IBM

Teachers can now use IBM’s Watson to search for free lesson plans [Noonoo]

On 09/14/2017, in 21st century, 24x7x365 access, IBM, innovation, intelligent systems, K-12 related, mathematics, open courseware and systems, student-related, teachers, teaching & learning, by Daniel Christian

Teachers can now use IBM’s Watson to search for free lesson plans — from edsurge.com by Stephen Noonoo

Excerpt:

IBM’s famous Watson computing system—which defeated Jeopardy champ Ken Jennings in 2011—is coming to education, if not quite the classroom. As part of a new IBM philanthropic initiative, the supercomputer is helping to power a searchable database of open educational math resources designed for teachers in grades K-5.

Today marks the first time the new tool, called Teacher Advisor With Watson 1.0, is open to the public after a lengthy beta testing period that sought input from state education commissioners, teachers unions, school board associations and more than 1,000 teachers.

“We wanted to build and design something for teachers by teachers, with the best information and the best technology available,” says Stan Litow, the President Emeritus of the IBM Foundation and a former deputy chancellor for New York City Department of Education.

The IBM Foundation has been flirting with ideas to apply Watson technology in education for a while, without knowing exactly what it wanted to do with it. The tech giant began last year by pulling in more than 100 top-level education leaders for a daylong event demoing the tech. From that focus group they narrowed the list of potential applications to professional development tools and, eventually, settled on a searchable database exclusively for elementary school math.

Populating the search engine is a collection of more than 1,000 OERs—from sources such as Achieve, UnboundED and statewide orgs like EngageNY—hand-selected by math experts assisting the program.

Also see:

A survey of 3,000 executives reveals how businesses succeed with AI — from hbr.org by Jacques Bughin, Brian McCarthy, Michael Chui

Excerpt:

The buzz over artificial intelligence (AI) has grown loud enough to penetrate the C-suites of organizations around the world, and for good reason. Investment in AI is growing and is increasingly coming from organizations outside the tech space. And AI success stories are becoming more numerous and diverse, from Amazon reaping operational efficiencies using its AI-powered Kiva warehouse robots, to GE keeping its industrial equipment running by leveraging AI for predictive maintenance.

While it’s clear that CEOs need to consider AI’s business implications, the technology’s nascence in business settings makes it less clear how to profitably employ it. Through a study of AI that included a survey of 3,073 executives and 160 case studies across 14 sectors and 10 countries, and through a separate digital research program, we have identified 10 key insights CEOs need to know to embark on a successful AI journey.

Make no mistake: The next digital frontier is here, and it’s AI. While some firms are still reeling from previous digital disruptions, a new one is taking shape. But it’s early days. There’s still time to make AI a competitive advantage.

IBM and MIT to Pursue Joint Research in Artificial Intelligence, Establish New MIT-IBM Watson AI Lab — from by
IBM plans to make a 10-Year, $240 Million Investment in new lab with MIT to advance AI hardware and software and algorithms

Excerpt:

CAMBRIDGE, Mass., Sept. 7, 2017 /PRNewswire/ — IBM and MIT today announced that IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI Lab in partnership with MIT. The lab will carry out fundamental artificial intelligence (AI) research and seek to propel scientific breakthroughs that unlock the potential of AI. The collaboration aims to advance AI hardware, software and algorithms related to deep learning and other areas, increase AI’s impact on industries, such as health care and cybersecurity, and explore the economic and ethical implications of AI on society. IBM’s $240 million investment in the lab will support research by IBM and MIT scientists.

The new lab will be one of the largest long-term university-industry AI collaborations to date, mobilizing the talent of more than 100 AI scientists, professors, and students to pursue joint research…

Chatbot “Bobbot” has driven 1000’s of potential leads, 10% increase in converting visitors to students

On 08/08/2017, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business side of he, cloud-based computing / apps / other cloud-related, colleges, community colleges, emerging technologies, experimentation, Facebook / Meta Platforms, higher education, IBM, Natural Language Processing (NLP), student-related, tools, universities, vendors, by Daniel Christian

Codify Academy Taps IBM Cloud with Watson to Design Cognitive Chatbot — from finance.yahoo.com
Chatbot “Bobbot” has driven thousands of potential leads, 10 percent increase in converting visitors to students

Excerpt:

ARMONK, N.Y., Aug. 4, 2017 /PRNewswire/ — IBM (NYSE: IBM) today announced that Codify Academy, a San Francisco-based developer education startup, tapped into IBM Cloud’s cognitive services to create an interactive cognitive chatbot, Bobbot, that is improving student experiences and increasing enrollment.

