NEW: The Top Tools for Learning 2018 [Jane Hart]

The Top Tools for Learning 2018 from the 12th Annual Digital Learning Tools Survey -- by Jane Hart

 

The above was from Jane’s posting 10 Trends for Digital Learning in 2018 — from modernworkplacelearning.com by Jane Hart

Excerpt:

[On 9/24/18],  I released the Top Tools for Learning 2018 , which I compiled from the results of the 12th Annual Digital Learning Tools Survey.

I have also categorised the tools into 30 different areas, and produced 3 sub-lists that provide some context to how the tools are being used:

  • Top 100 Tools for Personal & Professional Learning 2018 (PPL100): the digital tools used by individuals for their own self-improvement, learning and development – both inside and outside the workplace.
  • Top 100 Tools for Workplace Learning (WPL100): the digital tools used to design, deliver, enable and/or support learning in the workplace.
  • Top 100 Tools for Education (EDU100): the digital tools used by educators and students in schools, colleges, universities, adult education etc.

 

3 – Web courses are increasing in popularity.
Although Coursera is still the most popular web course platform, there are, in fact, now 12 web course platforms on the list. New additions this year include Udacity and Highbrow (the latter provides daily micro-lessons). It is clear that people like these platforms because they can chose what they want to study as well as how they want to study, ie. they can dip in and out if they want to and no-one is going to tell them off – which is unlike most corporate online courses which have a prescribed path through them and their use is heavily monitored.

 

 

5 – Learning at work is becoming personal and continuous.
The most significant feature of the list this year is the huge leap up the list that Degreed has made – up 86 places to 47th place – the biggest increase by any tool this year. Degreed is a lifelong learning platform and provides the opportunity for individuals to own their expertise and development through a continuous learning approach. And, interestingly, Degreed appears both on the PPL100 (at  30) and WPL100 (at 52). This suggests that some organisations are beginning to see the importance of personal, continuous learning at work. Indeed, another platform that underpins this, has also moved up the list significantly this year, too. Anders Pink is a smart curation platform available for both individuals and teams which delivers daily curated resources on specified topics. Non-traditional learning platforms are therefore coming to the forefront, as the next point further shows.

 

 

From DSC:
Perhaps some foreshadowing of the presence of a powerful, online-based, next generation learning platform…?

 

 

 

How AI could help solve some of society’s toughest problems — from MIT Tech Review by Charlotte Jee
Machine learning and game theory help Carnegie Mellon assistant professor Fei Fang predict attacks and protect people.

Excerpt:

At MIT Technology Review’s EmTech conference, Fang outlined recent work across academia that applies AI to protect critical national infrastructure, reduce homelessness, and even prevent suicides.

 

 

Google Cloud’s new AI chief is on a task force for AI military uses and believes we could monitor ‘pretty much the whole world’ with drones — from businessinsider.in by Greg Sandoval

  • Andrew Moore, the new chief of Google Cloud AI, co-chairs a task force on AI and national security with deep defense sector ties.
  • Moore leads the task force with Robert Work, the man who reportedly helped to create Project Maven.
  • Moore has given various talks about the role of AI and defense, once noting that it was now possible to deploy drones capable of surveilling “pretty much the whole world.”
  • One former Googler told Business Insider that the hiring of Moore is a “punch in the face” to those employees.

 

 

How AI can be a force for good — from science.sciencemag.org

Excerpt:

The AI revolution is equally significant, and humanity must not make the same mistake again. It is imperative to address new questions about the nature of post-AI societies and the values that should underpin the design, regulation, and use of AI in these societies. This is why initiatives like the abovementioned AI4People and IEEE projects, the European Union (EU) strategy for AI, the EU Declaration of Cooperation on Artificial Intelligence, and the Partnership on Artificial Intelligence to Benefit People and Society are so important (see the supplementary materials for suggested further reading). A coordinated effort by civil society, politics, business, and academia will help to identify and pursue the best strategies to make AI a force for good and unlock its potential to foster human flourishing while respecting human dignity.

 

 

Ethical regulation of the design and use of AI is a complex but necessary task. The alternative may lead to devaluation of individual rights and social values, rejection of AI-based innovation, and ultimately a missed opportunity to use AI to improve individual wellbeing and social welfare.

 

 

Robot wars — from ethicaljournalismnetwork.org by James Ball
How artificial intelligence will define the future of news

Excerpt:

There are two paths ahead in the future of journalism, and both of them are shaped by artificial intelligence.

The first is a future in which newsrooms and their reporters are robust: Thanks to the use of artificial intelligence, high-quality reporting has been enhanced. Not only do AI scripts manage the writing of simple day-to-day articles such as companies’ quarterly earnings updates, they also monitor and track masses of data for outliers, flagging these to human reporters to investigate.

Beyond business journalism, comprehensive sports stats AIs keep key figures in the hands of sports journalists, letting them focus on the games and the stories around them. The automated future has worked.

