Posts Tagged ‘AI artificial intelligence’
Understanding the 4 Types of Artificial Intelligence (AI)
https://www.linkedin.com/pulse/understanding-4-types-artificial-intelligence-ai-bernard-marr/
Reactive AI
Examples of reactive AI include:
- Deep Blue, the chess-playing IBM supercomputer that bested world champion Garry Kasparov
- Spam filters for our email that keep promotions and phishing attempts out of our inboxes
- The Netflix recommendation engine
Limited Memory AI
For example, autonomous vehicles use limited memory AI to observe other cars’ speed and direction, helping them “read the road” and adjust as needed. This process for understanding and interpreting incoming data makes them safer on the roads.
Theory of Mind AI
The Kismet robot head, developed by Professor Cynthia Breazeal, could recognize emotional signals on human faces and replicate those emotions on its own face. Humanoid robot Sophia, developed by Hanson Robotics in Hong Kong, can recognize faces and respond to interactions with her own facial expressions.
Self-aware AI
The most advanced type of artificial intelligence is self-aware AI. When machines can be aware of their own emotions, as well as the emotions of others around them, they will have a level of consciousness and intelligence similar to human beings. This type of AI will have desires, needs, and emotions as well.
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
https://www.insidehighered.com/digital-learning/blogs/online-trending-now/badging-blockchain-documenting-skills-learned
LinkedIn’s 2020 list of skills in most demand includes these soft skills at the very top:
- Creativity
- Persuasion
- Collaboration
- Adaptability
And these hard skills at the very top:
- Blockchain
- Cloud computing
- Analytical reasoning
- Artificial intelligence
Further steps have been taken independently by universities that are utilizing blockchain technology to disseminate transcripts containing rich detail and documentation not available in the traditional paper document.
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more on blockchain in this IMS blog
https://blog.stcloudstate.edu/ims?s=blockchain
more on microcredentialing in this IMS blog
https://blog.stcloudstate.edu/ims?s=microcredential
Defining a Tech Cycle and Where Augmented Reality and Virtual Reality Stand
Defining a Tech Cycle and Where Augmented Reality and Virtual Reality Stand
we have started a new tech cycle, with the combination of augmented reality, virtual reality, and artificial intelligence.
tech cycle definition:
A tech cycle is usually a 30-35 year-long period that begins with the early commercialization of a group of technologies and ends with the mass adoption and daily use of the technologies by consumers, businesses and organizations.
Predictions For the XR Tech Space
Some predict the rise of AR glasses, leading to the death of smartphones. Others dream of a future where VR replaces the need to go to a physical office, with most meetings taking place in virtual environments. AI will come to life with AI-controlled avatars participating in VR worlds and advising as our own AR advisors and consultants.
We are still in the early innings of this tech cycle, we are looking at the beginning of the adoption of AR, VR, and AI (mass adoption is quite a few years out). This inevitable future has been accelerated by COVID-19, as many have turned to virtual reality and augmented reality as ways to socialize while keeping a social distance.
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https://blog.stcloudstate.edu/ims/2021/03/25/apple-headset/
Facebook Lab Reveals Direction Of AR Smartglasses
https://www.forbes.com/sites/charliefink/2021/03/18/facebook-lab-reveals-direction-of-ar-smartglasses/
FRL presented their concept of the “intelligent click,” a series of gestures, some large, some nearly unconscious nerve impulses, detected by a wrist band. This would communicate intent to the operating AI which would know, and anticipate, what the user needs to know, before the user knows they need it.
its goal is a “human centered interface,” which will use preferences and surroundings to infer intent, creating an “ultra low friction” computing experience.
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more on AR in this IMS blog
https://blog.stcloudstate.edu/ims?s=Augmented+reality
U.S. is ‘not prepared to defend or compete in the A.I. era,’ says expert group chaired by Eric Schmidt – In a report, it warned that AI systems will be used in the “pursuit of power” and that “AI will not stay in the domain of superpowers or the realm of science fiction.” from r/Futurology
https://www.cnbc.com/2021/03/02/us-not-prepared-to-defend-or-compete-in-ai-era-says-eric-schmidt-group.html
The National Security Commission on AI warned in a 756-page report on Monday that China could soon replace the U.S. as the world’s “AI superpower” and said there are serious military implications to consider.
