the increasing digitization of the workplace. 

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State of the art dying industries including data about employment change,wage growth and average annual wage.
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Mymanu Clik+ offers real-time translation in 37 languages

Mymanu Clik+ offers real-time translation in 37 languages | Futurewaves | Scoop.it

Mymanu's Clik+ headphones come with a big promise: live translation between 37 languages. We saw something similar recently from Google and Bragi, but both of those are operating as a middleman, serving up the audio with an app doing the heavy lifting. Let's be clear, Mymanu also uses an app for translation, but the Click is designed to bring us one step closer to the app-free translation device we really want.

Prototypes of the Clik have been around for a while, but here at CES we were able to finally test it for ourselves. After a successful Indiegogo campaign last fall, the headset is poised to go into production, with an expected delivery date of March this year.

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How Neuroscience Is Beginning to Rewire the Brain From the Inside Out

How Neuroscience Is Beginning to Rewire the Brain From the Inside Out | Futurewaves | Scoop.it

In an interview at Exponential Medicine in San Diego, Singularity University faculty and speaker Dr. Divya Chander takes a look at how emerging technologies are letting us peer inside the human brain like never before.

As an anesthesiologist and neuroscientist at Stanford University, Chander specializes in measuring brain activity and depth-of-consciousness in patients using tools like high-frequency EEG technology.

During her interview, Chander outlined how CRISPR gene editing and stem cells are being applied in neuroscience. She said, “We are beginning to rewire the brain from the inside out. We’re cutting out things that don’t work at the level of the nucleus. We’re actually correcting diseases before they even express themselves.”

As excited as Chander is about the advances in her field, she’s well aware of the precautions we need to be taking while innovating in neuroscience.

Chander believes this is an ethical conversation that needs to happen across the board and in every country. She warns we can’t just leave the conversation to neuroscientists or entrepreneurs alone.

One of our biggest ethical problems is: all of this technology that’s hacking the neural code can non-invasively read brainwaves in a way we’ve never been able to do before,” Chander said. “There’s a group at the University of Alabama that actually found that if you’re wearing an EEG cap and someone’s typing in a password, you can hack the password. Using optogenetics we can implant false memories into mice.

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Why AI Could Be Entering a Golden Age - Knowledge@Wharton

Why AI Could Be Entering a Golden Age - Knowledge@Wharton | Futurewaves | Scoop.it

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer — think of Mary Shelley’s Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough — deep learning, where data structures are set up like the brain’s neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before.

Frank Chen, a partner specializing in AI at top venture capital firm Andreessen Horowitz, makes a case that AI could be entering a golden age. Knowledge@Wharton caught up with him at the recent AI Frontiers conference in Silicon Valley to talk about the state of AI, what’s realistic and what’s hype about the technology, and whether we will ever get to what some consider the Holy Grail of AI — when machines will achieve human-level intelligence.

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Key Highlights in Data Science / Deep Learning / Machine Learning 2017 and What can we Expect in 2018?

Key Highlights in Data Science / Deep Learning / Machine Learning 2017 and What can we Expect in 2018? | Futurewaves | Scoop.it

Introduction
2017 has been a really exciting year for a data science professional. This is pretty evident from the new technologies that have been emerging day-by-day such as Face-ID which has revolutionized the way we secure information in our mobile phones. Self-driving cars had been a myth, but now they are very much a reality, the adoption of which can be seen by governments throughout the world.

Data science is a field wherein ground-breaking research is happening at a much faster pace, in comparison to any other emergent technologies ever before. The time between contemplating a research idea and actually implementing it has come down significantly. . This is also fueled by the immense amount of resources freely available to everyone – which essentially enables even a normal person to contribute to research in their own way. For example, GitHub (a collaborative platform for software development) is now paving the way for research ideas to be shared in an implementation format. As Andrew Ng said

Data is the new Oil
AI is the new Electricity

Interesting Snippets of Year 2017
1. PowerBlox developed a scalable energy device capable of storing and distributing electricity from a variety of inputs

