The authoritative CB Insights lists imminent Future Tech Trends: customized babies; personalized foods; robotic companions; 3D printed housing; solar roads; ephemeral retail; enhanced workers; lab-engineered luxury; botroots movements; microbe-made chemicals; neuro-prosthetics; instant expertise; AI ghosts. You can download the whole outstanding report here (125 pgs).
From DSC: Though I’m generally pro-technology, there are several items in here which support the need for all members of society to be informed and have some input into if and how these technologies should be used. Prime example: Customized babies. The report discusses the genetic modification of babies: “In the future, we will choose the traits for our babies.” Veeeeery slippery ground here.
Some conference participants were concerned that this beleaguered region might grow. In fact, one attendee — an old friend who strategizes about technology for a big New York bank — commented that perhaps Wall Street would become “the new Rust Belt.” His concern was that automation of the finance industry would hollow out jobs in that field in the same way that robotics and other technologies have reduced manufacturing employment.
This is a sobering prospect, but there is plenty of evidence that it’s a real possibility. Key aspects of the finance industry have already been automated to a substantial degree. Jobs in the New York finance field have been declining for several years. According to data from research firm Coalition Ltd., more than 10,000 “front-office producer” jobs have been lost within the top 10 banks since 2011. Coalition also suggests that global fixed-income headcount has fallen 31% since 2011.
According to a new report, organizations are moving away from hierarchies, focusing on improving the employee experience, redesigning training, and reinventing the role of HR.
Business and HR leaders should rethink almost all of their management and HR practices as the proliferation of digital technologies transform the way organizations work, according to predictions for 2017 from Bersin by Deloitte, Deloitte Consulting LLP.
This year’s report includes 11 predictions about rapid technological, structural, and cultural changes that will reshape the world of work, including management, HR, and the markets for HR and workplace technology.
Get ready for AI to show up where you’d least expect it.
In 2016, tech companies like Google, Facebook, Apple and Microsoft launched dozens of products and services powered by artificial intelligence. Next year will be all about the rest of the business world embracing AI.
Artificial intelligence is a 60-year-old term, and its promise has long seemed like it was forever over the horizon. But new hardware, software, services and expertise means it’s finally real — even though companies will still need plenty of human brain power to get it working.
AI was one of the hottest trends in tech this year, and it’s only poised to get bigger. You’ve already brushed up against AI: It screens out spam, organizes your digital photos and transcribes your spoken text messages. In 2017, it will spread beyond digital doodads to mainstream businesses.
The design world has seen its own changes and updates as well. And as we know, change is the only constant. We’ve asked some of the top creatives to share what 2017 design trends they think will be headed our way.
SAN JOSE, Calif.–(BUSINESS WIRE)–The market has evolved from technologists looking to learn and understand new big data technologies to customers who want to learn about new projects, new companies and most importantly, how organizations are actually benefitting from the technology. According to John Schroeder, executive chairman and founder of MapR Technologies, Inc., the acceleration in big data deployments has shifted the focus to the value of the data. John has crystallized his view of market trends into these six major predictions for 2017…
2016 was a rich year for medical technology. Virtual Reality. Augmented Reality. Smart algorithms analysing wearable data. Amazing technologies arrived in our lives and on the market almost every day. And it will not stop in the coming year. The role of a futurist is certainly not making bold predictions about the future. No such big bet has taken humanity forward. Instead, our job is constantly analysing the trends shaping the future and trying to build bridges between them and what we have today. Still, people expect me to come up with predictions about medical technologies every year, and thus here they are.
Artificial intelligence (and machine/deep learning) is the hottest trend, eclipsing, but building on, the accumulated hype for the previous “new big thing,” big data. The new catalyst for the data explosion is the Internet of Things, bringing with it new cybersecurity vulnerabilities. The rapid fluctuations in the relative temperature of these trends also create new dislocations and opportunities in the tech job market.
The hottest segment of the hottest trend—artificial intelligence—is the market for chatbots. “The movement towards conversational interfaces will accelerate,” says Stuart Frankel, CEO, Narrative Science. “The recent, combined efforts of a number of innovative tech giants point to a coming year when interacting with technology through conversation becomes the norm. Are conversational interfaces really a big deal? They’re game-changing. Since the advent of computers, we have been forced to speak the language of computers in order to communicate with them and now we’re teaching them to communicate in our language.”