The alternative is very different. In this world, AI reporters have replaced their human counterparts and left accountability journalism hollowed out. Facing financial pressure, news organizations embraced AI to handle much of their day-to-day reporting, first for their financial and sports sections, then bringing in more advanced scripts capable of reshaping wire copy to suit their outlet’s political agenda. A few banner hires remain, but there is virtually no career path for those who would hope to replace them ? and stories that can’t be tackled by AI are generally missed.

 

 

Who’s to blame when a machine botches your surgery? — from qz.com by Robert Hart

Excerpt:

That’s all great, but even if an AI is amazing, it will still fail sometimes. When the mistake is caused by a machine or an algorithm instead of a human, who is to blame?

This is not an abstract discussion. Defining both ethical and legal responsibility in the world of medical care is vital for building patients’ trust in the profession and its standards. It’s also essential in determining how to compensate individuals who fall victim to medical errors, and ensuring high-quality care. “Liability is supposed to discourage people from doing things they shouldn’t do,” says Michael Froomkin, a law professor at the University of Miami.

 

 

Alibaba looks to arm hotels, cities with its AI technology — from zdnet.com by Eileen Yu
Chinese internet giant is touting the use of artificial intelligence technology to arm drivers with real-time data on road conditions as well as robots in the hospitality sector, where they can deliver meals and laundry to guests.

Excerpt:

Alibaba A.I. Labs’ general manager Chen Lijuan said the new robots aimed to “bridge the gap” between guest needs and their expected response time. Describing the robot as the next evolution towards smart hotels, Chen said it tapped AI technology to address painpoints in the hospitality sector, such as improving service efficiencies.

Alibaba is hoping the robot can ease hotels’ dependence on human labour by fulfilling a range of tasks, including delivering meals and taking the laundry to guests.

 

 

Accenture Introduces Ella and Ethan, AI Bots to Improve a Patient’s Health and Care Using the Accenture Intelligent Patient Platform — from marketwatch.com

Excerpt:

Accenture has enhanced the Accenture Intelligent Patient Platform with the addition of Ella and Ethan, two interactive virtual-assistant bots that use artificial intelligence (AI) to constantly learn and make intelligent recommendations for interactions between life sciences companies, patients, health care providers (HCPs) and caregivers. Designed to help improve a patient’s health and overall experience, the bots are part of Accenture’s Salesforce Fullforce Solutions powered by Salesforce Health Cloud and Einstein AI, as well as Amazon’s Alexa.

 

 

German firm’s 7 commandments for ethical AI — from france24.com

Excerpt:

FRANKFURT AM MAIN (AFP) –
German business software giant SAP published Tuesday an ethics code to govern its research into artificial intelligence (AI), aiming to prevent the technology infringing on people’s rights, displacing workers or inheriting biases from its human designers.

 

 

 

 

Skype chats are coming to Alexa devices — from engadget.com by Richard Lawlor
Voice controlled internet calls to or from any device with Amazon’s system in it.

Excerpt:

Aside from all of the Alexa-connected hardware, there’s one more big development coming for Amazon’s technology: integration with Skype. Microsoft and Amazon said that voice and video calls via the service will come to Alexa devices (including Microsoft’s Xbox One) with calls that you can start and control just by voice.

 

 

Amazon Hardware Event 2018
From techcrunch.com

 

Echo HomePod? Amazon wants you to build your own — by Brian Heater
One of the bigger surprises at today’s big Amazon event was something the company didn’t announce. After a couple of years of speculation that the company was working on its own version of the Home…

 

 

The long list of new Alexa devices Amazon announced at its hardware event — by Everyone’s favorite trillion-dollar retailer hosted a private event today where they continued to…

 

Amazon introduces APL, a new design language for building Alexa skills for devices with screensAlong with the launch of the all-new Echo Show, the Alexa-powered device with a screen, Amazon also introduced a new design language for developers who want to build voice skills that include multimedia…

Excerpt:

Called Alexa Presentation Language, or APL, developers will be able to build voice-based apps that also include things like images, graphics, slideshows and video, and easily customize them for different device types – including not only the Echo Show, but other Alexa-enabled devices like Fire TV, Fire Tablet, and the small screen of the Alexa alarm clock, the Echo Spot.

 

From DSC:
This is a great move by Amazon — as NLP and our voices become increasingly important in how we “drive” and utilize our computing devices.

 

 

Amazon launches an Echo Wall Clock, because Alexa is gonna be everywhere — by Sarah Perez

 

 

Amazon’s new Echo lineup targets Google, Apple and Sonos — from engadget.com by Nicole Lee
Alexa, dominate the industry.

The business plan from here is clear: Companies pay a premium to be activated when users pose questions related to their products and services. “How do you cook an egg?” could pull up a Food Network tutorial; “How far is Morocco?” could enable the Expedia app.
Also see how Alexa might be a key piece of smart classrooms in the future:
 

Just released from the Future Today Institute:
The 2019 Journalism, Media and Tech Trends Report 

Launched at the Online News Association conference in Austin, Texas, the Future Today Institute’s new industry report for the future of journalism, media and technology follows the same approach as our popular annual mega trends report, now in its 11th year with more than 7.5 million cumulative views.

