If you work in education, you’ll know there’s a HUGE array of applications, services, products and tools created to serve a multitude of functions in education.
Tools for teaching and learning, parent-teacher communication apps, lesson planning software, home-tutoring websites, revision blogs, SEN education information, professional development qualifications and more.
There are so many companies creating new products for education, though, that it can be difficult to keep up – especially with the massive volumes of planning and marking teachers have to do, never mind finding the time to actually teach!
So how do you know which ones are the best?
Well, as a team of people passionate about education and learning, we decided to do a bit of research to help you out.
We’ve asked some of the best and brightest in education for their opinions on the hottest EdTech of 2017. These guys are the real deal – experts in education, teaching and new tech from all over the world from England to India, to New York and San Francisco.
They’ve given us a list of 82 amazing, tried and tested tools…
From DSC: The ones that I mentioned that Giorgio included in his excellent article were:
AdmitHub – Free, Expert College Admissions Advice
Labster – Empowering the Next Generation of Scientists to Change the World
The Enterprise Gets Smart Companies are starting to leverage artificial intelligence and machine learning technologies to bolster customer experience, improve security and optimize operations.
Excerpt:
Assembling the right talent is another critical component of an AI initiative. While existing enterprise software platforms that add AI capabilities will make the technology accessible to mainstream business users, there will be a need to ramp up expertise in areas like data science, analytics and even nontraditional IT competencies, says Guarini.
“As we start to see the land grab for talent, there are some real gaps in emerging roles, and those that haven’t been as critical in the past,” Guarini says, citing the need for people with expertise in disciplines like philosophy and linguistics, for example. “CIOs need to get in front of what they need in terms of capabilities and, in some cases, identify potential partners.”
Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.
Research Issues
1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.
2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:
How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
How can we grow our prosperity through automation while maintaining people’s resources and purpose?
How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
What set of values should AI be aligned with, and what legal and ethical status should it have?
3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.
4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.
5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.
Ethics and Values
6) Safety: AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible.
7) Failure Transparency: If an AI system causes harm, it should be possible to ascertain why.
8) Judicial Transparency: Any involvement by an autonomous system in judicial decision-making should provide a satisfactory explanation auditable by a competent human authority.
9) Responsibility: Designers and builders of advanced AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.
10) Value Alignment: Highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation.
11) Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.
12) Personal Privacy: People should have the right to access, manage and control the data they generate, given AI systems’ power to analyze and utilize that data.
13) Liberty and Privacy: The application of AI to personal data must not unreasonably curtail people’s real or perceived liberty.
14) Shared Benefit: AI technologies should benefit and empower as many people as possible.
15) Shared Prosperity: The economic prosperity created by AI should be shared broadly, to benefit all of humanity.
16) Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.
17) Non-subversion: The power conferred by control of highly advanced AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.
18) AI Arms Race: An arms race in lethal autonomous weapons should be avoided.
Longer-term Issues
19) Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.
20) Importance: Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.
21) Risks: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.
22) Recursive Self-Improvement: AI systems designed to recursively self-improve or self-replicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.
23) Common Good: Superintelligence should only be developed in the service of widely shared ethical ideals, and for the benefit of all humanity rather than one state or organization.
Excerpts:
Creating human-level AI: Will it happen, and if so, when and how? What key remaining obstacles can be identified? How can we make future AI systems more robust than today’s, so that they do what we want without crashing, malfunctioning or getting hacked?
Panel with Anca Dragan (Berkeley), Demis Hassabis (DeepMind), Guru Banavar (IBM), Oren Etzioni (Allen Institute), Tom Gruber (Apple), Jürgen Schmidhuber (Swiss AI Lab), Yann LeCun (Facebook/NYU), Yoshua Bengio (Montreal) (video)
Superintelligence: Science or fiction? If human level general AI is developed, then what are likely outcomes? What can we do now to maximize the probability of a positive outcome? (video)
Panel with Bart Selman (Cornell), David Chalmers (NYU), Elon Musk (Tesla, SpaceX), Jaan Tallinn (CSER/FLI), Nick Bostrom (FHI), Ray Kurzweil (Google), Stuart Russell (Berkeley), Sam Harris, Demis Hassabis (DeepMind): If we succeed in building human-level AGI, then what are likely outcomes? What would we like to happen?