Google changed the world with its PageRank algorithm, creating a new kind of internet search engine that could instantly sift through the world’s online information and, in many cases, show us just what we wanted to see. But that was a long time ago. As the volume of online documents continues to increase, we need still newer ways of finding what we want.
That’s why Google is now running its search engine with help from machine learning, augmenting its predetermined search rules with deep neural networks that can learn to identify the best search results by analyzing vast amounts of existing search data. And it’s not just Google. Microsoft is pushing its Bing search engine in the same direction, and so are others beyond the biggest names in tech.
3 Forces Shaping Ed Tech in 2017— from campustechnology.com by Dian Schaffhauser
Ovum’s latest report examines the key trends that are expected to impact higher education in the new year.
Institutions Will Support the Use of More Innovative Tech in Teaching and Learning
Schools Will Leverage Technology for Improving the Student Experience
The Next-Generation IT Strategy Will Focus More on IT Agility
We’ve seen a lot of exciting new innovations take place over the course of 2016. This year has introduced interesting new uses for virtual reality—like using VR to help burn victims in hospitals mentally escape from the pain during procedures—and even saw the world’s first revolutionary augmented reality game in the form of Pokémon Go. The iPhone 7 was also introduced, leaving millions of people uncertain of their feelings regarding Apple, while Samsung loyalists just prayed that their smartphones would stay in one piece.
Undoubtedly, there have been quite a few ups and downs in technology over the past year. With any luck, 2017 will provide us with even more new innovations and advancements in tech. But what exactly do we have to look forward to? TMC recently caught up with Jordan Edelson, CEO of Appetizer Mobile, to discuss his thoughts on 2016 and his predictions for what’s to come in the future. You can find the entire exchange below.
2016 is fast drawing to a close. And while many will be glad to see the back of it, for those of us who work and play with Virtual Reality, it has been a most exciting year. By the time the bells ring out signalling the start of a new year, the total number of VR users will exceed 43 million. This is a market on the move, projected to be worth $30bn by 2020. If it’s to meet that valuation, then we believe 2017 will be an incredibly important year in the lifecycle of VR hardware and software development. VR will be enjoyed by an increasingly mainstream audience very soon, and here we take a quick look at some of the trends we expect to develop over the next 12 months for that to happen.
Every December, we take a look back at big ideas from the past twelve months that promise to gain momentum in the new year. With more than eleven thousand projects launched between our Design and Tech categories in 2016, we have a nice sample to draw from. More importantly, we have a community of forward-thinking backers who help creators figure out which versions of the future to pursue. Here are some of the emerging trends we expect to see more of in 2017.
Everyday artificial intelligence
Whether chatting with a device as if it’s a virtual assistant strikes you as a sci-fi dream come true or a dystopian nightmare, we’re going to see an increasing number of products that use voice-controlled artificial intelligence interfaces to fit into users’ lives more seamlessly. Among the projects leading the way in this arena are Vi, wireless earphones that double as a personal trainer; Bonjour, an alarm clock that wakes you up with a personalized daily briefing; and Dashbot, a talking car accessory that recalls Kit, David Hasselhoff’s buddy from Knight Rider. One of the factors driving this talking AI boom is the emergence of platforms like Microsoft’s Cognitive Service, Amazon’s Alexa, and Google’s Speech API, which allow product developers to focus on user experience rather than low-level speech processing. For the DIY set, Seeed’s ReSpeaker offers a turnkey devkit for working with these services, and we’ll surely see more tools for integrating AI voice interfaces into all manner of products.
During Microsoft’s Build Conference earlier this year, CEO Satya Nadella delivered the three-hour keynote address, in which he highlighted his belief that the future of technology lies in human language. In this new wave of technology, conversation is the new interface, and “bots are the new apps.” While not as flashy as virtual reality nor as immediately practical as 3D printing, chatbots are nevertheless gaining major traction this year, with support coming from across the entire tech industry. The big tech enterprises are all entering the chatbot space, and many startups are too.
Out with the apps, in with the chatbots. The reason for the attention is simple: The power of the natural language processor, software that processes and parses human language, creating a simple and universal means of interacting with technology.
