WHY IT MATTERS: Digital Transformation
214.3K views | +6 today
Follow
WHY IT MATTERS: Digital Transformation
Get weekly or monthly digest of all posts in your inbox: https://fmcs.digital/wim-subscribe
Curated by Farid Mheir
Your new post is loading...

Popular Tags for this blog

Current selected tag: 'Machine Intelligence'. Clear
Scooped by Farid Mheir
Scoop.it!

OpenAI prohibits its users from knowingly generating content from a number of categories - this is great, but at the same time scary when you think others may not have the same level of restraint #...

OpenAI prohibits its users from knowingly generating content from a number of categories - this is great, but at the same time scary when you think others may not have the same level of restraint #... | WHY IT MATTERS: Digital Transformation | Scoop.it

OpenAI is committed to the safe deployment of AI. Since the launch of our API, we’ve made deploying applications faster and more streamlined while adding new safety features. Our progress with safeguards makes it possible to remove the waitlist for GPT-3. Starting today, developers in supported countries can sign

Farid Mheir's insight:

WHY IT MATTERS: this is the list of prohibited content categories that openAI prohibits its users from generating machine learning from. This is great and I salute it. At the same time, it makes me shiver to think that other less scrupulous groups will voluntarily target those to create nefarious AI models. The future is bleak...

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Put this on your long-term #AI radar: put #Memristors in Neural Networks because they act like neurons, are low-power and non volatile via @IEEESpectrum

Put this on your long-term #AI radar: put #Memristors in Neural Networks because they act like neurons, are low-power and non volatile via @IEEESpectrum | WHY IT MATTERS: Digital Transformation | Scoop.it

Newfound “edge AI” applications for device that integrates memory and computing, has randomness built in, sips battery power

Farid Mheir's insight:

WHY IT MATTERS: a bit geeky but this article explains quite well how memristors can become the basis for improve AI systems in the future.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

The #retail industry should benefit most from #AI in #marketing and #supplyChain but are retailers leveraging it? via @McKinsey

The #retail industry should benefit most from #AI in #marketing and #supplyChain but are retailers leveraging it? via @McKinsey | WHY IT MATTERS: Digital Transformation | Scoop.it

An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.

Farid Mheir's insight:

WHY IT MATTERS: I was surprise to see that the retail industry has the highest potential to leverage AI. This report provides the insights and the analysis.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Two #Montreal firms in Constellation ShortList Artificial Intelligence and Machine Learning Best-of-Breed Platforms #AI #ML

Two #Montreal firms in Constellation ShortList Artificial Intelligence and Machine Learning Best-of-Breed Platforms #AI #ML | WHY IT MATTERS: Digital Transformation | Scoop.it

This Constellation ShortList™ presents Artificial Intelligence and Machine Learning Best-of-Breed Platforms relevant to early adopters pursuing digital transformation. Offerings included in this document meet the threshold criteria for this category as determined by Constellation Research.

Farid Mheir's insight:

WHY IT MATTERS: because 2 / 14 are Montreal-based!

Scooped by Farid Mheir
Scoop.it!

GPT-3 is an acronym you should become familiar with as it marks a new level in automatic text generation - OpenAI’s new language generator GPT-3 is shockingly good and completely mindless via @MIT #AI

GPT-3 is an acronym you should become familiar with as it marks a new level in automatic text generation - OpenAI’s new language generator GPT-3 is shockingly good and completely mindless via @MIT #AI | WHY IT MATTERS: Digital Transformation | Scoop.it

GPT-3 is the most powerful language model ever. Its predecessor, GPT-2, released last year, was already able to spit out convincing streams of text in a range of different styles when prompted with an opening sentence. But GPT-3 is a big leap forward. The model has 175 billion parameters (the values that a neural network tries to optimize during training), compared with GPT-2’s already vast 1.5 billion. And with language models, size really does matter.