Key findings:

  • Blockchain emerged as a significant driver of change in 2019 and beyond. The blockchain ecosystem is still maturing, however we’ve now seen enough development, adoption and consolidation that it warrants its own, full section. There are numerous opportunities for media and journalism organizations. For that reason, we’ve included an explainer, a list of companies to watch, and a cross-indexed list of trends to compliment blockchain technology. We’ve also included detailed scenarios in this section.

 

  • Mixed Reality is entering the mainstream.
    The mixed reality ecosystem has grown enough that we now see concrete opportunities on the horizon for media organizations. From immersive video to wearable technology, news and entertainment media organizations should begin mapping their strategy for new kinds of devices and platforms.

 

  • Artificial Intelligence is not a tech trend—it is the third era of computing. And it isn’t just for story generation. You will see the AI ecosystem represented in many of the trends in this report, and it is vitally important that all decision-makers and teams familiarize themselves with current and emerging AI trends.

 

In addition to the 108 trends identified, the report also includes several guides for journalists, including a Blockchain Primer, an AI Primer, a mixed reality explainer, hacker terms and lingo, and a guide to policy changes on the horizon.

The report also includes guidance on how everyone working within journalism and media can take action on tech trends and how to evaluate a trend’s impact on their local marketplaces.

Download and read the full report here.   |   View it on Slideshare.

 

 

 

 

Try before you buy — from universityventures.com

Excerpts:

There are two reasons why the skills gap persists in a full-employment economy. On the student or candidate side, there is “Education Friction.” Education Friction is why individuals fail to upskill themselves with the skills demanded by employers. This is a result of the time required to upskill, the cost, and – most important – the uncertainty of a positive employment outcome. The second and often overlooked contributor to the skills gap is “Hiring Friction” on the part of employers; employers are increasingly reluctant to hire candidates without exact relevant experience. The cost of a bad hire is higher than ever, as is employee churn, as is the cost of replacing terminated employees – all of which have contributed to an increase in experience requirements for positions that should be (and once were) entry level.

From time immemorial, all serious education, training, and workforce efforts to close the skills gap have started by identifying missing skills, developing curriculum, and delivering programs. These “Education Up” models are logical, but also easy. The hardest part of the skills gap is not identifying skills or skill building, but rather building the bridge to employers.

The urgent need to reduce Hiring Friction, coupled with the regulatory barrier to utilizing assessments at the top of the hiring funnel, is giving rise to new models that are the antithesis of “Education Up.” These new “Employer Down” models start with employers and the entry-level positions they need to fill, and eliminate Hiring Friction by allowing employers to try before they buy. Staffing and business services companies are hiring candidates themselves, providing Last-Mile Training, and placing newly-trained talent at the service of employers so they can try before they buy. Some Employer Down models add a new “emerging talent” product to an existing talent business (i.e., staffing or placement). Others establish outsourced apprenticeship programs to add a talent dimension to an existing business service, which can boost pricing power, increase market share, and accelerate growth. What they have in common is that candidates are hired and trained by the provider and then, while remaining employed by the provider, perform work for clients; clients convert candidates to full-time employees only when they’re good and ready. Here’s what else they have in common: scalable business models built around the provision of proven entry-level talent.

 

“Education Up” colleges and universities are ill-prepared for the coming of “Employer Down.”

 

 

 

San Diego’s Nanome Inc. releases collaborative VR-STEM software for free — from vrscout.com by Becca Loux

Excerpt:

The first collaborative VR molecular modeling application was released August 29 to encourage hands-on chemistry experimentation.

The open-source tool is free for download now on Oculus and Steam.

Nanome Inc., the San Diego-based start-up that built the intuitive application, comprises UCSD professors and researchers, web developers and top-level pharmaceutical executives.

 

“With our tool, anyone can reach out and experience science at the nanoscale as if it is right in front of them. At Nanome, we are bringing the craftsmanship and natural intuition from interacting with these nanoscale structures at room scale to everyone,” McCloskey said.

 

San Diego’s Nanome Inc. Releases Collaborative VR-STEM Software For Free

 

 

10 ways VR will change life in the near future — from forbes.com

Excerpts:

  1. Virtual shops
  2. Real estate
  3. Dangerous jobs
  4. Health care industry
  5. Training to create VR content
  6. Education
  7. Emergency response
  8. Distraction simulation
  9. New hire training
  10. Exercise

 

From DSC:
While VR will have its place — especially for timeswhen you need to completely immerse yourself into another environment — I think AR and MR will be much larger and have a greater variety of applications. For example, I could see where instructions on how to put something together in the future could use AR and/or MR to assist with that process. The system could highlight the next part that I’m looking for and then highlight the corresponding parts where it goes — and, if requested, can show me a clip on how it fits into what I’m trying to put together.