2. Neuralink : A high bandwidth and safe Brain-Machine Interface
Tags – Startup, Innovation

3. Face Recognition for payment transaction in KFC China
Tags – Innovation, Retail Industry, Computer Vision

4. Release of Deeplearn.js: Harness Machine Learning in Your Browser


5. Release of CatBoost: A machine learning library to handle categorical data automatically
Tags – machine learning, open source software

6.IBM Watson to aid in filing taxes
Tags – Company Collaboration, Finance

7. Shelf Engine: A startup developing AI to prevent food wastage
Tags – Startup, Food Industry

8. Body Labs – a start-up acquired by Amazon develops 3D models of individual human bodies from images

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Watch For China's Silicon Valley To Dominate In 2018 And Beyond

Watch For China's Silicon Valley To Dominate In 2018 And Beyond | Futurewaves | Scoop.it

China's Silicon Valley is ripening as new technologies and loads of venture capital flood the market. Expect this trend to gain force in 2018 as a Silicon Dragon shows its muscle. 

As another year wraps up and a new year begins, 

it's clear that the concept of a Silicon Dragon has gone mainstream. The western world can no longer ignore the expanding power, influence and impact of China's Silicon Valley. 

 Over the past decade since my first book Silicon Dragon was published in 2008, China's tech and venture scene has evolved quickly. It's no longer considered a joke to say that China is winning the tech race. 

There are just too many examples of how China IS leading advances in a new era of technology. It's clearly no longer a case of copying ideas from the West. 

Today, it's about ideas traveling from China to the West and being copied. What a transformation! The world's biggest tech companies are no longer mainly from America. 

In addition to Facebook, Amazon, Apple and Alphabet, there's Baidu, Alibaba, Tencent and Xiaomi from China. 

Right behind them are China's next-in-line leaders: news aggregator Toutiao, group e-commerce dealer Meituan and ride-sharing leader Didi Chuxing. 

If you mention Jack Ma's name today in a conversation with friends and family, they actually know who you mean. Name recognition is easier when you're one of Asia's top billionaires and running one of the world's most valuable companies.

Not content to dominate China tech in their homeland, Chinese power businesses are going global, moving into Hollywood, real estate in New York and LA, and innovative startups in Silicon Valley. They're beating American businesses to newly emerging opportunities in Southeast Asia too, an important next frontier. Chinese entrepreneurs are known for moving with lightning speed and at non-stop work hours to start up new businesses. 

A new term has been coined to describe their work life, 996, meaning 9 to 9, 6 days per week. Silicon Valley can look decidedly sleepy, by comparison. China is getting ahead in many fields that are revolutionizing tech, from artificial intelligence to fintech to virtual reality to the sharing economy and retail e-commerce. What's more, these categories see U.S. and Chinese businesses competing head-to-head: Baidu with Google, Alibaba with Amazon, Facebook with Wechat, and Huawei with Apple. 

There's plenty of money in the Middle Kingdom to finance these China's next upstarts.

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74 Things That Blew Our Minds in 2017 - The Atlantic

74 Things That Blew Our Minds in 2017 - The Atlantic | Futurewaves | Scoop.it
This past year, reporters on The Atlantic’s science, technology, and health desks worked tirelessly, writing hundreds of stories. Each of those stories is packed with facts that surprised us, delighted us, and in some cases, unsettled us. Instead of picking our favorite stories, we decided to round up a small selection of the most astonishing things we learned in 2017. We hope you enjoy them as much as we did, and we hope you’ll be back for more in 2018:


Via John Evans
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This Google AI created a ‘child’ AI to help it solve problems

This Google AI created a ‘child’ AI to help it solve problems | Futurewaves | Scoop.it
Google's AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models.

Via John Lasschuit ®™
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John Lasschuit ®™'s curator insight, January 3, 9:05 AM

When AI can create AI children, and those children on their turn are able to create children, we only need 2 AIs creating 2 children each second to be completely overtaken by AIs before we even realize it...

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Predictions: AI, IoT, and blockchain will dominate headlines in 2018

Predictions: AI, IoT, and blockchain will dominate headlines in 2018 | Futurewaves | Scoop.it
Information technology in 2018 is expected to be more exciting as technologies that were just a concept or in the trial stages in the past years will become a reality, according to technology companies.

Commentaries submitted by technology companies had five common predictions related to artificial intelligence, Internet of Things, blockchain, cloud computing, and IT security.

