Posts Tagged ‘AI artificial intelligence’

productivity based on ML and AI

Artificial intelligence (AI) training costs, for example, are dropping 40-70% at an annual rate, a record-breaking deflationary force. AI is likely to transform every sector, industry, and company during the 5 to 10 years.

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More on artificial intelligence in this blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education

Unity for Humanity Summit

Imagining a better world at the Unity for Humanity Summit

https://blog.unity.com/news/imagining-a-better-world-at-the-unity-for-humanity-summit

On October 12, the Unity for Humanity Summit will once again take place virtually to celebrate creators who are using real-time 3D (RT3D) for social impact.

Since the inaugural Unity for Humanity Summit in October 2020, we have awarded more than $2.5 million to support current and future social impact creators who are building RT3D experiences that have a positive and meaningful impact on society and the planet through the Unity for Humanity program and the Unity Charitable Fund.

four content tracks and some of the exciting topics and workshops

Education and Inclusive Economic Opportunity

  • Workshop: How to make your first Unity build
  • Different global models for creating inclusive economic opportunity
  • How to leverage real-time 3D for workforce development and training

Environment and Sustainability

  • What the gaming industry can do to support a healthier planet: From decarbonization of gaming operations to activating users
  • Visualizing the future of climate change
  • How the fashion industry is innovating for sustainability using RT3D

Digital Health and Wellbeing

  • Using AI for social good in and beyond the age of COVID
  • The role RT3D can play in the advancement of patient care, healthcare training, and more
  • Funding healthcare innovations and real-time 3D tools

Tools for Changemakers

  • Monetizing your social impact mobile game
  • An AR tutorial taught through multiple use cases
  • Pitching brands to support your impact projects
  • Visual scripting workshop

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more on Unity in this IMS blog
https://blog.stcloudstate.edu/ims?s=unity

What is AI

What is AI? Here’s everything you need to know about artificial intelligence

An executive guide to artificial intelligence, from machine learning and general AI to neural networks.

https://www-zdnet-com.cdn.ampproject.org/c/s/www.zdnet.com/google-amp/article/what-is-ai-heres-everything-you-need-to-know-about-artificial-intelligence/

What is artificial intelligence (AI)?

It depends who you ask.

What are the uses for AI?

What are the different types of AI?

Narrow AI is what we see all around us in computers today — intelligent systems that have been taught or have learned how to carry out specific tasks without being explicitly programmed how to do so.

General AI

General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience.

What can Narrow AI do?

There are a vast number of emerging applications for narrow AI:

  • Interpreting video feeds from drones carrying out visual inspections of infrastructure such as oil pipelines.
  • Organizing personal and business calendars.
  • Responding to simple customer-service queries.
  • Coordinating with other intelligent systems to carry out tasks like booking a hotel at a suitable time and location.
  • Helping radiologists to spot potential tumors in X-rays.
  • Flagging inappropriate content online, detecting wear and tear in elevators from data gathered by IoT devices.
  • Generating a 3D model of the world from satellite imagery… the list goes on and on.

What can General AI do?

A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C Müller and philosopher Nick Bostrom reported a 50% chance that Artificial General Intelligence (AGI) would be developed between 2040 and 2050, rising to 90% by 2075.

What is machine learning?

What are neural networks?

What are other types of AI?

Another area of AI research is evolutionary computation.

What is fueling the resurgence in AI?

What are the elements of machine learning?

As mentioned, machine learning is a subset of AI and is generally split into two main categories: supervised and unsupervised learning.

Supervised learning

Unsupervised learning

ai-ml-gartner-hype-cycle.jpg

Which are the leading firms in AI?

Which AI services are available?

All of the major cloud platforms — Amazon Web Services, Microsoft Azure and Google Cloud Platform — provide access to GPU arrays for training and running machine-learning models, with Google also gearing up to let users use its Tensor Processing Units — custom chips whose design is optimized for training and running machine-learning models.

Which countries are leading the way in AI?

It’d be a big mistake to think the US tech giants have the field of AI sewn up. Chinese firms Alibaba, Baidu, and Lenovo, invest heavily in AI in fields ranging from e-commerce to autonomous driving. As a country, China is pursuing a three-step plan to turn AI into a core industry for the country, one that will be worth 150 billion yuan ($22bn) by the end of 2020 to become the world’s leading AI power by 2030.

How can I get started with AI?

While you could buy a moderately powerful Nvidia GPU for your PC — somewhere around the Nvidia GeForce RTX 2060 or faster — and start training a machine-learning model, probably the easiest way to experiment with AI-related services is via the cloud.

How will AI change the world?

Robots and driverless cars

Fake news

Facial recognition and surveillance

Healthcare

Reinforcing discrimination and bias 

AI and global warming (climate change)

Will AI kill us all?

 

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more on AI in this iMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education

NSF AI Institute for Adult Learning and Online Education (ALOE)

NSF investing $20 million in Georgia-led effort to transform online education for adults

Project centers on artificial intelligence; new National Institute in AI to be headquartered at Georgia Tech

https://gra.org/blog/209

“The goal of ALOE is to develop new artificial intelligence theories and techniques to make online education for adults at least as effective as in-person education in STEM fields,” says Co-PI Ashok Goel, Professor of Computer Science and Human-Centered Computing and the Chief Scientist with the Center for 21stCentury Universities at Georgia Tech

Research and development at ALOE aims to blend online educational resources and courses to make education more widely available, as well as use virtual assistants to make it more affordable and achievable. According to Goel, ALOE will make fundamental advances in personalization at scale, machine teaching, mutual theory of mind and responsible AI.

The ALOE Institute represents a powerful consortium of several universities (Arizona State, Drexel, Georgia Tech, Georgia State, Harvard, UNC-Greensboro); technical colleges in TCSG; major industrial partners (Boeing, IBM and Wiley); and non-profit organizations (GRA and IMS).