Panel with Dario Amodei (OpenAI), Nate Soares (MIRI), Shane Legg (DeepMind), Richard Mallah (FLI), Stefano Ermon (Stanford), Viktoriya Krakovna (DeepMind/FLI): Technical research agenda: What can we do now to maximize the chances of a good outcome? (video)
Law, policy & ethics: How can we update legal systems, international treaties and algorithms to be more fair, ethical and efficient and to keep pace with AI?
For years, Finland has loitered in the upper echelons of global literacy and numeracy tables, leading politicians from other Western nations to see its education system as a model of inspiration. Why, then, is the Finnish government submitting it to a radical overhaul?
Dr. Marjo Kyllonen is the Education Manager for Helsinki. Having devised the blueprint for the future of Finland’s school system, she is playing a pivotal role in driving these changes through. She is doing so because she sees the structure and aims of current education systems in the West as increasingly irrelevant and obsolete, relics of an Industrial Age that we started to leave behind a long time ago. She argues that we need to rethink our entire relationship to education to equip future generations with the tools they need to face the challenges to come –challenges such as climate collapse, automated workforces, urbanisation and social division. The key to her blueprint is an emphasis on collaborative, holistic, “phenomenon” teaching – a routine that is less beholden to traditional subject-based learning and instead teaches pupils to work together to deal with problems they will face in their everyday lives, including those they encounter online and in the digital world.
Other:
If schools were invented today, what would they be like?
Instead of studying different subjects in isolation, learning should be anchored to real-life phenomena, things that kids see around them, so they see the connection between what they’re learning and real life. The traditional way of teaching isolated subjects with a teacher as the sole oracle of knowledge is widening the gap between the lives kids are living today and what they do at school.
So we have to think, what skills will people need in 60 years? Life is not split into subjects, so why is learning? What is more crucial for future society is cross-disciplinary thinking; all the experts say that the big problems of tomorrow won’t be solved if you only have one approach.
From DSC: Whether one agrees with Marjo or not, her assertions are very thought provoking. I really enjoyed reading this piece.
From DSC: Given the exponential pace of technological change that many societies throughout the globe are now on, we need some tools to help us pulse-check what’s going on in the relevant landscapes that we are trying to scan.
Below, I would like to suggest 2 methods/tools to do this. I have used both methods for years, and I have found them to be immensely helpful in pulse-checking the landscapes. Perhaps these tools will be helpful to you — or to your students or employees — as well. I vote for these 2 tools to be a part of all of our learning ecosystems. (And besides, they also encourage micro-learning while helping us spot emerging trends.)
This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and develop machine intelligence. Even more specifically, it is an invitation to collaborate in the construction of a Periodic Table of AI.
Let’s be honest. Thinking about Artificial Intelligence has proven to be difficult for us. We argue constantly about what is and is not AI. We certainly cannot agree on how to test for it. We have difficultly deciding what technologies should be included within it. And we struggle with how to evaluate it.
Even so, we are looking at a future in which intelligent technologies are becoming commonplace.
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With that in mind, we propose an approach to viewing machine intelligence from the perspective of its functional components. Rather than argue about the technologies behind them, the focus should be on the functional elements that make up intelligence. By stepping away from howthese elements are implemented, we can talk about whatthey are and their roles within larger systems.
Also see this article, which contains the graphic below:
From DSC: These graphics are helpful to me, as they increase my understanding of some of the complexities involved within the realm of artificial intelligence.