Developments in computing are driving the transformation of entire systems of production, management, and governance. In this interview Justine Cassell, Associate Dean, Technology, Strategy and Impact, at the School of Computer Science, Carnegie Mellon University, and co-chair of the Global Future Council on Computing, says we must ensure that these developments benefit all society, not just the wealthy or those participating in the “new economy”.
Artificial Intelligence (AI) is an important development and consumers globally will see it playing a much more prominent role — both in society and at work — next year, a new report said on Tuesday. Ericsson ConsumerLab, in its annual trend report titled “The 10 Hot Consumer Trends for 2017 and beyond”, said that 35 percent of advanced internet users want an AI advisor at work and one in four would like AI as their manager.At the same time, almost half of the respondents were concerned that AI robots will soon make a lot of people lose their jobs.
From driverless cars to robotic workers, the future is going to be here before you know it. Many emerging technologies you hear about today will reach a tipping point by 2025, according to a report from The World Economic Forum’s Global Agenda Council on the Future of Software & Society. The council surveyed more than 800 executives and experts from the technology sector to share their respective timelines for when technologies would become mainstream. From the survey results, the council identified 21 defining moments, all of which they predict will occur by 2030. Here’s a look at the technological shifts you can expect during the next 14 years.
… The first robotic pharmacist will arrive in the US 2021.
A new year is quickly approaching and Microsoft Research is offering a glimpse at what the tech scene has in store for 2017 along with some hints at the Redmond, Wash., tech giant’s own priorities for the coming year. This year, the company gathered prominent women researchers to share their thoughts on what to expect next year. Surprising nobody’s who’s been following Microsoft’s software and cloud computing strategy of late, the company is betting big on artificial intelligence (AI).
It’s still early days for the Internet of Things. As recently as 2014, 87 percent of consumers had never heard of the technology, according to Accenture. In 2016, and 19% of business and government professionals reported that they had never heard of the Internet of Things while 18% were only vaguely familiar with it, according to research from the Internet of Things Institute. Although the technology is getting the most traction in the industrial space, the most promising use cases for the technology are just starting to come to light. To get a sense of what to expect as we head into 2017, we spoke with Stanford lecturer and IoT author Timothy Chou, Ph.D.; Thulium.co CEO Tamara McCleary; industry observer and influencer Evan Kirstel; and Sandy Carter, CEO and founder of Silicon-Blitz.
UK government is driving the artificial intelligence agenda, pinpointing it as a future technology driving the fourth revolution and billing its importance on par with the steam engine.
The report on Artificial Intelligence by the Government Office for Science follows the recent House of Commons Committee report on Robotics and AI, setting out the opportunities and implications for the future of decision making. In a report which spans government deployment, ethics and the labour market, Digital Minister Matt Hancock provided a foreword which pushed AI as a technology which would benefit the economy and UK citizens.
“Ethics often falls behind the technology,” says Voithofer of Ohio State. Personal data becomes more abstract when it’s combined with other datasets or reused for multiple purposes, he adds. Say a device collects and anonymizes data about a student’s emotional patterns. Later on that information might be combined with information about her test scores and could be reassociated with her. Some students might object to colleges making judgments about their academic performance from indirect measurements of their emotional states.
A world where DNA can be rewritten to fix deadly diseases has moved a step closer after scientists announced they had genetically-edited the cells of a human for the first time using a groundbreaking technique.
A man in China was injected with modified immune cells which had been engineered to fight his lung cancer. Larger trials are scheduled to take place next year in the US and Beijing, which scientists say could open up a new era of genetic medicine.
The technique used is called Crispr, which works like tiny molecular scissors snipping away genetic code and replacing it with new instructions to build better cells.
Can you be sexually assaulted in virtual reality? And can anything be done to prevent it? Those are a few of the most pressing ethical questions technologists, investors and we the public will face as VR grows.
The scope of Alphabet’s ambition for the Google brand is clear: It wants Google’s information organizing brain to be embedded right at the domestic center — i.e. where it’s all but impossible for consumers not to feed it with a steady stream of highly personal data. (Sure, there’s a mute button on the Google Home, but the fact you have to push a button to shut off the ear speaks volumes… )
In other words, your daily business is Google’s business.
“We’re moving from a mobile-first world to an AI-first world,” said CEO Sundar Pichai…
But what’s really not OK, Google is the seismic privacy trade-offs involved here. And the way in which Alphabet works to skate over the surface of these concerns.