ARTIFICIAL INTELLIGENCE

AI will get smarter and more practical in 2018

2018 will see a growth in analytics and artificial intelligence (AI) across the board as companies see real returns on their investments. According to IDC, revenue growth from information-based products will double the rest of the product and services portfolio for a third of Fortune 500 companies by the end of 2017.

“AI became mainstream with consumer products like Amazon Alexa and Apple Siri, and Hitachi believes that it is the collaboration of AI and humans that will bring real benefits to society,” said Hitachi Vantara's Hubert Yoshida, chief technology officer, and Russell Skingsley, chief technology officer of Asia Pacific. “Through tools like Pentaho Data Integration, our aim is to democratize the data engineering and data science process to make Machine Intelligence – a combination of Machine Learning and AI – more accessible to a wider variety of developers and engineers.

Zakir Ahmed, General Manager of Asia at Oracle NetSuite, notes that to date, AI has mostly been following simple rules. If A = B then C else D. This proved to be sufficient for powering devices like smart fridges or cars. On the downside, this predictability also meant that people could easily outsmart AI, often with dire consequences.
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Wearable tech begins to help monitor chronic diseases

Wearable tech begins to help monitor chronic diseases | Futurewaves | Scoop.it

In the last months of Steve Jobs’ life, the Apple co-founder fought cancer while managing diabetes.

Because he hated pricking his finger to draw blood, Jobs authorized an Apple research team to develop a noninvasive glucose reader with technology that could potentially be incorporated into a wristwatch, according to people familiar with the events, who asked not to be identified because they were not authorized to speak on behalf of the company.

It was one of many medical applications that Apple considered for the Apple Watch, which debuted in 2015. Yet because many of the health features proved unreliable or required too many compromises in the watch’s size or battery life, Apple ended up positioning the device for activity tracking and notifications instead.

Now, the Apple Watch is finding a medical purpose after all.

In September, Apple announced the Apple Watch would no longer need to be tethered to a smartphone and would become more of a stand-alone device. Since then, a wave of device manufacturers have tapped into the watch’s new features like cellular connectivity to develop medical accessories — such as an electrocardiogram for monitoring heart activity — so people can manage chronic conditions straight from their wrist.

What is happening with the Apple Watch is one of the first signs of a leap forward in the utility of wearable devices. Many people had wondered why they would need a smartwatch at all when most already carry more powerful smartphones with them. But as the Apple Watch becomes capable of handling more medical tasks on its own, they may now have an answer.

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Using wearable device, researchers capture sleep for the first time

Using wearable device, researchers capture sleep for the first time | Futurewaves | Scoop.it

Modern sleep studies typically occur in a sleep lab, in a sleep environment drastically different from what someone normally experiences. Using wearable technology, researchers are finding ways for sleep to be recorded at home.

MEASURING SLEEP
Until now, measuring a person’s sleep was an arduous, complicated process. Patients have been required to go to a sleep lab, where a team of scientists and physicians used a whole host of technologies to capture sleep — all while the participants attempted to nod off in a decidedly unnatural environment. This method is extremely costly and time-consuming, and might not reflect how sleep happens in a natural setting. But one new finding could spell the end of difficult sleep studies.

As published in the journal Current Biology, researchers developed a method which allowed them to accurately capture sleep, gathering detailed information about human sleep for long periods of time while participants were at home. Not only is this method cheaper and easier for both patients and researchers; it is the first time that it will be possible to objectively measure the realistic sleep habits and sleep quality of large numbers of people.

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Digitized to Democratized: These Are the 6 Ds of Exponential Technologies

Digitized to Democratized: These Are the 6 Ds of Exponential Technologies | Futurewaves | Scoop.it

“The Six Ds are a chain reaction of technological progression, a road map of rapid development that always leads to enormous upheaval and opportunity.”

–Peter Diamandis and Steven Kotler, Bold

We live in incredible times. News travels the globe in an instant. Music, movies, games, communication, and knowledge are ever-available on always-connected devices. From biotechnology to artificial intelligence, powerful technologies that were once only available to huge organizations and governments are becoming more accessible and affordable thanks to digitization.