 

How MR turns firstline workers into change agents — from virtualrealitypop.com by Charlie Finkand
Mixed Reality, a new dimension of work — from Microsoft and Harvard Business Review

Excerpts:

Workers with mixed-reality solutions that enable remote assistance, spatial planning, environmentally contextual data, and much more,” Bardeen told me. With the HoloLens Firstline Workers workers conduct their usual, day-to-day activities with the added benefit of a heads-up, hands-free, display that gives them immediate access to valuable, contextual information. Microsoft says speech services like Cortana will be critical to control along with gesture, according to the unique needs of each situation.

 

Expect new worker roles. What constitutes an “information worker” could change because mixed reality will allow everyone to be involved in the collection and use of information. Many more types of information will become available to any worker in a compelling, easy-to-understand way. 

 

 

Let’s Speak: VR language meetups — from account.altvr.com

 

 

 

 

Smart Machines & Human Expertise: Challenges for Higher Education — from er.educause.edu by Diana Oblinger

Excerpts:

What does this mean for higher education? One answer is that AI, robotics, and analytics become disciplines in themselves. They are emerging as majors, minors, areas of emphasis, certificate programs, and courses in many colleges and universities. But smart machines will catalyze even bigger changes in higher education. Consider the implications in three areas: data; the new division of labor; and ethics.

 

Colleges and universities are challenged to move beyond the use of technology to deliver education. Higher education leaders must consider how AI, big data, analytics, robotics, and wide-scale collaboration might change the substance of education.

 

Higher education leaders should ask questions such as the following:

  • What place does data have in our courses?
  • Do students have the appropriate mix of mathematics, statistics, and coding to understand how data is manipulated and how algorithms work?
  • Should students be required to become “data literate” (i.e., able to effectively use and critically evaluate data and its sources)?

Higher education leaders should ask questions such as the following:

  • How might problem-solving and discovery change with AI?
  • How do we optimize the division of labor and best allocate tasks between humans and machines?
  • What role do collaborative platforms and collective intelligence have in how we develop and deploy expertise?


Higher education leaders should ask questions such as the following:

  • Even though something is possible, does that mean it is morally responsible?
  • How do we achieve a balance between technological possibilities and policies that enable—or stifle—their use?
  • An algorithm may represent a “trade secret,” but it might also reinforce dangerous assumptions or result in unconscious bias. What kind of transparency should we strive for in the use of algorithms?

 

 

 

It’s time to address artificial intelligence’s ethical problems — from wired.co.uk by Abigail Beall
AI is already helping us diagnose cancer and understand climate change, but regulation and oversight are needed to stop the new technology being abused

Excerpt:

The potential for AI to do good is immense, says Taddeo. Technology using artificial intelligence will have the capability to tackle issues “from environmental disasters to financial crises, from crime, terrorism and war, to famine, poverty, ignorance, inequality, and appalling living standards,” she says.

Yet AI is not without its problems. In order to ensure it can do good, we first have to understand the risks.

The potential problems that come with artificial intelligence include a lack of transparency about what goes into the algorithms. For example, an autonomous vehicle developed by researchers at the chip maker Nvidia went on the roads in 2016, without anyone knowing how it made its driving decisions.

 

 

15 more companies that no longer require a degree — apply now — from glassdoor.com

Excerpt:

With college tuition soaring nationwide, many Americans don’t have the time or money to earn a college degree. However, that doesn’t mean your job prospects are diminished. Increasingly, there are many companies offering well-paying jobs to those with non-traditional education or a high-school diploma.

Google and Ernest & Young are just two of the champion companies who realize that book smarts don’t necessarily equal strong work ethic, grit and talent. Whether you have your GED and are looking for a new opportunity or charting your own path beyond the traditional four-year college route, here are 15 companies that have said they do not require a college diploma for some of their top jobs.

 

From DSC:
Several years ago when gas prices were sky high, I couldn’t help but think that some industries — though they were able to grab some significant profits in the short term — were actually shooting themselves in the foot for the longer term. Sure enough, as time went by, people started looking for less expensive alternatives. For example, they started buying more hybrid vehicles, more electric cars, and the sales of smaller cars and lighter trucks increased. The average fuel economy of vehicles went up (example). The goal was to reduce or outright eliminate the number of trips to the gas station that people were required to make.  

These days…I wonder if the same kind of thing is happening — or about to happen — with traditional institutions of higher education*? Are we shooting ourselves in the foot?

Traditional institutions of higher education better find ways to adapt, and to change their game (so to speak), before the alternatives to those organizations gain some major steam. There is danger in the status quo. Count on it. The saying, “Adapt or die” has now come to apply to higher ed as well.

Faculty, staff, and administrators within higher ed are beginning to experience what the corporate world has been experiencing for decades.

Faculty can’t just teach what they want to teach. They can’t just develop courses that they are interested in. The demand for courses that aren’t attractive career-wise will likely continue to decrease. Sure, it can be argued that many of those same courses — especially from the liberal arts colleges — are still valuable…and I would agree with some of those arguments. But the burden of proof continues to be shifted to the shoulders of those proposing such curricula.