Using the IBM Watson Conversation Service, Bobbot fields questions from prospective and current students in natural language via the company’s website. Since implementing the chatbot, Codify Academy has engaged thousands of potential leads through live conversation between the bot and site visitors, leading to a 10 percent increase in converting these visitors into students.

Bobbot can answer more than 200 common questions about enrollment, course and program details, tuition, and prerequisites, in turn enabling Codify Academy staff to focus on deeper, more meaningful exchanges.

Also see:

Chatbots — The Beginners Guide — from chatbotsmagazine.com

Excerpt:

If you search for chatbots on Google, you’ll probably come across hundreds of pages starting from what is a chatbot to how to build one. This is because we’re in 2017, the year of the chatbots revolution.

I’ve been introduced to many people who are new to this space, and who are very interested and motivated in entering it, rather they’re software developers, entrepreneurs, or just tech hobbyists. Entering this space for the first time, has become overwhelming in just a few months, particularly after Facebook announced the release of the messenger API at F8 developer conference. Due to this matter, I’ve decided to simplify the basic steps of entering this fascinating world.

The Business of Artificial Intelligence — from hbr.org by Erik Brynjolfsson & Andrew McAfee

Excerpts (emphasis DSC):

The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own.

Why is this such a big deal? Two reasons. First, we humans know more than we can tell: We can’t explain exactly how we’re able to do a lot of things — from recognizing a face to making a smart move in the ancient Asian strategy game of Go. Prior to ML, this inability to articulate our own knowledge meant that we couldn’t automate many tasks. Now we can.

Second, ML systems are often excellent learners. They can achieve superhuman performance in a wide range of activities, including detecting fraud and diagnosing disease. Excellent digital learners are being deployed across the economy, and their impact will be profound.

In the sphere of business, AI is poised have a transformational impact, on the scale of earlier general-purpose technologies. Although it is already in use in thousands of companies around the world, most big opportunities have not yet been tapped. The effects of AI will be magnified in the coming decade, as manufacturing, retailing, transportation, finance, health care, law, advertising, insurance, entertainment, education, and virtually every other industry transform their core processes and business models to take advantage of machine learning. The bottleneck now is in management, implementation, and business imagination.

…

The machine learns from examples, rather than being explicitly programmed for a particular outcome.

Let’s start by exploring what AI is already doing and how quickly it is improving. The biggest advances have been in two broad areas: perception and cognition. …For instance, Aptonomy and Sanbot, makers respectively of drones and robots, are using improved vision systems to automate much of the work of security guards.

Machine learning is driving changes at three levels: tasks and occupations, business processes, and business models.

You may have noticed that Facebook and other apps now recognize many of your friends’ faces in posted photos and prompt you to tag them with their names.

McKinsey’s State Of Machine Learning & AI, 2017 [Columbus]

On 07/16/2017, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Google, human-computer interaction (HCI), IBM, trends, United States, vendors, by Daniel Christian

McKinsey’s State Of Machine Learning & AI, 2017 — from forbes.com by Louis Columbus

Excerpts:

Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions.
Artificial Intelligence (AI) investment has turned into a race for patents and intellectual property (IP) among the world’s leading tech companies.
U.S.-based companies absorbed 66% of all AI investments in 2016. China was second with 17% and growing fast.
By providing better search results, Netflix estimates that it is avoiding canceled subscriptions that would reduce its revenue by $1B annually.

These and other findings are from the McKinsey Global Institute Study, and discussion paper, Artificial Intelligence, The Next Digital Frontier (80 pp., PDF, free, no opt-in) published last month. McKinsey Global Institute published an article summarizing the findings titled How Artificial Intelligence Can Deliver Real Value To Companies. McKinsey interviewed more than 3,000 senior executives on the use of AI technologies, their companies’ prospects for further deployment, and AI’s impact on markets, governments, and individuals. McKinsey Analytics was also utilized in the development of this study and discussion paper.

