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How Far Are We From Achieving Artificial General Intelligence?

How Far Are We From Achieving Artificial General Intelligence? | Communication design | Scoop.it

Although it might be theoretically possible to replicate the functioning of a human brain, it is not practicable as of now. Thus, capability-wise, we are leaps and bounds away from achieving artificial general intelligence. However, time-wise, the rapid rate at which AI is developing new capabilities means that we might be get close to the inflection point when the AI research community surprises us with the development of artificial general intelligence. And experts have predicted the development of artificial intelligence to be achieved as early as by 2030. A survey of AI experts recently predicted the expected emergence of AGI or the singularity by the year 2060.

 

Thus, although in terms of capability, we are far from achieving artificial general intelligence, the exponential advancement of AI research may possibly culminate into the invention of artificial general intelligence within our lifetime or by the end of this century. Whether the development of AGI will be beneficial for humanity or not is still up for debate and speculation. So is the exact estimate on the time it will take for the emergence of the first real-world AGI application. But one thing is for sure -- the development of AGI will trigger a series of events and irreversible changes (good or bad) that will reshape the world and life as we know it, forever.


Via Charles Gerth, Dr. Stefan Gruenwald
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Joe Boutte's curator insight, 1 July, 17:49

When we get to the inflection point of AGI replicating a human brain, will we be smart enough to know?  Will a computer tell us? Will it be too late for humankind?

aktanakin4234@gmail.com's comment, 8 July, 01:14
http://www.kitcarbooks.com/her-zaman-olmasa-cevizlibag-escort/
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Machine learning overtakes humans when it comes to predicting death or heart attack

Machine learning overtakes humans when it comes to predicting death or heart attack | Communication design | Scoop.it

Machine learning advances go above and beyond what has presently been achieved in medicine, the findings showed. Machine learning is overtaking humans in predicting death and heart attack, suggesting a continued maturation of the technology and a potential for increased efficiency among caregivers in the healthcare system, finds a study presented at the International Conference on Nuclear Cardiology and Cardiac.

 


Via Dr. Stefan Gruenwald
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Teacher's Aide or Surveillance Nightmare? Alexa Hits the Classroom - Digital Education - Education Week 

Teacher's Aide or Surveillance Nightmare? Alexa Hits the Classroom - Digital Education - Education Week  | Communication design | Scoop.it
For better or worse, a new technology is making its way from consumers' homes into America's classrooms: voice-controlled "smart speaker" systems from companies such as Amazon and Google.

The internet-enabled devices listen to what users say, send audio recordings to the cloud, translate that information into commands, and respond accordingly—providing users with a personal digital voice assistant such as Amazon's Alexa, which teachers are now using to help with everything from setting a classroom timer to leading a group of 3rd graders through a spelling test.

Groups such as the American Civil Liberties Union are raising alarms about privacy.

"Should students be required to submit themselves to always-on voice-tracking and other third-party surveillance in order to get an education?" asked ACLU staff technologist Daniel Kahn Gillmor in an interview. 

Still, the early K-12 adopters of smart speakers and digital voice assistants are generally enthusiastic.

Via John Evans, Dennis Swender, Dennis T OConnor
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Dennis T OConnor's curator insight, 12 July 2018, 18:16

Amazon AI in your classroom?  How's that make you feel?

Pamela Alaniz's curator insight, 13 May, 20:59
As teachers  we should know the implications over the uses of various technologies in our classrooms. This article was very informative on the uses of Alexa in the classroom to help.manage your classroom in an orderly manner or seen as a digital teacher  assistant. You could set reminders for your class on how to maintain time throughout the day, and as language supports for students with language barriers. However, there are privacy implications that are tied with the use of Alexa such as how it picks up on your conversations and can store them  for future reference. It also uses it to as a means of providing advertisements on topics you find interesting. I understand it could be beneficial to help manage classrooms  but could it outweigh the privacy issues in the future  is a real mind boggling  question set forth with the use of Alexa in the classroom.
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How AI Has Already Changed Your Life

How AI Has Already Changed Your Life | Communication design | Scoop.it

For some people, artificial intelligence still makes them feel a little…uneasy. It’s often depicted as sinister-looking robots who will take over our lives and our jobs, or even replace humanity. 

The reality is, we are already in an age in which AI is infused into our everyday lives in ways that augment rather than replace people. Digital assistants such as Cortana can find you the closest restaurant, dictate a text to your friend, manage your email inbox and even help you create more beautiful PowerPoint presentations.  Whether you realise it or not, AI is an integral part of all these interactions. And while it’s not something you can often see or touch, I bet you’re already experiencing the benefits of AI every day.