Also, the costs of obtaining a degree needs to come down or:

  • The gorillas of debt on peoples’ backs will become a negative word of mouth that will be hard to compete against or adequately address as time goes by
  • The angst towards higher ed will continue to build
  • People will bolt for those promising alternatives to traditional higher ed where the graduates (badge earners, or whatever they’re going to be called) of those programs are hired and shown to be effective employees
  • I hope that this isn’t the case and that it’s not too late to change…but history will likely show that higher ed shot itself in the foot. The warning signs were all over the place.

 

 

The current trends are paving the way for a next generation learning platform that will serve someone from cradle to grave.

 

 

* I realize that many in higher ed would immediately dispute that their organizations are out to grab short term profits, that they don’t operate like a business, that they don’t operate under the same motivations as the corporate world, etc.  And I can see some of these folks’ points, no doubt. I may even agree with some of the folks who represent organizations who freely share information with other organizations and have motivations other than making tons of money.  But for those folks who staunchly hold to the belief that higher ed isn’t a business at all — well, for me, that’s taking things way too far. I do not agree with that perspective at all. One has to have their eyes (and minds) closed to cling to that perspective anymore. Just don’t ask those folks to tell you how much their presidents make (along with other higher-level members of their administrations), the salaries of the top football coaches, or how many millions of dollars many universities’ receive for their television contracts and/or their ticket sales, or how much revenue research universities bring in from patents and so on and so forth.

 

 



Addendum on 8/24, per University Ventures e-newsletter

2. Facebook Goes Back to College (emphasis DSC)
TechCrunch report on how digital giants are buying into Last-Mile Training by partnering with Pathstream to deliver necessary digital skills to community college students.
Most good first jobs specifically require one or more technologies like Facebook or Unity — technologies that colleges and universities aren’t teaching. If Pathstream is able to realize its vision of integrating industry-relevant software training into degree programs in a big way, colleges and universities have a shot at maintaining their stranglehold as the sole pathway to successful careers. If Pathstream’s impact is more limited, watch for millions of students to sidestep traditional colleges, and enroll in emerging faster and cheaper alternative pathways to good first jobs — alternative pathways that will almost certainly integrate the kind of last-mile training being pioneered by Pathstream.

 

America’s colleges and universities could learn a thing or two from Leo, because they continue to resist teaching students the practical things they’ll need to know as soon as they graduate; for instance, to get jobs that will allow them to make student loan payments. Digital skills head this list, specifically experience with the high-powered software they’ll be required to use every day in entry-level positions.

But talk to a college president or provost about the importance of Marketo, HubSpot, Pardot, Tableau, Adobe and Autodesk for their graduates, and they’re at a loss for how to integrate last-mile training into their degree programs in order prepare students to work on these essential software platforms.

Enter a new company, Pathstream, which just announced a partnership with tech leader Unity and previously partnered with Facebook. Pathstream supports the delivery of career-critical software skill training in VR/AR and digital marketing at colleges and universities.

 



 

Addendum on 8/24, per University Ventures e-newsletter
3. Faster + Cheaper Alternatives to College
Inside Higher Education Q&A on upcoming book A New U: Faster + Cheaper Alternatives to College.
Last-mile training is the inevitable by-product of two crises, one generally understood, the other less so. The crisis everyone understands is affordability and unsustainable levels of student loan debt. The other crisis is employability. Nearly half of all college graduates are underemployed in their first job. And we know that underemployment is pernicious and lasting. According to the recent report from Strada’s Institute for the Future of Work, two-thirds of underemployed graduates remain underemployed five years later, and half remain underemployed a decade later. So today’s students no longer buy that tired college line that “we prepare you for your fifth job, not your first job.” They know that if they don’t get a good first job, they’re probably not going to get a good fifth job. As a result, today’s students are laser-focused on getting a good first job in a growing sector of the economy.

 

 

 

Three AI and machine learning predictions for 2019 — from forbes.com by Daniel Newman

Excerpt:

What could we potentially see next year? New and innovative uses for machine learning? Further evolution of human and machine interaction? The rise of AI assistants? Let’s dig deeper into AI and machine learning predictions for the coming months.

 

2019 will be a year of development for the AI assistant, showing us just how powerful and useful these tools are. It will be in more places than your home and your pocket too. Companies such as Kia and Hyundai are planning to include AI assistants in their vehicles starting in 2019. Sign me up for a new car! I’m sure that Google, Apple, and Amazon will continue to make advancements to their AI assistants making our lives even easier.

 

 

DeepMind AI matches health experts at spotting eye diseases — from endgadget.com by Nick Summers

Excerpt:

DeepMind has successfully developed a system that can analyze retinal scans and spot symptoms of sight-threatening eye diseases. Today, the AI division — owned by Google’s parent company Alphabet — published “early results” of a research project with the UK’s Moorfields Eye Hospital. They show that the company’s algorithms can quickly examine optical coherence tomography (OCT) scans and make diagnoses with the same accuracy as human clinicians. In addition, the system can show its workings, allowing eye care professionals to scrutinize the final assessment.