What he does not say is far more interesting, i.e. that in order to offer its promise of “custom convenience” — with predictions about restaurants you might like to eat at, say, or suggestions for how bad the traffic might be on your commute to work — it is continuously harvesting and data-mining your personal information, preferences, predilections, peccadilloes, prejudices… and so on and on and on. AI never stops needing data. Not where fickle humans are concerned.
Welcome to a world without work— from by Ryan Avent Automation and globalisation are combining to generate a world with a surfeit of labour and too little work
A new age is dawning. Whether it is a wonderful one or a terrible one remains to be seen. Look around and the signs of dizzying technological progress are difficult to miss. Driverless cars and drones, not long ago the stuff of science fiction, are now oddities that can occasionally be spotted in the wild and which will soon be a commonplace in cities around the world.
From DSC: I don’t see a world without work being good for us in the least. I think we humans need to feel that we are contributing to something. We need a purpose for living out our days here on Earth (even thoughthey are but a vapor). We need vision…goals to works towards as we seek to use the gifts, abilities, passions, and interests that the LORD gave to us. The author of the above article would also add that work:
Is a source of personal identity
It helps give structure to our days and our lives
It offers the possibility of personal fulfillment that comes from being of use to others
Is a critical part of the glue that holds society together and smooths its operation
Over the last generation, work has become ever less effective at performing these roles. That, in turn, has placed pressure on government services and budgets, contributing to a more poisonous and less generous politics. Meanwhile, the march of technological progress continues, adding to the strain.
We live in an age of transformative scientific powers, capable of changing the very nature of the human species and radically remaking the planet itself.
Advances in information technologies and artificial intelligence are combining with advances in the biological sciences; including genetics, reproductive technologies, neuroscience, synthetic biology; as well as advances in the physical sciences to create breathtaking synergies — now recognized as the Fourth Industrial Revolution.
Since these technologies will ultimately decide so much of our future, it is deeply irresponsible not to consider together whether and how to deploy them. Thankfully there is growing global recognition of the need for governance.
This then leads to the ethical implications of using robots. Embracing a number of areas of research, robot ethics considers whether the use of a device within a particular field is acceptable and also whether the device itself is behaving ethically. When it comes to robot babies there are already a number of issues that are apparent. Should “parents” be allowed to choose the features of their robot, for example? How might parents be counseled when returning their robot baby? And will that baby be used again in the same form?
Late last month, popular websites like Twitter, Pinterest, Reddit and PayPal went down for most of a day. The distributed denial-of-service attack that caused the outages, and the vulnerabilities that made the attack possible, was as much a failure of market and policy as it was of technology. If we want to secure our increasingly computerized and connected world, we need more government involvement in the security of the “Internet of Things” and increased regulation of what are now critical and life-threatening technologies. It’s no longer a question of if, it’s a question of when.
An additional market failure illustrated by the Dyn attack is that neither the seller nor the buyer of those devices cares about fixing the vulnerability. The owners of those devices don’t care. They wanted a webcam — or thermostat, or refrigerator — with nice features at a good price. Even after they were recruited into this botnet, they still work fine — you can’t even tell they were used in the attack. The sellers of those devices don’t care: They’ve already moved on to selling newer and better models. There is no market solution because the insecurity primarily affects other people. It’s a form of invisible pollution.
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Which of today’s emerging technologies have a chance at solving a big problem and opening up new opportunities? Here are our picks. The 10 on this list all had an impressive milestone in the past year or are on the verge of one. These are technologies you need to know about right now.
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The Cleveland Clinic has partnered with Case Western Reserve University to release a Microsoft HoloLens app that allows users to explore the human body using augmented reality technology. The HoloLens is a headset that superimposes computer generated 3D graphics onto a person’s field of view, essentially blending reality with virtual reality.
The HoloAnatomy app lets people explore a virtual human, to walk around it looking at details of different systems of the body, and to select which are showing. Even some sounds are replicated, such as that of the beating heart.
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Our findings target four areas: interdisciplinary collaboration, online educational technologies, the profession of the learning engineer, and institutional and organizational change. Focused attention in these areas could significantly advance our understanding of the opportunities and challenges in transforming education.