The potential for entrepreneurs to disrupt industries and corporate behemoths to unexpectedly go extinct has never been greater.

One hundred or fifty or even twenty years ago, disruption meant coming up with a product or service people needed but didn’t have yet, then finding a way to produce it with higher quality and lower costs than your competitors. This entailed hiring hundreds or thousands of employees, having a large physical space to put them in, and waiting years or even decades for hard work to pay off and products to come to fruition.

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Algorithms Are Getting Better at Identifying Human Behavior

Algorithms Are Getting Better at Identifying Human Behavior | Futurewaves | Scoop.it

The holiday season has many things associated with it that generates positive emotions in people around the world. Sadly, it is also a time that generates negative feelings which includes suicidal thoughts.  Although humans are getting better in understanding the human psyche, suicide among young adults is the second-leading cause of death according to the U.S. Centers for Disease Control and Prevention.  Fortunately, artificial intelligence is improving in this field as algorithms are getting better at identifying human behavior.

What is an Algorithm?
Let’s first explain what an algorithm is, which is a procedure used to help find the answer to a mathematical problem (finding the greatest common divisor) in a number of finite steps which frequently involves repetition of an operation; in other words, a step-by-step procedure for figuring out the answer to a problem or accomplishing some end by using a computer.  While this may be a lot to take in, just remember that AI has evolved from simply being used to retrieve data to answer factual questions (think of the show Jeopardy) to now being able to identify specific human behaviors.

Source: Medium
How algorithms have been identifying human behavior
Back in 2014, an article by Jennifer Golbeck focused on the type of insights one can make about an individual by analyzing social media accounts.  Considering the amount of data that is shared on various social media sites, the information that some may think is innocuous is revealing; analyzing tens of thousands of other profiles can lead to secrets one never intended on sharing.  The title of the article, Smart People Prefer Curly Fries, shows that using the right algorithms and combining it with meaningful data can result in revealing human behavior/characteristics that even the individual was not aware of.

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CES 2018: Digital health devices coming to your home

CES 2018: Digital health devices coming to your home | Futurewaves | Scoop.it

​ Tech devices are giving people more control over how they address their health needs from better sleep to insight on how to care for their skin.

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2017 was the year of gene-therapy breakthroughs

2017 was the year of gene-therapy breakthroughs | Futurewaves | Scoop.it
Rewriting Life
2017 Was the Year of Gene-Therapy Breakthroughs
Gene-fixing treatments have now cured a number of patients with cancer and rare diseases.
by Emily Mullin January 3, 2018

It was a notable year for gene therapy. The first such treatments in the U.S. came to market this year after winning approval from the Food and Drug Administration. Meanwhile, researchers announced more miraculous cures of patients with rare and life-threatening diseases who were treated with experimental therapies.

Decades in the making, gene therapy—the idea of modifying a person’s DNA to treat disease—represents a major shift in medicine. Instead of just treating symptoms like the vast majority of drugs on the market, gene therapy aims to correct the underlying genetic cause of a disease. Doctors and scientists hope these treatments will be a one-shot cure.

Last year, we wrote that 2016 was gene therapy’s most promising year. But 2017 proved to be even bigger.
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Our music tech predictions for 2018: SoundCloud's survival, the Bitcoin boom and more modular madness

Our music tech predictions for 2018: SoundCloud's survival, the Bitcoin boom and more modular madness | Futurewaves | Scoop.it

What technological trends can listeners and artists expect in 2018? Scott Wilson stares into his crystal ball to discover how tech may change the way we consume and make music in 2017, wondering what changes are coming to Spotify, whether SoundCloud will survive and whether Eurorack gear will continue to inspire  musicians.

From the insidious rise of “fake news” to the increasing prevalence of AI in our everyday lives, 2017 was actually a pretty terrifying year in terms of technology’s impact on society. In the music industry, streaming continued to dominate the headlines, as SoundCloud struggled to stay afloat and artists pushed back against the allegedly meagre royalties doled out to smaller artists and labels by companies like Spotify.

Technology’s impact on music in 2017 wasn’t all bad. For music-makers at least, the year brought a slew of innovative new apps and gadgets for production, while blockchain technology started to be taken seriously as a way of making sure musicians and everyone involved in the music production and distribution process get paid properly and fairly.