WHEN education fails to keep pace with technology, the result is inequality. Without the skills to stay useful as innovations arrive, workers suffer—and if enough of them fall behind, society starts to fall apart.That fundamental insight seized reformers in the Industrial Revolution, heralding state-funded universal schooling. Later, automation in factories and offices called forth a surge in college graduates. The combination of education and innovation, spread over decades, led to a remarkable flowering of prosperity.
Today robotics and artificial intelligence call for another education revolution. This time, however, working lives are so lengthy and so fast-changing that simply cramming more schooling in at the start is not enough. People must also be able to acquire new skills throughout their careers.
Unfortunately, as our special report in this issue sets out, the lifelong learning that exists today mainly benefits high achievers—and is therefore more likely to exacerbate inequality than diminish it. If 21st-century economies are not to create a massive underclass, policymakers urgently need to work out how to help all their citizens learn while they earn. So far, their ambition has fallen pitifully short.
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At the same time on-the-job training is shrinking. In America and Britain it has fallen by roughly half in the past two decades. Self-employment is spreading, leaving more people to take responsibility for their own skills. Taking time out later in life to pursue a formal qualification is an option, but it costs money and most colleges are geared towards youngsters.
The classic model of education—a burst at the start and top-ups through company training—is breaking down. One reason is the need for new, and constantly updated, skills.
Lifelong learning is becoming an economic imperative— from economist.com Technological change demands stronger and more continuous connections between education and employment, says Andrew Palmer. The faint outlines of such a system are now emerging
Excerpt:
A college degree at the start of a working career does not answer the need for the continuous acquisition of new skills, especially as career spans are lengthening. Vocational training is good at giving people job-specific skills, but those, too, will need to be updated over and over again during a career lasting decades. “Germany is often lauded for its apprenticeships, but the economy has failed to adapt to the knowledge economy,” says Andreas Schleicher, head of the education directorate of the OECD, a club of mostly rich countries. “Vocational training has a role, but training someone early to do one thing all their lives is not the answer to lifelong learning.”
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To remain competitive, and to give low- and high-skilled workers alike the best chance of success, economies need to offer training and career-focused education throughout people’s working lives. This special report will chart some of the efforts being made to connect education and employment in new ways, both by smoothing entry into the labour force and by enabling people to learn new skills throughout their careers. Many of these initiatives are still embryonic, but they offer a glimpse into the future and a guide to the problems raised by lifelong reskilling.
Individuals, too, increasingly seem to accept the need for continuous rebooting.
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
Excerpt:
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.
Immune Engineering
Genetically engineered immune cells are saving the lives of cancer patients. That may be just the start.
Precise Gene Editing in Plants
CRISPR offers an easy, exact way to alter genes to create traits such as disease resistance and drought tolerance.
Conversational Interfaces
Powerful speech technology from China’s leading Internet company makes it much easier to use a smartphone.
Reusable Rockets
Rockets typically are destroyed on their maiden voyage. But now they can make an upright landing and be refueled for another trip, setting the stage for a new era in spaceflight.
Robots That Teach Each Other
What if robots could figure out more things on their own and share that knowledge among themselves?
DNA App Store
An online store for information about your genes will make it cheap and easy to learn more about your health risks and predispositions.
SolarCity’s Gigafactory
A $750 million solar facility in Buffalo will produce a gigawatt of high-efficiency solar panels per year and make the technology far more attractive to homeowners.
Slack
A service built for the era of mobile phones and short text messages is changing the workplace.
Tesla Autopilot
The electric-vehicle maker sent its cars a software update that suddenly made autonomous driving a reality.
Power from the Air
Internet devices powered by Wi-Fi and other telecommunications signals will make small computers and sensors more pervasive
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.
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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?
China’s policing robot: Cattle prod meets supercomputer— from computerworld.com by Patrick Thibodeau China’s fastest supercomputers have some clear goals, namely development of its artificial intelligence, robotics industries and military capability, says the U.S.