 

 

Microsoft and Amazon launch Alexa-Cortana public preview for Echo speakers and Windows 10 PCs — from venturebeat.com by Khari Johnson

Excerpt:

Microsoft and Amazon will bring Alexa and Cortana to all Echo speakers and Windows 10 users in the U.S. [on 8/15/18]. As part of a partnership between the Seattle-area tech giants, you can say “Hey Cortana, open Alexa” to Windows 10 PCs and “Alexa, open Cortana” to a range of Echo smart speakers.

The public preview bringing the most popular AI assistant on PCs together with the smart speaker with the largest U.S. market share will be available to most people today but will be rolled out to all users in the country over the course of the next week, a Microsoft spokesperson told VentureBeat in an email.

Each of the assistants brings unique features to the table. Cortana, for example, can schedule a meeting with Outlook, create location-based reminders, or draw on LinkedIn to tell you about people in your next meeting. And Alexa has more than 40,000 voice apps or skills made to tackle a broad range of use cases.

 

 

What Alexa can and cannot do on a PC — from venturebeat.com by Khari Johnson

Excerpt:

Whatever happened to the days of Alexa just being known as a black cylindrical speaker? Since the introduction of the first Echo in fall 2014, Amazon’s AI assistant has been embedded in a number of places, including car infotainment systems, Alexa smartphone apps, wireless headphones, Echo Show and Fire tablets, Fire TV Cube for TV control, the Echo Look with an AI-powered fashion assistant, and, in recent weeks, personal computers.

Select computers from HP, Acer, and others now make Alexa available to work seamlessly alongside Microsoft’s Cortana well ahead of the Alexa-Cortana partnership for Echo speakers and Windows 10 devices, a project that still has no launch date.

 

 

2018 NMC Horizon Report: The trends, challenges, and developments likely to influence ed tech

2018 NMC Horizon Report — from library.educause.edu

Excerpt:

What is on the five-year horizon for higher education institutions? Which trends and technology developments will drive educational change? What are the critical challenges and how can we strategize solutions? These questions regarding technology adoption and educational change steered the discussions of 71 experts to produce the NMC Horizon Report: 2018 Higher Education Edition brought to you by EDUCAUSE. This Horizon Report series charts the five-year impact of innovative practices and technologies for higher education across the globe. With more than 16 years of research and publications, the Horizon Project can be regarded as one of education’s longest-running explorations of emerging technology trends and uptake.

Six key trends, six significant challenges, and six developments in educational technology profiled in this higher education report are likely to impact teaching, learning, and creative inquiry in higher education. The three sections of this report constitute a reference and technology planning guide for educators, higher education leaders, administrators, policymakers, and technologists.

 

2018 NMC Horizon Report -- a glance at the trends, challenges, and developments likely to influence ed tech -- visual graphic

 

Also see:

 

 

10 steps to achieving active learning on a budget — from campustechnology.com by Dian Schaffhauser
Active learning often means revamping classrooms to enable more collaborative, hands-on student work — and that can be costly. Here’s how to achieve the pedagogical change without the high expense.

Excerpt:

Active learning is a great way to increase student excitement and participation, facilitate different kinds of learning activities, help people develop skills in small group work, promote discussion, boost attendance and give an outlet for technology usage that stays on track. It also requires remaking classrooms to enable that hands-on, collaborative student work — and that can often mean a six-figure price tag. But at Saint Anselm College in Manchester, NH, a $12,000 experiment proved successful enough that the institution now sports two permanent active learning classrooms as well as a brand-new active learning lab. Here are the 10 steps this school with just under 2,000 students followed on its road to active learning victory.

 

the article being linked here is entitled 10 steps to achieving active learning on a budget

 

 

Also see:

 

 

 

The title of this article being linked to is: Augmented and virtual reality mean business: Everything you need to know

 

Augmented and virtual reality mean business: Everything you need to know — from zdnet by Greg Nichols
An executive guide to the technology and market drivers behind the hype in AR, VR, and MR.

Excerpt:

Overhyped by some, drastically underestimated by others, few emerging technologies have generated the digital ink like virtual reality (VR), augmented reality (AR), and mixed reality (MR).  Still lumbering through the novelty phase and roller coaster-like hype cycles, the technologies are only just beginning to show signs of real world usefulness with a new generation of hardware and software applications aimed at the enterprise and at end users like you. On the line is what could grow to be a $108 billion AR/VR industry as soon as 2021. Here’s what you need to know.

 

The reason is that VR environments by nature demand a user’s full attention, which make the technology poorly suited to real-life social interaction outside a digital world. AR, on the other hand, has the potential to act as an on-call co-pilot to everyday life, seamlessly integrating into daily real-world interactions. This will become increasingly true with the development of the AR Cloud.

The AR Cloud
Described by some as the world’s digital twin, the AR Cloud is essentially a digital copy of the real world that can be accessed by any user at any time.