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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence

https://blog.stcloudstate.edu/ims?s=online+education

 

AI Technology in Education Will Grow 40%

AI Technology in Education Will Grow 40% Annually Until 2027

According to the author of the report, one of the participants in the AI education market will be IBM, AWS, Microsoft, Google, Nuance, Century Tech, Blackboard, Pearson, Cognii, Volley.com, Blippar, Knewton, Jenzabar, Content Technologies, PLEIQ, Luilishuo, Pixatel System, Cerevrum Inc., CheckiO, and Quantum Adaptive Learning.

Europe is expected to hold a significant market share with supportive government initiatives.

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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence

New Elements of Digital Transformation

The New Elements of Digital Transformation

https://sloanreview-mit-edu.cdn.ampproject.org/c/s/sloanreview.mit.edu/article/the-new-elements-of-digital-transformation/amp

2014, “The Nine Elements of Digital Transformation

It requires that companies become what we call digital masters. Digital masters cultivate two capabilities: digital capability, which enables them to use innovative technologies to improve elements of the business, and leadership capability, which enables them to envision and drive organizational change in systematic and profitable ways. Together, these two capabilities allow a company to transform digital technology into business advantage.

We found that the elements of leadership capability have endured, but new elements of digital capability have come to the fore.

While strong leadership capability is even more essential than ever, its core elements — vision, engagement, and governance — are not fundamentally changed, though they are informed by recent innovations. The elements of digital capability, on the other hand, have been more profoundly altered by the rapid technological advances of recent years.

The New Elements of Digital Capability

Experience design: Customer experience has become the ultimate battleground for many companies and brands.

Customer intelligence: Integrating customer data across silos and understanding customer behavior

Emotional engagement: Emotional connections with customers are as essential as technology in creating compelling customer experiences.

As ever, well-managed operations are essential to converting revenue into profit, but now we’re seeing a shift in the focus of digital transformation in this arena.

Core process automation: Amazon’s distribution centers deliver inventory to workers rather than sending workers to collect inventory. Rio Tinto, an Australian mining company, uses autonomous trucks, trains, and drilling machinery so that it can shift workers to less dangerous tasks, leading to higher productivity and better safety.

Connected and dynamic operations: Thanks to the growing availability of cheap sensors, cloud infrastructure, and machine learning, concepts such as Industry 4.0, digital threads, and digital twins have become a reality. Digital threads connecting machines, models, and processes provide a single source of truth to manage, optimize, and enhance processes from requirements definition through maintenance.

Data-driven decision-making: from backward-looking reports to real-time data. Now, connected devices, new machine learning algorithms, smarter experimentation, and plentiful data enable more-informed decisions.

Transforming Employee Experience

Augmentation: Warnings that robots will replace humans have given way to a more nuanced and productive discussion.
Workers in Huntington Ingalls Industries’ shipyard use augmented reality to help build giant complex vessels such as aircraft carriers and submarines. They can “see” where to route wires or pipes or what is behind a wall before they start drilling into it.

Future-readying: providing employees with the skills they need to keep up with the pace of change. In the past few years, this has given rise to new models of managing learning and development in organizations, led by a new kind of chief learning officer, whom we call the transformer CLO

Flexforcing: To respond to fast-paced digital opportunities and threats, companies also need to build agility into their talent sourcing systems. As automation and AI applications take over tasks once performed by humans, some companies are multiskilling employees to make the organization more agile.

Transforming Business Models

three elements supporting business model transformation: digital enhancements, information-based service extensions, and multisided platforms.

 

AI use in education

EDUCAUSE QuickPoll Results: Artificial Intelligence Use in Higher Education

D. Christopher Brooks” Friday, June 11, 2021

https://er.educause.edu/articles/2021/6/educause-quickpoll-results-artificial-intelligence-use-in-higher-education

AI is being used to monitor students and their work. The most prominent uses of AI in higher education are attached to applications designed to protect or preserve academic integrity through the use of plagiarism-detection software (60%) and proctoring applications (42%) (see figure 1).

The chatbots are coming! A sizable percentage (36%) of respondents reported that chatbots and digital assistants are in use at least somewhat on their campuses, with another 17% reporting that their institutions are in the planning, piloting, and initial stages of use (see figure 2). The use of chatbots in higher education by admissions, student affairs, career services, and other student success and support units is not entirely new, but the pandemic has likely contributed to an increase in their use as they help students get efficient, relevant, and correct answers to their questions without long waits.Footnote10 Chatbots may also liberate staff from repeatedly responding to the same questions and reduce errors by deploying updates immediately and universally.

AI is being used for student success tools such as identifying students who are at-risk academically (22%) and sending early academic warnings (16%); another 14% reported that their institutions are in the stage of planning, piloting, and initial usage of AI for these tasks.

Nearly three-quarters of respondents said that ineffective data management and integration (72%) and insufficient technical expertise (71%) present at least a moderate challenge to AI implementation. Financial concerns (67%) and immature data governance (66%) also pose challenges. Insufficient leadership support (56%) is a foundational challenge that is related to each of the previous listed challenges in this group.

Current use of AI

  • Chatbots for informational and technical support, HR benefits questions, parking questions, service desk questions, and student tutoring
  • Research applications, conducting systematic reviews and meta-analyses, and data science research (my italics)
  • Library services (my italics)
  • Recruitment of prospective students
  • Providing individual instructional material pathways, assessment feedback, and adaptive learning software
  • Proctoring and plagiarism detection
  • Student engagement support and nudging, monitoring well-being, and predicting likelihood of disengaging the institution
  • Detection of network attacks
  • Recommender systems

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more on AI in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+education

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