Via Gust MEES
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Gust MEES's curator insight, 30 March 2018, 07:40

For some people, artificial intelligence still makes them feel a little…uneasy. It’s often depicted as sinister-looking robots who will take over our lives and our jobs, or even replace humanity. 

The reality is, we are already in an age in which AI is infused into our everyday lives in ways that augment rather than replace people. Digital assistants such as Cortana can find you the closest restaurant, dictate a text to your friend, manage your email inbox and even help you create more beautiful PowerPoint presentations.  Whether you realise it or not, AI is an integral part of all these interactions. And while it’s not something you can often see or touch, I bet you’re already experiencing the benefits of AI every day.

So, how does AI technology actually work? AI is a machine’s ability to recognise images and words, learn and reason in ways that are similar to people. Data is the fuel for AI, and our world is awash with data as our daily interactions are increasingly digital. AI uses sophisticated algorithms to sort through piles of data, spot patterns and make predictions – tasks that would be repetitive and time-consuming, if not practically impossible, for people to do manually. AI can do this work on our behalf and give us back more of life’s most precious commodity - time.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

Miklos Szilagyi's curator insight, 31 March 2018, 10:43
Félünk (félünk?) a mesterséges intellingenciától, pedig különböző szintű megjelenési formáit full használjuk... az átalakulás, a változás folyamatos, az is lesz, hol lineáris, hol helyenként ugrásszerű, de hozzászokni már elkezdtünk... nem a távoli jövő az, amikor majd egyszerre csak ránk ugrik, mint egy tigris...:-)))
Miklos Szilagyi's curator insight, 31 March 2018, 10:47
“...AI is a machine’s ability to recognise images and words, learn and reason in ways that are similar to people. Data is the fuel for AI, and our world is awash with data as our daily interactions are increasingly digital...” - The AI is already makes a part of our daily life... it gives time for us to become acclimatized to it...
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15 examples of artificial intelligence in marketing

15 examples of artificial intelligence in marketing | Communication design | Scoop.it
Artificial intelligence (see the Wikipedia definition), specifically machine learning, is an increasingly integral part of many industries, including marketing.

Via Eric_Determined / Eric Silverstein
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Eric_Determined / Eric Silverstein's curator insight, 19 April 2016, 20:06

Is there anything AI can't do?

 

Ben @Econsultancy shares 15 key examples of AI in Marketing:

 

1. Recommendations/content curation

2. Search engines3. Preventing fraud and data breaches4. Social semantics5. Website design6. Product pricing7. Predictive customer service8. Ad targeting9. Speech recognition10. Language recognition11. Customer Segmentation12. Sales forecasting13. Image recognition 14. Content generation15. Bots, PAs and messengers 
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MIT’s new interactive machine learning prediction tool could give everyone AI superpowers

MIT’s new interactive machine learning prediction tool could give everyone AI superpowers | Communication design | Scoop.it

Soon, you might not need anything more specialized than a readily accessible touchscreen device and any existing data sets you have access to in order to build powerful prediction tools. A new experiment from MIT and Brown Universityresearchers have added a capability to their ‘Northstar’ interactive data system that can “instantly generate machine-learning models” to use with their exiting data sets in order to generate useful predictions.

 

One example the researchers provide is that doctors could make use of the system to make predictions about the likelihood their patients have of contracting specific diseases based on their medial history. Or, they suggest, a business owner could use their historical sales data to develop more accurate forecasts, quickly and without a ton of manual analytics work.

 

Researchers are calling this feature the Northstar system’s “virtual data scientist,” (or VDS) and it sounds like it could actually replace the human equivalent, especially in settings where one would never actually be readily available or resourced anyway. Your average doctor’s office doesn’t have a dedicated data scientist headcount, for instance, and nor do most small- to medium-sized businesses for that matter. Independently owned and operated coffee shops and retailers definitely wouldn’t otherwise have access to this kind of insight.


Via Charles Gerth, Dr. Stefan Gruenwald
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Artificial Intelligence: The Robots Are Now Hiring

Artificial Intelligence: The Robots Are Now Hiring | Communication design | Scoop.it
The practice is part of a general trend of some hiring companies to move away from assessing candidates based on their resumes and skills, towards making hiring decisions based on people’s personalities.