For example, it won’t be long before whatever device I have on me at a given time (a smartphone or wearable, for example) will be equipped to tell me all I need to know about a building just by training a camera at it (GPS is operating as a poor-man’s AR Cloud at the moment).

What the internet is for textual information, the AR Cloud will be for the visible world. Whether it will be open source or controlled by a company like Google is a hotly contested issue.

 

Augmented reality will have a bigger impact on the market and our daily lives than virtual reality — and by a long shot. That’s the consensus of just about every informed commentator on the subject.

 

 

 

Mixed reality will transform learning (and Magic Leap joins act one) — from edsurge.com by Maya Georgieva

Excerpt:

Despite all the hype in recent years about the potential for virtual reality in education, an emerging technology known as mixed reality has far greater promise in and beyond the classroom.

Unlike experiences in virtual reality, mixed reality interacts with the real world that surrounds us. Digital objects become part of the real world. They’re not just digital overlays, but interact with us and the surrounding environment.

If all that sounds like science fiction, a much-hyped device promises some of those features later this year. The device is by a company called Magic Leap, and it uses a pair of goggles to project what the company calls a “lightfield” in front of the user’s face to make it look like digital elements are part of the real world. The expectation is that Magic Leap will bring digital objects in a much more vivid, dynamic and fluid way compared to other mixed-reality devices such as Microsoft’s Hololens.

 

The title of the article being linked to here is Mixed reality will transform learning (and Magic Leap joins act one)

 

Now think about all the other things you wished you had learned this way and imagine a dynamic digital display that transforms your environment and even your living room or classroom into an immersive learning lab. It is learning within a highly dynamic and visual context infused with spatial audio cues reacting to your gaze, gestures, gait, voice and even your heartbeat, all referenced with your geo-location in the world. Unlike what happens with VR, where our brain is tricked into believing the world and the objects in it are real, MR recognizes and builds a map of your actual environment.

 

 

 

Also see:

virtualiteach.com
Exploring The Potential for the Vive Focus in Education

 

virtualiteach.com

 

 

 

Digital Twins Doing Real World Work — from stambol.com

Excerpt:

On the big screen it’s become commonplace to see a 3D rendering or holographic projection of an industrial floor plan or a mechanical schematic. Casual viewers might take for granted that the technology is science fiction and many years away from reality. But today we’re going to outline where these sophisticated virtual replicas – Digital Twins – are found in the real world, here and now. Essentially, we’re talking about a responsive simulated duplicate of a physical object or system. When we first wrote about Digital Twin technology, we mainly covered industrial applications and urban infrastructure like transit and sewers. However, the full scope of their presence is much broader, so now we’re going to break it up into categories.

 

The title of the article being linked to here is Digital twins doing real world work

 

Digital twin — from Wikipedia

Digital twin refers to a digital replica of physical assets (physical twin), processes and systems that can be used for various purposes.[1] The digital representation provides both the elements and the dynamics of how an Internet of Things device operates and lives throughout its life cycle.[2]

Digital twins integrate artificial intelligence, machine learning and software analytics with data to create living digital simulation models that update and change as their physical counterparts change. A digital twin continuously learns and updates itself from multiple sources to represent its near real-time status, working condition or position. This learning system, learns from itself, using sensor data that conveys various aspects of its operating condition; from human experts, such as engineers with deep and relevant industry domain knowledge; from other similar machines; from other similar fleets of machines; and from the larger systems and environment in which it may be a part of. A digital twin also integrates historical data from past machine usage to factor into its digital model.

In various industrial sectors, twins are being used to optimize the operation and maintenance of physical assets, systems and manufacturing processes.[3] They are a formative technology for the Industrial Internet of Things, where physical objects can live and interact with other machines and people virtually.[4]

 

 

Disney to debut its first VR short next month — from techcrunch.com by Sarah Wells

Excerpt:

Walt Disney Animation Studio is set to debut its first VR short film, Cycles, this August in Vancouver, the Association for Computing Machinery announced today. The plan is for it to be a headliner at the ACM’s computer graphics conference (SIGGRAPH), joining other forms of VR, AR and MR entertainment in the conference’s designated Immersive Pavilion.

This film is a first for both Disney and its director, Jeff Gipson, who joined the animation team in 2013 to work as a lighting artist on films like Frozen, Zootopia and Moana. The objective of this film, Gipson said in the statement released by ACM, is to inspire a deep emotional connection with the story.

“We hope more and more people begin to see the emotional weight of VR films, and with Cycles in particular, we hope they will feel the emotions we aimed to convey with our story,” said Gipson.

 

 

 

 

 

Inside China’s Dystopian Dreams: A.I., Shame and Lots of Cameras — from nytimes.com by Paul Mozur

Excerpts:

ZHENGZHOU, China — In the Chinese city of Zhengzhou, a police officer wearing facial recognition glasses spotted a heroin smuggler at a train station.

In Qingdao, a city famous for its German colonial heritage, cameras powered by artificial intelligence helped the police snatch two dozen criminal suspects in the midst of a big annual beer festival.