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.
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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.
SAN FRANCISCO, Nov. 9, 2016 /PRNewswire/ — IBM (NYSE: IBM) today unveiled the experimental release of Project Intu, a new, system-agnostic platform designed to enable embodied cognition. The new platform allows developers to embed Watson functions into various end-user device form factors, offering a next generation architecture for building cognitive-enabled experiences.
Project Intu, in its experimental form, is now accessible via the Watson Developer Cloud and also available on Intu Gateway and GitHub.
SAN FRANCISCO, Nov. 9, 2016 /PRNewswire/ — At the IBM (NYSE: IBM) Watson Developer Conference, IBM announced a partnership with Topcoder, the premier global software development community comprised of more than one million designers, developers, data scientists, and competitive programmers, to advance learning opportunities for cognitive developers who are looking to harness the power of Watson to create the next generation of artificial intelligence apps, APIs, and solutions. This partnership also benefits businesses that gain access to an increased talent pool of developers through the Topcoder Marketplace with experience in cognitive computing and Watson.
5 Ways Artificial Intelligence Is Shaping the Future of E-commerce — from entrepreneur.com by Sheila Eugenio Paradoxically for a machine, AI’s greatest strength may be in creating a more personal experience for your customer. From product personalization to virtual personal shoppers.
Excerpt:
Here are three ways AI will impact e-commerce in the coming years:
Getting kids interested in STEM subjects is an ongoing challenge, and Teacher Advisor with Watson, a free tool, will help elementary school teachers match materials with student needs. In its first phase, it’s being used by 200 teachers, assisting them in creating math lessons that engage students and help them learn. The plan is to roll it out to all U.S. elementary schools by year end. As time goes on, Watson will learn from teacher feedback and improve its recommendations. There is, Rometty said, an opportunity to also build in professional development resources.
Even professional lip-readers can figure out only 20% to 60% of what a person is saying. Slight movements of a person’s lips at the speed of natural speech are immensely difficult to reliably understand, especially from a distance or if the lips are obscured. And lip-reading isn’t just a plot point in NCIS: It’s an essential tool to understand the world for the hearing-impaired, and if automated reliably, could help millions.
A new paper (pdf) from the University of Oxford (with funding from Alphabet’s DeepMind) details an artificial intelligence system, called LipNet, that watches video of a person speaking and matches text to the movement of their mouth with 93.4% accuracy.
500 Years Later: Why the Reformation Still Matters
Poverty and Profit in the American City
Race, Trauma, and the Doctrine of Discovery
Closing the Gender Gap in Technology
Tinkering in Today’s Healthcare Factories: Pursuing the Renewal of Medicine
Until All Are Free: A Look at Slavery Today and the Church’s Invitation to End It
I’ll Push You: A Story of Radical Friendship, Overcoming Challenges and the Power of Community
The EU and Global Governance
The Very Good Gospel: How Everything Wrong Can Be Made Right
How Did We Get Here? A Historical Perspective on Our Wild 2016 Election
How to Find and Live Your Calling: Lessons from the Psychology of Vocation
The World is a Scary Place, Love Anyway
The Royal Revolution: Fresh Perspectives on the Cross
American Violinist in Concert
Overrated: Are We More in Love with the Idea of Changing the World than Actually Changing the World?
You don’t have to physically attend these presentations in order to benefit from them, as the majority of these presentations will be streamed live over the Internet (audio only). So plan now to attend (physically or virtually) one or more of these excellent talks.
LAS VEGAS, Oct. 25, 2016 /PRNewswire/ — IBM (NYSE: IBM) and Pearson (FTSE: PSON) the world’s learning company, today announced a new global education alliance intended to make Watson’s cognitive capabilities available to millions of college students and professors.