Video: 4 FAQs about Watson as tutor [Nitta]

On 07/15/2017, in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, colleges, community colleges, computer science, education, education technology, elearning, emerging technologies, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, learner profiles, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), personalized/customized learning, platforms, professional development, programming, universities, user experience (UX), vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

Video: 4 FAQs about Watson as tutor — from er.educause.edu by Satya Nitta

Excerpt:

How is IBM using Watson’s intelligent tutoring system? So we are attempting to mimic the best practices of human tutoring. The gold standard will always remain one on one human to human tutoring. The whole idea here is an intelligent tutoring system as a computing system that works autonomously with learners, so there is no human intervention. It’s basically pretending to be the teacher itself and it’s working with the learner. What we’re attempting to do is we’re attempting to basically put conversational systems, systems that understand human conversation and dialogue, and we’re trying to build a system that, in a very natural way, interacts with people through conversation. The system basically has the ability to ask questions, to answer questions, to know who you are and where you are in your learning journey, what you’re struggling with, what you’re strong on and it will personalize its pedagogy to you.

…

There’s a natural language understanding system and a machine learning system that’s trying to figure out where you are in your learning journey and what the appropriate intervention is for you. The natural language system enables this interaction that’s very rich and conversation-based, where you can basically have a human-like conversation with it and, to a large extent, it will try to understand and to retrieve the right things for you. Again the most important thing is that we will set the expectations appropriately and we have appropriate exit criteria for when the system doesn’t actually understand what you’re trying to do.

What a future, powerful, global learning platform will look & act like [Christian]

On 06/22/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, accessibility / UDL, adult learning, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, assessment, assistive technologies, attention, Augmented Reality (AR), Blockchain, blogs / blogging / vlogging, bots, Bring your own device (BYOD), business side of he, career development, change, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communications, communities of practice, community colleges, competency-based learning/education, computer science, content development, aggregation, repositories, convergence, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, Daniel S. Christian, data related items, digital audio, digital learning, digital textbooks, digital video, disruption, distance education, education, education technology, educational games / serious games, elearning, emerging technologies, engagement / engaging students, Facebook / Meta Platforms, future, future of higher education, game-changing environment, global / globalization, Google, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), IBM, ideas, informal learning, innovation, instructional design, intelligent systems, intelligent tutoring, internet, K-12 related, languages and translation, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, liberal arts, lifelong learning, love of learning, machine-to-machine communications, microlearning, Microsoft, mobile learning, more voice more choice more control, multimedia, Natural Language Processing (NLP), Near Field Communication (NFC), New "Amazon.com" of Higher Education, new business models, online learning, online media, online tutoring, participation, personalized/customized learning, platforms, professional development, reinvent, robotics, RSS, second screen apps, simulations, smart classrooms, smart/connected TV, social learning / networks, society, staying relevant, streams of content, student-related, surviving, tablets, teaching & learning, teaching online, technologies for your home, technology (general), telepresence, television, tools, training / L&D, universities, user experience (UX), using teams, vendors, videoconferencing, virtual field trips, virtual K-12 schools, Virtual Reality (VR) / worlds / learning, virtual tutoring, vision/possibilities, voice recognition / voice enabled interfaces, web-based collaboration, webinars, workplace, by Daniel Christian

Learning from the Living [Class] Room:
A vision for a global, powerful, next generation learning platform

By Daniel Christian

NOTE: Having recently lost my Senior Instructional Designer position due to a staff reduction program, I am looking to help build such a platform as this. So if you are working on such a platform or know of someone who is, please let me know: danielchristian55@gmail.com.

I want to help people reinvent themselves quickly, efficiently, and cost-effectively — while providing more choice, more control to lifelong learners. This will become critically important as artificial intelligence, robotics, algorithms, and automation continue to impact the workplace.

Learning from the Living [Class] Room:
A global, powerful, next generation learning platform

What does the vision entail?

A new, global, collaborative learning platform that offers more choice, more control to learners of all ages – 24×7 – and could become the organization that futurist Thomas Frey discusses here with Business Insider:

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

A learner-centered platform that is enabled by – and reliant upon – human beings but is backed up by a powerful suite of technologies that work together in order to help people reinvent themselves quickly, conveniently, and extremely cost-effectively
An AI-backed system of analyzing employment trends and opportunities will highlight those courses and “streams of content” that will help someone obtain the most in-demand skills
A system that tracks learning and, via Blockchain-based technologies, feeds all completed learning modules/courses into learners’ web-based learner profiles
A learning platform that provides customized, personalized recommendation lists – based upon the learner’s goals
A platform that delivers customized, personalized learning within a self-directed course (meant for those content creators who want to deliver more sophisticated courses/modules while moving people through the relevant Zones of Proximal Development)
Notifications and/or inspirational quotes will be available upon request to help provide motivation, encouragement, and accountability – helping learners establish habits of continual, lifelong-based learning
(Potentially) An online-based marketplace, matching learners with teachers, professors, and other such Subject Matter Experts (SMEs)
(Potentially) Direct access to popular job search sites
(Potentially) Direct access to resources that describe what other companies do/provide and descriptions of any particular company’s culture (as described by current and former employees and freelancers)