Farid Mheir's insight:

WHY IT MATTERS: text generation is a major improvement that is just around the corner. More and more we will see emails, blog posts, articles and even books be completely written using AI.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Anomaly Detection & Stock Optimization in #Retail will be done using #AI 

Anomaly Detection & Stock Optimization in #Retail will be done using #AI  | WHY IT MATTERS: Digital Transformation | Scoop.it

There is great potential business value in a variety of retail use cases, many of which work in tandem to achieve a seamless, multi-channel multi-device customer experience, including:

  • Personalized suggestions and recommendations
  • Trend prediction
  • Customer churn prevention
  • Targeted discounts and advertising
  • Stock optimization
  • Consumer session tracking
  • and more
Farid Mheir's insight:

WHY IT MATTERS: this guide explains how to use AI techniques in retail to detect issues with stocks.

SEOshuvo's comment, August 14, 2020 4:51 AM
리니지프리서버 추천 및 홍보 커뮤니티 프리다모임 리니지프리서버 https://gclubfree.com/ 리니지 프리서버 리마스터 루피서버. 저희 서버는 본섭과 2클라 연동도 가능한 서버 입니다. 이제 오늘 밤 6시 드디어 여러분들을 뵙게 되었네요 리니지프리서버 https://gclubfree.com/ 프리다모임을 찾는 이유 궁금하셨죠. 오늘 이 부분의 궁금증을 풀어 보겠습니다. 누구나 취미생활이 하나씩은 있습니다. 요새는 여자, 남자 할 것 없이 남녀노소 즐기는 게 게임인데 밖에 나가서 하는 것보다 유저들끼리 모여서 즐길 수 있는 온라인 게임이 대세입니다, 리니지프리서버 https://gclubfree.com/ 정말 여러 가지 게임들이 있지만 그중에서 오랜 시간 사랑 받는 거로는 당연히 리니지를 빼먹을 수 없죠. 예전부터 마니아층이 많았던 게임인데 아무래도 탄탄한 스토리와 시스템도 한몫하겠지만, 무엇보다 용돈 벌이가 가능하다는 점에서 아직도 많은 유저들이 있습니다. 리니지프리서버 https://gclubfree.com/ 취미로 즐기면서 소정의 금액을 벌 수 있다면 당연히 경쟁도 치열하고 더 몰입해서 즐기실 텐데요. 리니지가 그렇습니다
Scooped by Farid Mheir
Scoop.it!

How to Make Your Company Machine Learning Ready provides a simple 4-step approach that focusses on processes instead of technology via @HBR #AI #ML #Data #ProcessMapping

How to Make Your Company Machine Learning Ready provides a simple 4-step approach that focusses on processes instead of technology via @HBR #AI #ML #Data #ProcessMapping | WHY IT MATTERS: Digital Transformation | Scoop.it

It’s where forward-thinking managers should be focusing.

  1. First, catalogue your business processes. 
  2. Second, focus on simple problems. 
  3. Third, don’t use machine learning where standard business logic will suffice.
  4. Fourth, if a process is complicated, use machine learning to create decision support systems.
Farid Mheir's insight:

WNHY IT MATTERS: everyone's wondering how to use AI within their organization. This paper suggests a 4-step approach to make this a reality, focussing on processes rather than technology.

thomas william's curator insight, March 17, 2:38 AM
buy-botox-online buy-adderall-online buy-adipex-online buy-ambien-online buy-amoxicillin-capsules-online buy-anavar-online buy-arimidex-online buy-cialis-online buy-co-codamol-online buy-codeine-online buy-codydramol-online buy-concerta-online buy-demerol-online buy-dexedrine-online buy-dianabol-online buy-diazepam-online buy-dihydrocodeine-online buy-dilaudidhydromorphoneonline buy-duromine-online buy-ephedrine-online buy-fentanyl-online buy-humatrope-online buy-hydrocodone-online buy-kamagra-jelly-online buy-ketamine-online buy-lorazepam-online buy-morphine-injection-online buy-morphine-online buy-opana-oxymorphone-online buy-oramorph-oral-sollution buy-oxicodone-online buy-percocet-online buy-pregabalin-online buy-promethazine-cough-syrup buy-restoriltemazepam-online buy-ritalin-online buy-rivotril-clonazepam-online buy-somatropin-online buy-temazepct20-online buy-tramadol-online buy-vigrx-plus-online clenbuterol-buy-online
Scooped by Farid Mheir
Scoop.it!