Combining IBM’s cognitive capabilities with Pearson’s digital learning products will give students a more immersive learning experience with their college courses, an easy way to get help and insights when they need it, all through asking questions in natural language just like they would with another student or professor. Importantly, it provides instructors with insights about how well students are learning, allowing them to better manage the entire course and flag students who need additional help.
For example, a student experiencing difficulty while studying for a biology course can query Watson, which is embedded in the Pearson courseware. Watson has already read the Pearson courseware content and is ready to spot patterns and generate insights. Serving as a digital resource, Watson will assess the student’s responses to guide them with hints, feedback, explanations and help identify common misconceptions, working with the student at their pace to help them master the topic.
Online education platform Udacity has partnered with IBM Watson to launch a new artificial intelligence (AI) Nanodegree program.
Costing $1,600 for the full two-term, 26-week course, the AI Nanodegree covers a myriad of topics including logic and planning, probabilistic inference, game-playing / search, computer vision, cognitive systems, and natural language processing (NLP). It’s worth noting here that Udacity already offers an Intro to Artificial Intelligence (free) course and the Machine Learning Engineer Nanodegree, but with the A.I. Nanodegree program IBM Watson is seeking to help give developers a “foundational understanding of artificial intelligence,” while also helping graduates identify job opportunities in the space.
As artificial intelligence (AI) begins to power more technology across industries, it’s been truly exciting to see what our community of developers can create with Watson. Developers are inspiring us to advance the technology that is transforming society, and they are the reason why such a wide variety of businesses are bringing cognitive solutions to market.
With AI becoming more ubiquitous in the technology we use every day, developers need to continue to sharpen their cognitive computing skills. They are seeking ways to gain a competitive edge in a workforce that increasingly needs professionals who understand how to build AI solutions.
It is for this reason that today at World of Watson in Las Vegas we announced with Udacity the introduction of a Nanodegree program that incorporates expertise from IBM Watson and covers the basics of artificial intelligence. The “AI Nanodegree” program will be helpful for those looking to establish a foundational understanding of artificial intelligence. IBM will also help aid graduates of this program with identifying job opportunities.
Announced today at World of Watson, and as Rob High outlined in the first post in this series, IBM has partnered with Udacity to develop a nanodegree in artificial intelligence. Rob discussed IBM’s commitment to empowering developers to learn more about cognitive computing and equipping them with the educational resources they need to build their careers in AI.
To continue on this commitment, I’m excited to announce another new program today geared at college students that we’ve launched with Kivuto Solutions, an academic software distributor. Via Kivuto’s popular digital resource management platform, students and academics around the world will now gain free access to the complete IBM Bluemix Portfolio — and specifically, Watson. This offers students and faculty at any accredited university – as well as community colleges and high schools with STEM programs – an easy way to tap into Watson services. Through this access, teachers will also gain a better means to create curriculum around subjects like AI.
LAS VEGAS, Oct. 25, 2016 /PRNewswire/ — IBM (NYSE:IBM) today unveiled a series of new cognitive solutions intended for professionals in marketing, commerce, supply chain and human resources. With these new offerings, IBM is enabling organizations across all industries and of all sizes to integrate new cognitive capabilities into their businesses.
Watson solutions learn in an expert way, which is critical for professionals that want to uncover insights hidden in their massive amounts of data to understand, reason and learn about their customers and important business processes. Helping professionals augment their existing knowledge and experience without needing to engage a data analyst empowers them to make more informed business decisions, spot opportunities and take action with confidence.
“IBM is bringing Watson cognitive capabilities to millions of professionals around the world, putting a trusted advisor and personal analyst at their fingertips,” said Harriet Green, general manager Watson IoT, Cognitive Engagement & Education. “Similar to the value that Watson has brought to the world of healthcare, cognitive capabilities will be extended to professionals in new areas, helping them harness the value of the data being generated in their industries and use it in new ways.”