In Wuhu, a fugitive murder suspect was identified by a camera as he bought food from a street vendor.

With millions of cameras and billions of lines of code, China is building a high-tech authoritarian future. Beijing is embracing technologies like facial recognition and artificial intelligence to identify and track 1.4 billion people. It wants to assemble a vast and unprecedented national surveillance system, with crucial help from its thriving technology industry.

 

In some cities, cameras scan train stations for China’s most wanted. Billboard-size displays show the faces of jaywalkers and list the names of people who don’t pay their debts. Facial recognition scanners guard the entrances to housing complexes. Already, China has an estimated 200 million surveillance cameras — four times as many as the United States.

Such efforts supplement other systems that track internet use and communications, hotel stays, train and plane trips and even car travel in some places.

 

 

A very slippery slope has now been setup in China with facial recognition infrastructures

 

From DSC:
A veeeeery slippery slope here. The usage of this technology starts out as looking for criminals, but then what’s next? Jail time for people who disagree w/ a government official’s perspective on something? Persecution for people seen coming out of a certain place of worship?  

Very troubling stuff here….

 

 

 

State of AI — from stateof.ai

Excerpt:

In this report, we set out to capture a snapshot of the exponential progress in AI with a focus on developments in the past 12 months. Consider this report as a compilation of the most interesting things we’ve seen that seeks to trigger informed conversation about the state of AI and its implication for the future.

We consider the following key dimensions in our report:

  • Research: Technology breakthroughs and their capabilities.
  • Talent: Supply, demand and concentration of talent working in the field.
  • Industry: Large platforms, financings and areas of application for AI-driven innovation today and tomorrow.
  • Politics: Public opinion of AI, economic implications and the emerging geopolitics of AI.

 

definitions of terms involved in AI

definitions of terms involved in AI

 

hard to say how AI is impacting jobs yet -- but here are 2 perspectives

 

 

There’s nothing artificial about how AI is changing the workplace — from forbes.com by Eric Yuan

Excerpt:

As I write this, AI has already begun to make video meetings even better. You no longer have to spend time entering codes or clicking buttons to launch a meeting. Instead, with voice-based AI, video conference users can start, join or end a meeting by simply speaking a command (think about how you interact with Alexa).

Voice-to-text transcription, another artificial intelligence feature offered by Otter Voice Meeting Notes (from AISense, a Zoom partner), Voicefox and others, can take notes during video meetings, leaving you and your team free to concentrate on what’s being said or shown. AI-based voice-to-text transcription can identify each speaker in the meeting and save you time by letting you skim the transcript, search and analyze it for certain meeting segments or words, then jump to those mentions in the script. Over 65% of respondents from the Zoom survey said they think AI will save them at least one hour a week of busy work, with many claiming it will save them one to five hours a week.

 

 

 

AI can now ‘listen’ to machines to tell if they’re breaking down — from by Rebecca Campbell

Excerpt:

Sound is everywhere, even when you can’t hear it.

It is this noiseless sound, though, that says a lot about how machines function.

Helsinki-based Noiseless Acoustics and Amsterdam-based OneWatt are relying on artificial intelligence (AI) to better understand the sound patterns of troubled machines. Through AI they are enabling faster and easier problem detection.

 

Making sound visible even when it can’t be heard. With the aid of non-invasive sensors, machine learning algorithms, and predictive maintenance solutions, failing components can be recognized at an early stage before they become a major issue.

 

 

 

Chinese university uses facial recognition for campus entry — from cr80news.com by Andrew Hudson

Excerpt:

A number of higher education institutions in China have deployed biometric solutions for access and payments in recent months, and adding to the list is Peking University. The university has now installed facial recognition readers at perimeter access gates to control access to its Beijing campus.

As reported by the South China Morning Post, anyone attempting to enter through the southwestern gate of the university will no longer have to provide a student ID card. Starting this month, students will present their faces to a camera as part of a trial run of the system ahead of full-scale deployment.

From DSC:
I’m not sure I like this one at all — and the direction that this is going in. 

 

 

 

Will We Use Big Data to Solve Big Problems? Why Emerging Technology is at a Crossroads — from blog.hubspot.com by Justin Lee

Excerpt:

How can we get smarter about machine learning?
As I said earlier, we’ve reached an important crossroads. Will we use new technologies to improve life for everyone, or to fuel the agendas of powerful people and organizations?

I certainly hope it’s the former. Few of us will run for president or lead a social media empire, but we can all help to move the needle.

Consume information with a critical eye.
Most people won’t stop using Facebook, Google, or social media platforms, so proceed with a healthy dose of skepticism. Remember that the internet can never be objective. Ask questions and come to your own conclusions.

Get your headlines from professional journalists.
Seek credible outlets for news about local, national and world events. I rely on the New York Times and the Wall Street Journal. You can pick your own sources, but don’t trust that the “article” your Aunt Marge just posted on Facebook is legit.

 

 

 

 
© 2025 | Daniel Christian