Better Together: Humanity + Machine Learning is a video from @a16z that reviews examples of innovative solutions and #startups where #AI #machineLearning and other advanced technologies enhance hum...

Better Together: Humanity + Machine Learning is a video from @a16z that reviews examples of innovative solutions and #startups where #AI #machineLearning and other advanced technologies enhance hum... | WHY IT MATTERS: Digital Transformation | Scoop.it

Artificial intelligence has not only become an international arms race, competition has now heated up as companies look to adopt machine learning/deep learning at an unprecedented pace. But the conversation about AI has largely focused on pitting humanity against AI, instead of what happens when we bring together humans *with* AI. In this talk by a16z operating partner Frank Chen, given at the annual a16z Summit, Chen goes beyond the hype to look forward at how AI and automation will augment, enhance, create, and yes, replace humans…. but also highlighting what it is that makes us human to begin with.

Farid Mheir's insight:

WHY IT MATTERS: there are already a number of usable applications for AI in use today in organizations worldwide, large and small. This is one good list from a16z in an easy to listen video with great examples of innovative startups in the field.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

27 Incredible Examples Of AI And Machine Learning In Practice via @Forbes

27 Incredible Examples Of AI And Machine Learning In Practice via @Forbes | WHY IT MATTERS: Digital Transformation | Scoop.it

Every day there seems to be a new way that artificial intelligence (AI) and machine learning is used behind the scenes to enhance our daily lives and improve business for many of today’s leading companies. Here are 27 amazing, and practical examples of AI and machine learning.

Farid Mheir's insight:

WHY IT MATTERS: there are already a number of usable applications for AI in use today in organizations worldwide, large and small. This is one good list from Forbes.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Google’s #AI builds its own AI child and it’s better than anything humans have made - for recognizing images

Google’s #AI builds its own AI child and it’s better than anything humans have made - for recognizing images | WHY IT MATTERS: Digital Transformation | Scoop.it

The child AI is really only capable of a specific task – image recognition. Using its AutoML AI, Google’s AI-building AI created its child AI using a technique called reinforcement learning. This works just like machine learning, except it’s entirely automated where AutoML acts as the neural network for its task-driven AI child.

Farid Mheir's insight:

WHY IT MATTERS: AI recent progress was made possible mostly by supervised learning: humans providing AI algorithms with the right kind of insight to understand the world. Reinforcement learning provides an enhanced level of improvement as it lets machine teach machine. This is one example. Expect more in the coming years and brace for exponential growth of this technology.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

JPMorgan's massive guide to machine learning jobs in finance: summary of a 280 page report.

JPMorgan's massive guide to machine learning jobs in finance: summary of a 280 page report. | WHY IT MATTERS: Digital Transformation | Scoop.it

In May, J.P. Morgan’s quantitative investing and derivatives strategy team, issued the most comprehensive report ever on big data and machine learning in financial services.
Titled, ‘Big Data and AI Strategies’ and subheaded, ‘Machine Learning and Alternative Data Approach to Investing’, the report says that machine learning will become crucial to the future functioning of markets. Analysts, portfolio managers, traders and chief investment officers all need to become familiar with machine learning techniques. If they don’t they’ll be left behind: traditional data sources like quarterly earnings and GDP figures will become increasingly irrelevant as managers using newer datasets and methods will be able to predict them in advance and to trade ahead of their release.