IBM says new Watson Data Platform will ‘bring machine learning to the masses’ — from techrepublic.com by Hope Reese On Tuesday, IBM unveiled a cloud-based AI engine to help businesses harness machine learning. It aims to give everyone, from CEOs to developers, a simple platform to interpret and collaborate on data.
Excerpt:
“Insight is the new currency for success,” said Bob Picciano, senior vice president at IBM Analytics. “And Watson is the supercharger for the insight economy.”
Picciano, speaking at the World of Watson conference in Las Vegas on Tuesday, unveiled IBM’s Watson Data Platform, touted as the “world’s fastest data ingestion engine and machine learning as a service.”
The cloud-based Watson Data Platform, will “illuminate dark data,” said Picciano, and will “change everything—absolutely everything—for everyone.”
See the #IBMWoW hashtagon Twitter for more news/announcements coming from IBM this week:
Previous postings from earlier this month:
IBM Watson’s latest gig: Improving cancer treatment with genomic sequencing — from techrepublic.com by Alison DeNisco A new partnership between IBM Watson Health and Quest Diagnostics will combine Watson’s cognitive computing with genetic tumor sequencing for more precise, individualized cancer care.
IBM launches industry first Cognitive-IoT ‘Collaboratory’ for clients and partners Excerpt:
IBM have unveiled an €180 million investment in a new global headquarters to house its Watson Internet of Things business. Located in Munich, the facility will promote new IoT capabilities around Blockchain and security as well as supporting the array of clients that are driving real outcomes by using Watson IoT technologies, drawing insights from billions of sensors embedded in machines, cars, drones, ball bearings, pieces of equipment and even hospitals. As part of a global investment designed to bring Watson cognitive computing to IoT, IBM has allocated more than $200 million USD to its global Watson IoT headquarters in Munich. The investment, one of the company’s largest ever in Europe, is in response to escalating demand from customers who are looking to transform their operations using a combination of IoT and Artificial Intelligence technologies. Currently IBM has 6,000 clients globally who are tapping Watson IoT solutions and services, up from 4,000 just 8 months ago.
And yet it is this spot – a corner of the sprawling city of Naples that never quite recovered after a major food-packing factory shut its doors in the 1980s – where the Apple chief executive, Tim Cook, and the Italian prime minister, Matteo Renzi, hope the best and brightest young minds in the world will come to develop into leaders in the new app economy.
This week, Apple, the biggest technology company in the world, will open a new academy here – the first of its kind – that will teach 200 mostly southern Italian students how to write code and launch apps on Apple technology by the end of the year.
Apple moves UK HQ to Battersea power station boiler room in London
Read more
Each student at the iOS Developer Academy will be handed the latest iPhone, iPad and Macbook at the start of the nine-month course, which is being offered free of charge following a joint investment of about €10m by Apple and University of Naples Federico II, one of the oldest universities in the world, which is hosting the tuition.
2016 has been promoted as the year of virtual reality. In the space of a few months, we have seen brands like Facebook, Samsung and Sony have all come out with VR products of their own. But another closely related industry has been making a growing presence in the tech industry. Augmented reality, or simply AR, is gaining ground among tech companies and even consumers. Google was the first contender for coolest AR product with its Google Glass. Too bad that did not work out; it felt like a product too ahead of its time. Companies like Microsoft, Magic Leap and even Apple are hoping to pick up from where Google left off. They are creating their own smart glasses that will, hopefully, do better than Google Glass. In our article, we look at some of the coolest Augmented Reality smart glasses around.
Some of them are already out while others are in development.
It’s no secret that we here at Labster are pretty excited about VR. However, if we are to successfully introduce VR into education and training we need to know how to create VR simulations that unlock these new great ways of learning.
Christian Jacob and Markus Santoso are trying to re-create the experience of the aforementioned agents in Fantastic Voyage. Working with 3D modelling company Zygote, they and recent MSc graduate Douglas Yuen have created HoloCell, an educational software. Using Microsoft’s revolutionary HoloLens AR glasses, HoloCell provides a mixed reality experience allowing users to explore a 3D simulation of the inner workings, organelles, and molecules of a healthy human cell.