Further details:
While basic courses will be accessible via mobile devices, the optimal learning experience will leverage two or more displays/devices. So while smaller smartphones, laptops, and/or desktop workstations will be used to communicate synchronously or asynchronously with other learners, the larger displays will deliver an excellent learning environment for times when there is:

A Subject Matter Expert (SME) giving a talk or making a presentation on any given topic
A need to display multiple things going on at once, such as:
The SME(s)
An application or multiple applications that the SME(s) are using
Content/resources that learners are submitting in real-time (think Bluescape, T1V, Prysm, other)
The ability to annotate on top of the application(s) and point to things w/in the app(s)
Media being used to support the presentation such as pictures, graphics, graphs, videos, simulations, animations, audio, links to other resources, GPS coordinates for an app such as Google Earth, other
Other attendees (think Google Hangouts, Skype, Polycom, or other videoconferencing tools)
An (optional) representation of the Personal Assistant (such as today’s Alexa, Siri, M, Google Assistant, etc.) that’s being employed via the use of Artificial Intelligence (AI)

This new learning platform will also feature:

Voice-based commands to drive the system (via Natural Language Processing (NLP))
Language translation (using techs similar to what’s being used in Translate One2One, an earpiece powered by IBM Watson)
Speech-to-text capabilities for use w/ chatbots, messaging, inserting discussion board postings
Text-to-speech capabilities as an assistive technology and also for everyone to be able to be mobile while listening to what’s been typed
Chatbots
- For learning how to use the system
- For asking questions of – and addressing any issues with – the organization owning the system (credentials, payments, obtaining technical support, etc.)
- For asking questions within a course
As many profiles as needed per household
(Optional) Machine-to-machine-based communications to automatically launch the correct profile when the system is initiated (from one’s smartphone, laptop, workstation, and/or tablet to a receiver for the system)
(Optional) Voice recognition to efficiently launch the desired profile
(Optional) Facial recognition to efficiently launch the desired profile
(Optional) Upon system launch, to immediately return to where the learner previously left off
The capability of the webcam to recognize objects and bring up relevant resources for that object
A built in RSS feed aggregator – or a similar technology – to enable learners to tap into the relevant “streams of content” that are constantly flowing by them
Social media dashboards/portals – providing quick access to multiple sources of content and whereby learners can contribute their own “streams of content”

In the future, new forms of Human Computer Interaction (HCI) such as Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) will be integrated into this new learning environment – providing entirely new means of collaborating with one another.

Likely players:

Amazon – personal assistance via Alexa
Apple – personal assistance via Siri
Google – personal assistance via Google Assistant; language translation
Facebook — personal assistance via M
Microsoft – personal assistance via Cortana; language translation
IBM Watson – cognitive computing; language translation
Polycom – videoconferencing
Blackboard – videoconferencing, application sharing, chat, interactive whiteboard
T1V, Prsym, and/or Bluescape – submitting content to a digital canvas/workspace
Samsung, Sharp, LCD, and others – for large displays with integrated microphones, speakers, webcams, etc.
Feedly – RSS aggregator
_________ – for providing backchannels
_________ – for tools to create videocasts and interactive videos
_________ – for blogs, wikis, podcasts, journals
_________ – for quizzes/assessments
_________ – for discussion boards/forums
_________ – for creating AR, MR, and/or VR-based content

AIG teams with IBM to use blockchain for ‘smart’ insurance policy — from reuters.com by Suzanne Barlyn

Excerpt (emphasis DSC):

Insurer American International Group Inc has partnered with International Business Machines Corp to develop a “smart” insurance policy that uses blockchain to manage complex international coverage, the companies said on Wednesday.

AIG and IBM completed a pilot of a so-called “smart contract” multi-national policy for Standard Chartered Bank PLC which the companies said is the first of its kind using blockchain’s digital ledger technology.
…
IBM has been partnering with leading companies in various industries, including Danish transport company Maersk, to create blockchain-based products that can streamline complex international dealings across sectors.