Recommendation 1: Increase Interdisciplinary Collaboration Across Fields of Research in Higher Education, Using an Integrated Research Agenda
Recommendation 2: Promote Online as an Important Facilitator in Higher Education
Recommendation 3: Support the Expanding Profession of the “Learning Engineer”
Recommendation 4: Foster Institutional and Organizational Change in Higher Education to Implement These Reforms
A new MIT report on online education policy draws on diverse fields, from socioeconomics to cognitive science, to analyze the current state of higher education and consider how advances in learning science and online technology might shape its future.
Titled “Online Education: A Catalyst for Higher Education Reform,” the report presents four overarching recommendations, stressing the importance of interdisciplinary collaboration, integration between online and traditional learning, a skilled workforce specializing in digital learning design, and high-level institutional and organizational change.
“There’s so much going on in online education, and it’s moving so quickly, that it’s important to take time to reflect,” says Eric Klopfer, a key participant in the initiative, who is a professor of education and directs the MIT Scheller Teacher Education Program. “One of the goals of the report is to try to help frame the discussion and to pull together some of the pieces of the conversation that are taking place in different arenas but are not necessarily considered in an integrated way,” Willcox says.
“We believe that there is a new category of professionals emerging from all this,” Sarma says. “We use the term ‘learning engineer,’ but maybe it’s going to be some other term — who knows?”
These “learning engineers” would have expertise in a discipline as well as in learning science and educational technologies, and would integrate knowledge across fields to design and optimize learning experiences.
“It’s important that this cadre of professionals get recognized as a valuable profession and provided with opportunities for advancement,” Willcox says. “Without people like this, we’re not going to make a transformation in education.”
Finally, the report recommends mechanisms to stimulate high-level institutional and organizational change to support the transformation of the industry, such as nurturing change agents and role models, and forming thinking communities to evaluate reform options.
“Policy makers and decision makers at institutions need to be proactive in thinking about this,” says Willcox. “There’s a lot to be learned by looking at industries that have seen this kind of transformation, particularly transformations brought on by digital technologies.”
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Technology will not solve the problems that healthcare faces globally today. And the human touch alone is not enough any more, therefore a new balance is needed between using disruptive innovations but still keeping the human interaction between patients and caregivers. Here are 10 technologies and trends that could enable this.
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From DSC: I recently met Maaroof Fakhri at theNext Generation Learning Spaces Conference. It was a pleasure to meet him and hear him speak of the work they are doing at Labster (which is located in Denmark). He is very innovative, and he shines forth with a high degree of energy, creativity, and innovation.
Keep an eye on the work they are doing. Very sharp.
Learnathons, on the other hand are optimized sessions that teach participants how to apply what they learn as soon as possible. They are on the opposite end of how classroom teaching is organized, with lessons spread out over the course of a semester focusing on theory and weekly practice. They are a fairly new concept, but have created an environment for learning that is speeding up comprehension and application to levels that aren’t seen elsewhere.
Making high school science labs more real, more engaging, and more accessible Remote Online laboratories (iLabs) are experimental facilities that can be accessed through the Internet, allowing students and educators to carry out experiments from anywhere at any time.
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The world of learning and development is on the cusp of change. One of the most promising—and prominent—paradigms comes from neuroscience. Go to any conference today in the workplace learning field and there are numerous sessions on neuroscience and brain-based learning. Vendors sing praises to neuroscience. Articles abound. Blog posts proliferate.
But where are we on the science? Have we gone too far? Is this us, the field of workplace learning, once again speeding headlong into a field of fad and fantasy? Or are we spot-on to see incredible promise in bringing neuroscience wisdom to bear on learning practice? In this article, I will describe where we are with neuroscience and learning—answering that question as it relates to this point in time—in January of 2016.
Taken together, these conclusions are balanced between the promise of neuroscience and the healthy skepticism of scientists. Note however, that when these researchers talk about the benefits of neuroscience for learning, they see neuroscience applications as happening in the future (perhaps the near future). They do NOT claim that neuroscience has already created a body of knowledge that is applicable to learning and education.
… Conclusion The field of workplace learning—and the wider education field—have fallen under the spell of neuroscience (aka brain-science) recommendations. Unfortunately, neuroscience has not yet created a body of proven recommendations.While offering great promise for the future, as of this writing—in January 2016—most learning professionals would be better off relying on proven learning recommendations from sources like Brown, Roediger, and McDaniel’s book Make It Stick; by Benedict Carey’s book How We Learn; and by Julie Dirksen’s book Design for How People Learn.