So what technological developments and trends might 2018 hold for artists and listeners? We’ve made some predictions on what the next 12 months might bring to the music industry – the good things and the bad.

1. SoundCloud will survive 2018, but its influence and usability will wane
2. Big changes at Spotify and beyond will impact its users
3. Cryptocurrency hype will hit the music industry, and probably not in a good way
4. The synth clone wars are just getting started
5. Music-making will become easier for beginners than ever

6. Non-traditional MIDI controllers go mainstream

7. Eurorack gear will continue to boom

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This Suit Will Take Virtual Reality To A Whole New Level

This Suit Will Take Virtual Reality To A Whole New Level | Futurewaves | Scoop.it
Eureka Park Preview: Teslasuit Reinvents Virtual Reality Making It A 4D Experience
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India facing possible ‘mental health epidemic’: President Kovind - Times of India

India facing possible ‘mental health epidemic’: President Kovind - Times of India | Futurewaves | Scoop.it
BENGALURU: President Ram Nath Kovind on Saturday said that India is facing a possible 'mental health epidemic', and stressed on the need to take up access to treatment facilities by 2022 as a national mission while also addressing the shortage of mental health professionals.
He was speaking at the 22nd convocation of National Institute of Mental Health and Neurosciences (Nimhans) here. Pointing out that there are just about 5,000 psychiatrists and less than 2,000 clinical psychologists in the country, he said that that these numbers are very small, especially for the purpose of diagnosis of mental illnesses.
"For those getting their degrees at the convocation, the real challenge has just begun. They are going into a world where their skills are acutely needed more than ever before. The country does not just have a mental health challenge but is also facing a possible mental health epidemic," Kovind said.
The technological, economic and demographic changes in the country are transforming the nature of diseases, he said.
He added that by 2022, when India celebrates its 75th anniversary of independence, the country must ensure that at least those suffering from serious mental health disorders have been diagnosed and have access to treatment facilities.
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Will Artificial Intelligence Become Conscious?

Will Artificial Intelligence Become Conscious? | Futurewaves | Scoop.it

Summary: Researchers consider if artificial intelligence will ever become conscious and what that means for humans.

Source: The Conversation.

Forget about today’s modest incremental advances in artificial intelligence, such as the increasing abilities of cars to drive themselves. Waiting in the wings might be a groundbreaking development: a machine that is aware of itself and its surroundings, and that could take in and process massive amounts of data in real time. It could be sent on dangerous missions, into space or combat. In addition to driving people around, it might be able to cook, clean, do laundry – and even keep humans company when other people aren’t nearby.

A particularly advanced set of machines could replace humans at literally all jobs. That would save humanity from workaday drudgery, but it would also shake many societal foundations. A life of no work and only play may turn out to be a dystopia.

Conscious machines would also raise troubling legal and ethical problems. Would a conscious machine be a “person” under law and be liable if its actions hurt someone, or if something goes wrong? To think of a more frightening scenario, might these machines rebel against humans and wish to eliminate us altogether? If yes, they represent the culmination of evolution.

As a professor of electrical engineering and computer science who works in machine learning and quantum theory, I can say that researchers are divided on whether these sorts of hyperaware machines will ever exist. There’s also debate about whether machines could or should be called “conscious” in the way we think of humans, and even some animals, as conscious. Some of the questions have to do with technology; others have to do with what consciousness actually is

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Neurotechnology, Elon Musk and the goal of human enhancement

Neurotechnology, Elon Musk and the goal of human enhancement | Futurewaves | Scoop.it
At the World Government Summit in Dubai in February, Tesla and SpaceX chief executive Elon Musk said that people would need to become cyborgs to be relevant in an artificial intelligence age. He said that a “merger of biological intelligence and machine intelligence” would be necessary to ensure we stay economically valuable. Soon afterwards, the serial entrepreneur created Neuralink, with the intention of connecting computers directly to human brains. He wants to do this using “neural lace” technology – implanting tiny electrodes into the brain for direct computing capabilities.Brain-computer interfaces (BCI) aren’t a new idea. Various forms of BCI are already available, from ones that sit on top of your head and measure brain signals to devices that are implanted into your brain tissue.
Via Alex Butler
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Dangerous thoughts. Economy is there for people not the other way round.
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The Strengths and Weaknesses of Modern Machine Learning Algorithms

The Strengths and Weaknesses of Modern Machine Learning Algorithms | Futurewaves | Scoop.it

When it comes to today’s machine learning algorithms, they are being used in a variety of ways as well as in different fields.  Healthcare, businesses, research are just a few examples where artificial intelligence is being applied to solve problems that either humans could not do by themselves or would take massive amounts of time to solve. 