Blockchain technology, which powers the digital currency bitcoin, enables data sharing across a network of individual computers. It has gained worldwide popularity due to its usefulness in recording and keeping track of assets or transactions across all industries.

From DSC:
Why post this item? Because IBM and others are experimenting with and investing millions into blockchain-based technologies; and because the manner in which credentials are stored and recognized will most likely be significantly impacted by blockchain-based technologies. Earlier this year at the Next Generation Learning Spaces Conference in San Diego, I mentioned that this topic of blockchain-based technologies is something that should be on our radars within higher education.

World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

On 06/13/2017, in Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, Australia, Canada, collaboration, communications, corporate / business world, Daniel S. Christian, digital audio, education technology, emerging technologies, Europe, global / globalization, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, intelligent tutoring, languages and translation, Learning from the Living [Class] Room, mobile technologies, MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), online learning, online tutoring, platforms, technologies for your home, tools, UK, United States, user experience (UX), vendors, videoconferencing, voice recognition / voice enabled interfaces, web-based collaboration, workplace, by Daniel Christian

Australian start-up taps IBM Watson to launch language translation earpiece — from prnewswire.com
World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

Excerpts:

SYDNEY, June 12, 2017 /PRNewswire/ — Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds, being the first of its kind to hit global markets next month.
…
Unveiled at last week’s United Nations Artificial Intelligence (AI) for Good Summit in Geneva, Switzerland, the Translate One2One earpiece supports translations across English, Japanese, French, Italian, Spanish, Brazilian Portuguese, German and Chinese. Available to purchase today for delivery in July, the earpiece carries a price tag of $179 USD, and is the first independent translation device that doesn’t rely on Bluetooth or Wi-Fi connectivity.

Lingmo International, an Australian technology start-up, has today launched Translate One2One, an earpiece powered by IBM Watson that can efficiently translate spoken conversations within seconds.

From DSC:
How much longer before this sort of technology gets integrated into videoconferencing and transcription tools that are used in online-based courses — enabling global learning at a scale never seen before? (Or perhaps NLP-based tools are already being integrated into global MOOCs and the like…not sure.) It would surely allow for us to learn from each other in a variety of societies throughout the globe.

Microsoft’s new Invoke speaker will offer 360-degree speakers, Skype calling, & smart home control all through voice commands.

On 05/09/2017, in 24x7x365 access, A/V -- audio/visual, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, digital learning, emerging technologies, Europe, human-computer interaction (HCI), IBM, ideas, Microsoft, Natural Language Processing (NLP), vendors, voice recognition / voice enabled interfaces, by Daniel Christian

Microsoft Cortana-Powered Speaker Challenges Amazon’s Echo With Skype Calls — from foxbusiness.com by y Jay Greene

Excerpt:

Microsoft Corp. is hoping to challenge Amazon.com Inc.’s Echo smart speaker for a spot on the kitchen counter with a device from Samsung Electronics Co. that can make phone calls. The Invoke, which will debut this fall, comes more two years after the release of the Echo, which has sold more 11 million units through late last year, according to estimates by Morgan Stanley. It also will compete with Alphabet Inc.’s Google Home, which was released last fall. The voice-controlled Invoke, made by Samsung’s Harman Kardon unit, will use Microsoft’s Cortana digital assistant to take commands.

Microsoft Screams ‘Me Too’ With Cortana-Powered Rival to Amazon Echo and Google Home — from gizmodo.com by Alex Cranz

Excerpt:

With Microsoft’s Build developer conference just two days away, the company has revealed one of the most anticipated announcements from the event: A new Cortana-powered speaker made by German audio giant Harman Kardon.

Now, it’s fair to see this speaker for what it is: An answer to the Google Home and Amazon Echo. Both assistant-powered speakers are already in homes across our great nation, listening to your noises, noting your habits, and in general invading your lives under the guise of smart home helpfulness. The new Microsoft speaker, dubbed “Invoke,” one will presumably do the good stuff, let giving you updates on the weather and letting you turn on some soothing jazz for your dog with just a spoken command. Microsoft is also hoping that partnering with Harmon Kardon means its speaker can avoid one of the bigger problems with these devices—their tendency to sound cheap and tinny.