As learning professionals, we must be more skeptical of neuroscience claims. As research and real-world experience has shown, such claims can persuade us toward ineffective learning designs and unscrupulous vendors and consultants.
Our trade associations and industry thought leaders need to take a stand as well. Instead of promoting neuroscience claims, they ought to voice a healthy skepticism.
From DSC: Below are some further items that discuss the need for some frameworks, policies, institutes, research, etc. that deal with a variety of game-changing technologies that are quickly coming down the pike (if they aren’t already upon on). We need such things to help us create a positive future.
What kind of future do we want? How are we going to insure that we get there?
As the saying goes…”Just because we can do something, doesn’t mean we should.” Or another saying comes to my mind…”What could possibly go wrong with this? It’s a done deal.”
While some of the items below should have very positive impacts on society, I do wonder how long it will take the hackers — the ones who are bent on wreaking havoc — to mess up some of these types of applications…with potentially deadly consequences? Security-related concerns must be dealt with here.
Venter is leading efforts to use digital technology to analyze humans in ways we never have before, and the results will have huge implications for society. The latest findings he described are currently being written up for scientific publications. Venter didn’t want to usurp the publications, so he wouldn’t dive into extensive detail of how his team has made these breakthroughs. But what he did share offers an exciting and concerning overview of what lies ahead for humanity. There are social, legal and ethical implications to start considering.Here are five examples of how digitizing DNA will change the human experience:
Conducting cyber defensive operations, electronic warfare, and over-the-horizon targeting. “You cannot have a human operator operating at human speed fighting back at determined cyber tech,” Work said. “You are going to need have a learning machine that does that.” He did not say whether the Pentagon is pursuing the autonomous or automatic deployment of offensive cyber capabilities, a controversial idea to be sure. He also highlighted a number of ways that artificial intelligence could help identify new waveforms to improve electronic warfare.
Last week more than 150 scientists and campaigners called for a worldwide ban on the practice, claiming it could ‘irrevocably alter the human species’ and lead to a world where inequality and discrimination were ‘inscribed onto the human genome.’
But at a conference in London [on 12/8/15], Sir Mark Walport, who advises the government on scientific matters, said he believed there were ‘circumstances’ in which the genetic editing of human embyros could be ‘acceptable’.
Engineers have succeeded in combining an integrated chip with an artificial lipid bilayer membrane containing ATP-powered ion pumps, paving the way for more such artificial systems that combine the biological with the mechanical down the road.
Data analysts Nomura Research Institute (NRI), led by researcher Yumi Wakao, figure that within the next 20 years, nearly half of all jobs in Japan could be accomplished by robots. Working with Professor Michael Osborne from Oxford University, who had previously investigated the same matter in both the US and UK, the NRI team examined more than 600 jobs and found that “up to 49 percent of jobs could be replaced by computer systems,” according to Wakao.
Cambridge University announced on [12/3/15] that it is opening a new £10 million research centre to study the impact of artificial intelligence on humanity.
The 806-year-old university said the centre, being funded with a grant from non-profit foundation The Leverhulme Trust, will explore the opportunities and challenges facing humanity as a result of further developments in artificial intelligence.
2016 will be a pivotal year for social robots — from therobotreport.com by Frank Tobe 1,000 Peppers are selling each month from a big-dollar venture between SoftBank, Alibaba and Foxconn; Jibo just raised another $16 million as it prepares to deliver 7,500+ units in Mar/Apr of 2016; and Buddy, Rokid, Sota and many others are poised to deliver similar forms of social robots.
These new robots, and the proliferation of mobile robot butlers, guides and kiosks, promise to recognize your voice and face and help you plan your calendar, provide reminders, take pictures of special moments, text, call and videoconference, order fast food, keep watch on your house or office, read recipes, play games, read emotions and interact accordingly, and the list goes on. They are attempting to be analogous to a sharp administrative assistant that knows your schedule, contacts and interests and engages with you about them, helping you stay informed, connected and active.
IBM opens its artificial mind to the world— from fastcompany.com by Sean Captain IBM is letting companies plug into its Watson artificial intelligence engine to make sense of speech, text, photos, videos, and sensor data.