However, everything in life has its strengths and weaknesses; modern machine learning algorithms are unfortunately no exception to this rule. Earlier this year, an article posted on the Elite Data Science website focused on several types of today’s modern machine learning algorithms as well as their strengths and weakness.

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Deep Learning Achievements Over the Past Year – Stats and Bots

Great developments in text, voice, and computer vision technologies
At Statsbot, we’re constantly reviewing the deep learning achievements to improve our models and product. Around Christmas time, our team decided to take stock of the recent achievements in deep learning over the past year (and a bit longer). We translated the article by a data scientist, Ed Tyantov, to tell you about the most significant developments that can affect our future.

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2017: As told through Elon Musk's tweets

2017: As told through Elon Musk's tweets | Futurewaves | Scoop.it

Love him or hate him, Elon Musk ruled 2017. From exploring our potential as cyborgs to the realistic next steps for colonizing Mars, Musk is changing life as we know it.

Musk’s Year
2017 could arguably be called the year of Elon Musk. Love him or hate him, he seemed to be everywhere, doing just about everything. From Australian megabatteries, to teasing the world by suggesting he might blast a Tesla Roadster into space, Musk has dipped his toes into every sector. From Neuralink to Tesla to SpaceX and even the Boring Company, Musk is revolutionizing the way we think about and approach transportation, space travel, and even our own brains. So let’s take a look back at 2017 through the Twitter of the man who is taking reality and shaping it for the future:

Musk’s first tweet of 2017 marked progress in the reusable Falcon 9 rockets. Within this year alone, SpaceX launched 16 Falcon 9 rockets. In the new year, they expect to launch the Falcon Heavy, which includes boosters and modified first-stages from Falcon 9 rockets. The advancement of reusable rockets will allow us to further embrace space exploration.

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The five most amazing things that were 3-D-printed this year

The five most amazing things that were 3-D-printed this year | Futurewaves | Scoop.it

Additive manufacturing has been hyped for years. But in 2017 much of its promise materialized: 3-D printing took a series of big steps out of the realm of niche prototyping and into the world of mass manufacturing. Here’s a look at some of the most impressive things 3-D printers made this year, as well as what their creations portend for the future.

Running shoes
Eyeglasses, a bevel gear, and a miniature replica of the MIT dome
Jet-engine combustion liner
Stronger steel
Quickly made metal parts

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AI, machine learning, and deep learning: What they are and how they differ

AI, machine learning, and deep learning: What they are and how they differ | Futurewaves | Scoop.it


Artificial intelligence is no longer the stuff of science fiction flicks. It’s a reality, and chances are you’re interacting and being impacted by AI technology-powered applications every day. AI seems to be the phrase on everybody’s lips these days, right from makers of autonomous trucks that can travel thousands of miles without requiring human intervention to truck drivers who fear they’ll be out of a job if these AI-powered trucks make it to the roads. In 2016, Google’s DeepMind AlphaGo program competed against Lee Se-dol, South Korean master of the board game Go, the program emerged victorious. Media coverage used terms such as AI, machine learning, and deep learning interchangeably as if they all meant the same thing. The truth is, they don’t. Of course, all three technologies were responsible for AlphaGo’s victory in their own way, but they are all different. And probably if it were an AI-powered press release writer program, this mistake might not have happened!

To make sure that you can make sense of the latest revolutions from the world of technology, it’s crucial that you understand the nuances that separate AI, machine learning, and deep learning. So read on.

AI: Technology that makes machines behave like intelligent humans

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John Lasschuit ®™'s curator insight, December 28, 2017 6:18 AM

For all who wants to know the differences.