Harman Kardon’s Invoke speaker is a Cortana-powered take on an Amazon Echo — from theverge.com by Chaim Gartenberg

Excerpt:

As teased earlier, the Invoke speaker will offer 360-degree speakers, Skype calling, and smart home control all through voice commands. Design-wise, the Invoke strongly resembles Amazon’s Echo that its meant to compete with: both offer a similar cylindrical aluminum shape, light ring, and a seven-microphone array. That said, Harmon Kardon seems to be taking the “speaker” portion of its functionality more seriously than Amazon does, with the Invoke offering three woofers and three tweeters (compared to the Echo, which offers just a single of each driver). Microsoft is also highlighting the Invoke’s ability to make and receive Skype calls to other Skype devices as well as cellphones and landlines, which is an interesting addition to a home assistant.

From DSC:
Here we see yet another example of the increasing use of voice as a means of communicating with our computing-related devices. AI-based applications continue to develop.

“59 impressive things artificial intelligence can do today” + 7 other items re: artificial intelligence, machine learning, & deep learning

On 03/27/2017, in 21st century, Amazon, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, computer science, data related items, emerging technologies, ethics, future, game-changing environment, global / globalization, health, human-computer interaction (HCI), IBM, ideas, innovation, intelligent systems, internet, languages and translation, learning spaces, morals/values, Natural Language Processing (NLP), platforms, programming, robotics, smart classrooms, society, universities, vendors, voice recognition / voice enabled interfaces, web-based collaboration, by Daniel Christian

59 impressive things artificial intelligence can do today — from businessinsider.com by Ed Newton-Rex

Excerpt:

But what can AI do today? How close are we to that all-powerful machine intelligence? I wanted to know, but couldn’t find a list of AI’s achievements to date. So I decided to write one. What follows is an attempt at that list. It’s not comprehensive, but it contains links to some of the most impressive feats of machine intelligence around. Here’s what AI can do…

Recorded Saturday, February 25th, 2017 and published on Mar 16, 2017

Description:
Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, or could it present a threat to the very basis of human civilization? The future of artificial intelligence is up for debate, and the Origins Project is bringing together a distinguished panel of experts, intellectuals and public figures to discuss who’s in control. Eric Horvitz, Jaan Tallinn, Kathleen Fisher and Subbarao Kambhampati join Origins Project director Lawrence Krauss.

Description:
Elon Musk, Stuart Russell, Ray Kurzweil, Demis Hassabis, Sam Harris, Nick Bostrom, David Chalmers, Bart Selman, and Jaan Tallinn discuss with Max Tegmark (moderator) what likely outcomes might be if we succeed in building human-level AGI, and also what we would like to happen. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

(Below emphasis via DSC)

IBM and Ricoh have partnered for a cognitive-enabled interactive whiteboard which uses IBM’s Watson intelligence and voice technologies to support voice commands, taking notes and actions and even translating into other languages.

The Intelligent Workplace Solution leverages IBM Watson and Ricoh’s interactive whiteboards to allow to access features via using voice. It makes sure that Watson doesn’t just listen, but is an active meeting participant, using real-time analytics to help guide discussions.

Features of the new cognitive-enabled whiteboard solution include:

Global voice control of meetings: Once a meeting begins, any employee, whether in-person or located remotely in another country, can easily control what’s on the screen, including advancing slides, all through simple voice commands using Watson’s Natural Language API.
Translation of the meeting into another language: The Intelligent Workplace Solution can translate speakers’ words into several other languages and display them on screen or in transcript.
Easy-to-join meetings: With the swipe of a badge the Intelligent Workplace Solution can log attendance and track key agenda items to ensure all key topics are discussed.
Ability to capture side discussions: During a meeting, team members can also hold side conversations that are displayed on the same whiteboard.

From DSC:

Holy smokes!

If you combine the technologies that Ricoh and IBM are using with their new cognitive-enabled interactive whiteboard with what Bluescape is doing — by providing 160 acres of digital workspace that’s used to foster collaboration (and to do so whether you are working remoting or working with others in the same physical space) — and you have one incredibly powerful platform!

AI Market to Grow 47.5% Over Next Four Years — from campustechnology.com by Richard Chang

Excerpt:

The artificial intelligence (AI) market in the United States education sector is expected to grow at a compound annual growth rate of 47.5 percent during the period 2017-2021, according to a new report by market research firm Research and Markets.

Amazon deepens university ties in artificial intelligence race — from by Jeffrey Dastin

Excerpt:

Amazon.com Inc has launched a new program to help students build capabilities into its voice-controlled assistant Alexa, the company told Reuters, the latest move by a technology firm to nurture ideas and talent in artificial intelligence research.
…
Amazon, Alphabet Inc’s Google and others are locked in a race to develop and monetize artificial intelligence. Unlike some rivals, Amazon has made it easy for third-party developers to create skills for Alexa so it can get better faster – a tactic it now is extending to the classroom.