Via Dennis T OConnor
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Dennis T OConnor's curator insight, 26 September 2018, 01:33

What could an AI glean about your personality by analysing your social media presence?  How would you feel about an employer scanning your video interview to feed an artificial intelligence algorithm as it compares your micro-gestures to those of proven producers?   It's a brave new world of work out there.  

Rescooped by Antonios Bouris from 21st Century Learning and Teaching
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Digital Transformation, Government, and Chatbots

Digital Transformation, Government, and Chatbots | Communication design | Scoop.it

Contrary to what its name might suggest, digital transformation is primarily a problem of culture and leadership, a “human” phenomenon. It implies working in a transdisciplinary way, collaborating beyond the usual borders and above all – like in any organizational transformation process – creating trust: trust between engineers and humanists, between government departments, between citizens and government, etc. And since there are no miracles, trust is built over time and experience and it can only come from listening, honesty, competence, and transparency.

 


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Gust MEES's curator insight, 26 April 2018, 19:56

Contrary to what its name might suggest, digital transformation is primarily a problem of culture and leadership, a “human” phenomenon. It implies working in a transdisciplinary way, collaborating beyond the usual borders and above all – like in any organizational transformation process – creating trust: trust between engineers and humanists, between government departments, between citizens and government, etc. And since there are no miracles, trust is built over time and experience and it can only come from listening, honesty, competence, and transparency.

 

Technically, the data produced and collected must be designed from the outset to lend themselves optimally to automatic analysis and the systems must be built so that they can evolve easily. As for the famous ethical dimension of algorithms, we will not forget that the data feeding automatic learning must be examined from a critical point of view by competent humans and not blindly believed. In my understanding, a good part of the “ethical” problems related to AI comes from two essential points being forgotten:


– The tools must be designed from the user’s point of view (design thinking).
– The quality of training data determines the quality of program performance (garbage in garbage out).

 

Many topics were treated in this event, with numerous concrete examples of the use of new technologies: security, the blockchain, cloud, micro-services, Internet of things, etc. The theme that caught my attention the most was chatbots animated by natural language processing and deep learning. In the coming years, more and more services (governmental or commercial) will use chatbots.

 

The public already knows Siri by Apple or Alexa by Amazon. Rather than thinking of these programs as autonomous “artificial intelligence”, it would be more useful to conceive them as media for distributing expertise, user-friendly interfaces for exploring huge databases, knowledge management toolsand cognitive augmentation. Chatbots are able to understand questions in natural languages (not just recognize keywords), they can learn from their interactions, they are able to suggest relevant ideas according to context and provide a “pleasant” experience to their users.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Digital+transformation

 

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How Artificial Intelligence is Making Big Data Better Than Ever | #AI 

How Artificial Intelligence is Making Big Data Better Than Ever | #AI  | Communication design | Scoop.it
The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless.  As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.

The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...

 


Via Gust MEES
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Gust MEES's curator insight, 27 December 2017, 22:03
The concept of Big Data is a relatively new one. It denotes the availability of vast volumes and sources of data, which were not available before. By itself, Big Data is powerful, and when combined with Artificial Intelligence and machine learning, the opportunities presented by this combination are just endless.  As big data moves to the maturity phase, firms are now looking for ways to combine the scale of AI and the agility of Big Data processes to bring about an acceleration on the delivery of the much-needed business value.

The Power of Combining AI and Big Data
Most businesses are data-driven. As a result, firms with the right type and quantity of data has the upper hand over rivals. Convergence between AI and big data is promising. Firms can now access large volumes of broken down and categorized data by their usefulness. Traditional computer processors cannot process big data. Big data can best be processed by a GPU database, which has the flexibility needed to handle a significant amount of data of different types.

 

Learn more / En savoir plus / Mehr erfahren:

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=AI

 

https://www.scoop.it/t/21st-century-innovative-technologies-and-developments/?&tag=AI

 

https://www.scoop.it/t/21st-century-learning-and-teaching/?&tag=Big+Data...

 

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Engineers Are Teaching Smartphones to Think Like an Autonomous Car

Engineers Are Teaching Smartphones to Think Like an Autonomous Car | Communication design | Scoop.it
A team of researchers from Cambridge University is borrowing some of the techniques used in autonomous vehicles to teach your phone to navigate, even when it doesn’t have access to positioning information like a GPS signal.

Via Ensil
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Ensil's curator insight, 21 December 2015, 21:05

It can deal with light, shadow and night-time environments, and currently labels more than 90% of pixels correctly.