Artificial intelligence is the big, oft-misconstrued catchphrase of the day, making headlines recently with the launch of the new OpenAI organization, backed by Elon Musk, Peter Thiel, and other tech luminaries. AI is neither a synonym for killer robots nor a technology of the future, but one that is already finding new signals in the vast noise of collected data, ranging from weather reports to social media chatter to temperature sensor readings. Today IBM has opened up new access to its AI system, called Watson, with a set of application programming interfaces (APIs) that allow other companies and organizations to feed their data into IBM’s big brain for analysis.
By 2020, there will be over 50 billion connected devices generating continuous data.
This figure is staggering, but is it really a surprise? The world has come a long way from 1992, when the number of computers was roughly equivalent to the population of San Jose. Today, in 2015, there are more connected devices out there than there are human beings. Ubiquitous connectivity is very nearly a reality. Every day, we get a little closer to a time where businesses, governments and consumers are connected by a fluid stream of data and analytics. But what’s driving all this growth?
A wide-eyed, rosy-cheeked, babbling human baby hardly looks like the ultimate learning machine.
But under the hood, an 18-month-old can outlearn any state-of-the-art artificial intelligence algorithm.
Their secret sauce?
They watch; they imitate; and they extrapolate.
Artificial intelligence researchers have begun to take notice. This week, two separate teams dipped their toes into cognitive psychology and developed new algorithms that teach machines to learn like babies. One instructs computers to imitate; the other, to extrapolate.
An international team of data scientists is proud to announce the very latest in machine learning: they’ve built a program that learns… programs. That may not sound impressive at first blush, but making a machine that can learn based on a single example is something that’s been extremely hard to do in the world of artificial intelligence. Machines don’t learn like humans—not as fast, and not as well. And even with this research, they still can’t.
Artificial intelligence has undoubtedly come a long way in the last few years, but there is still much to be done to make it intuitive to use. IBM’s Watson has been one of the most well known exponents during this time, but despite it’s initial success, there are issues to overcome with it.
A team led by Georgia Tech are attempting to do just that. They’re looking to train Watson to get better at returning answers to specific queries.
As these machines inevitably connect to the Internet, they will ultimately connect to each other so they can share, and collaborate on their own findings. In fact, in 2014 machines got their own ”World Wide Web” called RoboEarth, in which to share knowledge with one another. …
The implications of all of this are at minimum twofold:
The way we generate knowledge is going to change dramatically in the coming years.
Knowledge is about to increase at an exponential rate.
What we choose to do with this newfound knowledge is of course up to us. We are about to face some significant challenges at scales we have yet to experience.
NEW YORK — Computer researchers reported artificial-intelligence advances [on Dec 10] that surpassed human capabilities for a narrow set of vision-related tasks.
The improvements are noteworthy because so-called machine-vision systems are becoming commonplace in many aspects of life, including car-safety systems that detect pedestrians and bicyclists, as well as in video game controls, Internet search and factory robots.
Novo Nordisk A/S is teaming up with IBM Watson Health, a division of International Business Machines Corp., to create a “virtual doctor” for diabetes patients that could dispense treatment advice such as insulin dosage.
The Danish diabetes specialist hopes to use IBM’s supercomputer platform, Watson, to analyze health data from diabetes patients to help them manage their disease.
Russia and China are creating highly autonomous weapons, more commonly referred to as killer robots, and it’s putting pressure on the Pentagon to keep up, according to US Deputy Secretary of Defense Robert Work. During a national-security forum on Monday, Work said that China and Russia are heavily investing in a roboticized army, according to a report from Defense One.
At the same time, your data and personalized experiences are used to develop and train the machine learning systems that are powering the Siris, Watsons, Ms and Cortanas. Be it a speech recognition solution or a recommendation algorithm, your actions and personal data affect how these sophisticated systems learn more about you and the world around you.
The less explicit fact is that your diverse interactions — your likes, photos, locations, tags, videos, comments, route selections, recommendations and ratings — feed learning systems that could someday transform into super–intelligent AIs with unpredictable consequences.
As of today, you can’t directly affect how your personal data is used in these systems
Facewatch ‘thief recognition’ CCTV on trial in UK stores — from bbc.com Excerpts (emphasis DSC):
Face-recognition camera systems should be used by police, he tells me. “The technology’s here, and we need to think about what is a proportionate response that respects people’s privacy,” he says.
… “The public need to ask themselves: do they want six million cameras painted red at head height looking at them?