The WebMD skill for Amazon’s Alexa can answer all your medical questions — from digitaltrends.com by Kyle Wiggers
WebMD is bringing its wealth of medical knowledge to a new form factor: Amazon’s Alexa voice assistant.

Excerpt:

Alexa, Amazon’s brilliant voice-activated smart assistant, is a capable little companion. It can order a pizza, summon a car, dictate a text message, and flick on your downstairs living room’s smart bulb. But what it couldn’t do until today was tell you whether that throbbing lump on your forearm was something that required medical attention. Fortunately, that changed on Tuesday with the introduction of a WebMD skill that puts the service’s medical knowledge at your fingertips.

Addendum:

How artificial intelligence is taking Asia by storm — from techwireasia.com by Samantha Cheh
Excerpt:
Lately it seems as if everyone is jumping onto the artificial intelligence bandwagon. Everyone, from ride-sharing service Uber to Amazon’s logistics branch, is banking on AI being the next frontier in technological innovation, and are investing heavily in the industry.

That’s likely truest in Asia, where the manufacturing engine which drove China’s growth is now turning its focus to plumbing the AI mine for gold.

Despite Asia’s relatively low overall investment in AI, the industry is set to grow. Fifty percent of respondents in KPMG’s AI report said their companies had plans to invest in AI or robotic technology.

Investment in AI is set to drive venture capital investment in China in 2017. Tak Lo, of Hong Kong’s Zeroth, notes there are more mentions of AI in Chinese research papers than there are in the US.

China, Korea and Japan collectively account for nearly half the planet’s shipments of articulated robots in the world.

Artificial Intelligence – Research Areas

(Below emphasis via DSC)

IBM and Ricoh have partnered for a cognitive-enabled interactive whiteboard which uses IBM’s Watson intelligence and voice technologies to support voice commands, taking notes and actions and even translating into other languages.

The Intelligent Workplace Solution leverages IBM Watson and Ricoh’s interactive whiteboards to allow to access features via using voice. It makes sure that Watson doesn’t just listen, but is an active meeting participant, using real-time analytics to help guide discussions.

Features of the new cognitive-enabled whiteboard solution include:

Global voice control of meetings: Once a meeting begins, any employee, whether in-person or located remotely in another country, can easily control what’s on the screen, including advancing slides, all through simple voice commands using Watson’s Natural Language API.
Translation of the meeting into another language: The Intelligent Workplace Solution can translate speakers’ words into several other languages and display them on screen or in transcript.
Easy-to-join meetings: With the swipe of a badge the Intelligent Workplace Solution can log attendance and track key agenda items to ensure all key topics are discussed.
Ability to capture side discussions: During a meeting, team members can also hold side conversations that are displayed on the same whiteboard.

From DSC:

Holy smokes!

If you combine the technologies that Ricoh and IBM are using with their new cognitive-enabled interactive whiteboard with what Bluescape is doing — by providing 160 acres of digital workspace that’s used to foster collaboration (and to do so whether you are working remotely or working with others in the same physical space) — and you have one incredibly powerful platform!

“The Enterprise Gets Smart” + AI principles from the 2017 Asilomar Conference

On 03/24/2017, in 21st century, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Asia, bots, business, Canada, career development, change, changing business models, communications, corporate / business world, corporate universities / corporate training, data related items, emerging technologies, ethics, Europe, Facebook / Meta Platforms, future, game-changing environment, global / globalization, Google, human-computer interaction (HCI), IBM, ideas, India, innovation, intelligent systems, leadership, legislatures / government / legal, liberal arts, morals/values, reinvent, research, robotics, science, society, surviving, UK, United States, vendors, vision/possibilities, by Daniel Christian

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.”

Asilomar AI Principles

These principles were developed in conjunction with the 2017 Asilomar conference (videos here), through the process described here.

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?