Upload is teaming up with Udacity, Google and HTC to build an industry-recognized VR certification program.
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According to Udacity representatives, the organization will now be adding a VR track to its “nanodegree”program. Udacity’s nanodegrees are certification routes that can be completed completely online at a student’s own pace. These courses typically take between 6-12 months and cost $199 per month. Students will also receive half of their tuition back if they complete a course within six months. The new VR course will follow this pattern as well.
The VR nanodegree program was curated by Udacity after the organization interviewed dozens of VR savvy companies about the type of skills they look for in a potential new hire. This information was then built into a curriculum through a joint effort between Google, HTC and Upload.
Virtual reality helps Germany catch last Nazi war criminals — from theguardian.com by Agence France-Presse Lack of knowledge no longer an excuse as precise 3D model of Auschwitz, showing gas chambers and crematoria, helps address atrocities
Excerpt:
German prosecutors and police have developed 3D technology to help them catch the last living Nazi war criminals with a highly precise model of Auschwitz.
German prosecutors and police have begun using virtual reality headsets in their quest to bring the last remaining Auschwitz war criminals to justice, AFP reported Sunday.
Using the blueprints of the death camp in Nazi-occupied Poland, Bavarian state crime office digital imaging expert Ralf Breker has created a virtual reality model of Auschwitz which allows judges and prosecutors to mimic moving around the camp as it stood during the Holocaust.
Technology is hoping to turn empathy into action. Or at least, the United Nations is hoping to do so. The intergovernmental organization is more than seven decades old at this point, but it’s constantly finding new ways to better the world’s citizenry. And the latest tool in its arsenal? Virtual reality.
Last year, the UN debuted its United Nations Virtual Reality, which uses the technology to advocate for communities the world over. And more recently, the organization launched an app made specifically for virtual reality films. First debuted at the Toronto International Film Festival, this app encourages folks to not only watch the UN’s VR films, but to then take action by way of donations or volunteer work.
If you’re an Apple user and want an untethered virtual reality system, you’re currently stuck with Google Cardboard, which doesn’t hold a candle to the room scale VR provided by the HTC Vive (a headset not compatible with Macs, by the way). But spatial computing company Occipital just figured out how to use their Structure Core 3D Sensor to provide room scale VR to any smartphone headset—whether it’s for an iPhone or Android.
The Body VR is a great example of how the Oculus Rift and Gear VR can be used to educate as well as entertain. Starting today, it’s also a great example of how the HTC Vive can do the same.
The developers previously released this VR biology lesson for free back at the launch of the Gear VR and, in turn, the Oculus Rift. Now an upgraded version is available on Valve and HTC’s Steam VR headset. You’ll still get the original experience in which you explore the human body, travelling through the bloodstream to learn about blood cells and looking at how organelles work. The piece is narrated as you go.
For a moment, students were taken into another world without leaving the great halls of Harvard. Some students had a great time exploring the ocean floor and saw unique underwater animals, others tried their hand in hockey, while others screamed as they got into a racecar and sped on a virtual speedway. All of them, getting a taste of what virtual and augmented reality looks like.
All of these, of course, were not just about fun but on how especially augmented and virtual reality can transform every kind of industry. This will be discussed and demonstrated at the i-lab in the coming weeks with Rony Abovitz, CEO of Magic Leap Inc., as the keynote speaker.
Abovitz was responsible for developing the “Mixed Reality Lightfield,” a technology that combines augmented and virtual reality. According to Abovitz, it will help those who are struggling to “transfer two-dimensional information or text into “spatial learning.”
“I think it will make life easier for a lot of people and open doors for a lot of people because we are making technology fit how our brains evolved into the physics of the universe rather than forcing our brains to adapt to a more limited technology,” he added.