The 15 members of the commission include technologists, national security professionals, business executives and academic leaders. Among them are Amazon’s next CEO, Andy Jassy, Oracle CEO Safra Catz, Microsoft Chief Scientific Officer Eric Horvitz and Google Cloud AI chief Andrew Moore.
China has stated that it wants to be a global leader in AI by 2030. The report’s authors have said it is vital that the U.S. does all it can to eliminate the chance of this happening.
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more on cybersecurity in this IMS blog
https://blog.stcloudstate.edu/ims?s=cybersecurity
AI progress depends on us using less data, not more
A minimal-data practice will enable several AI-driven industries — including cyber security, which is my own area of focus — to become more efficient, accessible, independent, and disruptive.
1. AI has a compute addiction. The growing fear is that new advancements in experimental AI research, which frequently require formidable datasets supported by an appropriate compute infrastructure, might be stemmed due to compute and memory constraints, not to mention the financial and environmental costs of higher compute needs.
MIT researchers estimated that “three years of algorithmic improvement is equivalent to a 10 times increase in computing power.”
2. Big data can mean more spurious noise.
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more on infodemic in this IMS blog
https://blog.stcloudstate.edu/ims?s=infodemic
https://www.facebook.com/groups/onlinelearningcollective/permalink/761389994491701/
“What the invention of photography did to painting, this will do to teaching.”
AI can write a passing college paper in 20 minutes
Natural language processing is on the cusp of changing our relationship with machines forever.
https://www.zdnet.com/article/ai-can-write-a-passing-college-paper-in-20-minutes/
The specific AI — GPT-3, for Generative Pre-trained Transformer 3 — was released in June 2020 by OpenAI, a research business co-founded by Elon Musk. It was developed to create content with a human language structure better than any of its predecessors.
According to a 2019 paper by the Allen Institute of Artificial Intelligence, machines fundamentally lack commonsense reasoning — the ability to understand what they’re writing. That finding is based on a critical reevaluation of standard tests to determine commonsense reasoning in machines, such as the Winograd Schema Challenge.
Which makes the results of the EduRef experiment that much more striking. The writing prompts were given in a variety of subjects, including U.S. History, Research Methods (Covid-19 Vaccine Efficacy), Creative Writing, and Law. GPT-3 managed to score a “C” average across four subjects from professors, failing only one assignment.
Aside from potentially troubling implications for educators, what this points to is a dawning inflection point for natural language processing, heretofore a decidedly human characteristic.
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more on artificial intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
more on paper mills in this IMS blog
https://blog.stcloudstate.edu/ims?s=paper+mills
How to prevent AI from taking over the world
If we can’t teach machines to internalise human values and make decisions based on them, we must accept – and ensure – that AI is of limited use to us.
https://www.newstatesman.com/science-tech/2021/02/how-prevent-ai-taking-over-world
The so-called “Value Alignment Problem” – how to get AI to respect and conform to human values – is arguably the most important, if vexing, problem faced by AI developers today.
Stuart Russell, a leading AI scientist at Berkeley, offers an intriguing solution. Let’s design AI so that its goals are unclear. We then allow it to fill in the gaps by observing human behaviour. By learning its values from humans, the AI’s goals will be our goals.
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
DeepMind’s AI agent MuZero could turbocharge YouTube from r/technews
https://www.bbc.com/news/technology-55403473
MuZero follows in the footsteps of:
Most recently, DeepMind – which is owned by the same parent as Google’s – made a breakthrough in protein folding by adapting these techniques, which could pave the way to new drugs to fight disease.
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more on youtube in this IMS blog
https://blog.stcloudstate.edu/ims?s=youtube
more on AI in this iMS Blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence+
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more on machine learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=machine+learning