Talks:
- Demis Hassabis (DeepMind)
- Ray Kurzweil (Google) (video)
- Yann LeCun (Facebook/NYU) (pdf) (video)
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)
- Talks:
  - Shane Legg (DeepMind)
  - Nick Bostrom (Oxford) (pdf) (video)
  - Jaan Tallinn (CSER/FLI) (pdf) (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?
- Talks:
  - Matt Scherer (pdf) (video)
  - Heather Roff-Perkins (Oxford)
- Panel with Martin Rees (CSER/Cambridge), Heather Roff-Perkins, Jason Matheny (IARPA), Steve Goose (HRW), Irakli Beridze (UNICRI), Rao Kambhampati (AAAI, ASU), Anthony Romero (ACLU): Policy & Governance (video)
- Panel with Kate Crawford (Microsoft/MIT), Matt Scherer, Ryan Calo (U. Washington), Kent Walker (Google), Sam Altman (OpenAI): AI & Law (video)
- Panel with Kay Firth-Butterfield (IEEE, Austin-AI), Wendell Wallach (Yale), Francesca Rossi (IBM/Padova), Huw Price (Cambridge, CFI), Margaret Boden (Sussex): AI & Ethics (video)

Galvanize will teach students how to use IBM Watson APIs with new machine learning course [Mannes]

On 03/20/2017, in 21st century, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, computer science, IBM, platforms, programming, by Daniel Christian

Galvanize will teach students how to use IBM Watson APIs with new machine learning course — from techcrunch.com by John Mannes

Excerpt:

As part of IBM’s annual InterConnect conference in Las Vegas, the company is announcing a new machine learning course in partnership with workspace and education provider Galvanize to familiarize students with IBM’s suite of Watson APIs. These APIs simplify the process of building tools that rely on language, speech and vision analysis.

Going by the admittedly clunky name IBM Cognitive Course, the class will spend four weeks teaching the basics of machine learning and Watson’s capabilities. Students will be able to take the class directly within IBM’s Bluemix cloud platform.

A smorgasboard of ideas to put on your organization’s radar! [Christian]

On 03/15/2017, in 21st century, 24x7x365 access, A/V -- audio/visual, active learning, adult learning, Amazon, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Augmented Reality (AR), Blockchain, bots, business side of he, career development, change, cloud-based computing / apps / other cloud-related, CMS/LMS, colleges, communications, community colleges, computer science, content development, aggregation, repositories, credentialing, Daniel S. Christian, digital learning, disruption, education, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, global / globalization, higher education, human-computer interaction (HCI), IBM, ideas, immersion, innovation, instructional design, intelligent systems, intelligent tutoring, interactivity, internet, K-12 related, learning, learning ecosystem, Learning from the Living [Class] Room, learning spaces, lifelong learning, machine-to-machine communications, Microsoft, Mixed Reality (MR), MOOCs -- Massive Open Online Courses, Natural Language Processing (NLP), Near Field Communication (NFC), New "Amazon.com" of Higher Education, online learning, online tutoring, pace of change, personalized/customized learning, platforms, reinvent, robotics, RSS, social learning / networks, society, staying relevant, strategy, streams of content, student-related, surviving, teaching & learning, technologies for your home, technology (general), tools, trends, universities, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, vision/possibilities, by Daniel Christian

From DSC:
At the Next Generation Learning Spaces Conference, held recently in San Diego, CA, I moderated a panel discussion re: AR, VR, and MR. I started off our panel discussion with some introductory ideas and remarks — meant to make sure that numerous ideas were on the radars at attendees’ organizations. Then Vinay and Carrie did a super job of addressing several topics and questions (Mary was unable to make it that day, as she got stuck in the UK due to transportation-related issues).

That said, I didn’t get a chance to finish the second part of the presentation which I’ve listed below in both 4:3 and 16:9 formats. So I made a recording of these ideas, and I’m relaying it to you in the hopes that it can help you and your organization.

Presentations/recordings:

Audio/video recording (187 MB MP4 file)

Again, I hope you find this information helpful.

Thanks,
Daniel

Learning Ecosystems

“A survey of 3,000 execs reveals how businesses succeed with AI” + “IBM & MIT to pursue joint research in AI”

The Business of Artificial Intelligence [Brynjolfsson & McAfee]

McKinsey’s State Of Machine Learning & AI, 2017 [Columbus]

Video: 4 FAQs about Watson as tutor [Nitta]

A “first of its kind” using blockchain’s digital ledger technology [Barlyn]

World’s first available independent translation earpiece, powered by AI to be in the hands of consumers by July

Microsoft’s new Invoke speaker will offer 360-degree speakers, Skype calling, & smart home control all through voice commands.

Imagine the possibilities here! A cognitive-enabled interactive whiteboard that uses voice recognition, takes notes/actions, & translates languages!

Galvanize will teach students how to use IBM Watson APIs with new machine learning course [Mannes]

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