Farid Mheir's insight:

WHY IT MATTERS: AI will disrupt industries that had been left mostly alone by the digital Internet revolution: Finance, Accounting, Law, Medecine, etc. They are all industries that rely on visual or text analysis but require very simple processing to perform the most routine back office tasks. This report presents the impact in very detailed fashion and this summary is useful because it applies to many industries, if you adjust the terminology. It highlights one key element: learn to program and to analyze data because these are the jobs of the (near) future. For those crazy enough to read the 280 pages, here is the link: http://valuesimplex.com/articles/JPM.pdf 

Graphics Design's curator insight, January 30, 2018 7:51 AM

In the event that somebody says "please" and you hear "cheddar" recall that (record it). On the off chance that somebody says "entryway" and you hear "more" focus on that, don't disregard it or shut it out or accuse the speaker, simply perceive that it happened. Try not to contend with anyone or focus on their "you require a portable Hearing Aids". Watch your days concerning sound, what is the number on the TV volume control when you watch it without anyone else's input - what is the number when another person in the house is controlling

Scooped by Farid Mheir
Scoop.it!

3 video #mustSee if you are into understanding #AI but not a scientist: How neural networks work, how convolutional networks work, Deep learning demystified

3 video #mustSee if you are into understanding #AI but not a scientist: How neural networks work, how convolutional networks work, Deep learning demystified | WHY IT MATTERS: Digital Transformation | Scoop.it

Far from being incomprehensible, the principles behind neural networks are surprisingly simple. Here's a gentle walk through how to use deep learning to categorize images from a very simple camera.

Farid Mheir's insight:

WHY IT MATTERS: you don't need to be a mechanic to drive a car but it helps if you understand the principles of a car - engine, drive shaft, carburator, etc. - to help you when you buy or get serviced. Well I believe the same should hold true for technology in your computer or your cell phone. So no need to listen to these videos to use Apple Siri or Google assistant, but it will certainly make some of it feel less "magical".

No comment yet.
Scooped by Farid Mheir
Scoop.it!

A great explanation of transfer learning and why it has become Machine Learning's Next Frontier #AI #MachineLearning

A great explanation of transfer learning and why it has become Machine Learning's Next Frontier #AI #MachineLearning | WHY IT MATTERS: Digital Transformation | Scoop.it

Andrew Ng, chief scientist at Baidu and professor at Stanford, said during his widely popular NIPS 2016 tutorial that transfer learning will be -- after supervised learning -- the next driver of ML commercial success.

Farid Mheir's insight:

WHY IT MATTERS: machine learning biggest advantage over human learning is that machines can share what they learn. For example, robots and self-driving cars can train using a simulator before they go in the real world. Moreover they can transfer what they learn in one field - say cat-dog image analysis - and apply it to another domain - say reading medical X-ray. This vastly improves the speed with which machines learn. This is a definitive advantage for machines that can ride digital technology's exponential growth. Ultimately, machines will become way more intelligent than humans because of their capacity to leverage the sum of all previous knowledge from birth, unlike us humans. We are doomed!

No comment yet.
Scooped by Farid Mheir
Scoop.it!

.@Stanford release the #AI index for 2017 full of data and analysis on the state of AI today #mustRead

.@Stanford release the #AI index for 2017 full of data and analysis on the state of AI today #mustRead | WHY IT MATTERS: Digital Transformation | Scoop.it

The AI Index is an open, not-for-profit project to track activity and progress in AI. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists and others to rapidly develop intuitions about the complex field of AI.
AI is the new electricity, and is transforming multiple industries. The AI Index will help current generations track and navigate this societal transformations. It will also help future generations look back and understand the AI's rise.

Farid Mheir's insight:

WHY IT MATTERS: AI evolves rapidly and this report presents the state of the world (mostly the US at this time) as it relates to AI. Must read.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

#weekendReading this 8-part blog post called "Machine Learning is Fun!" is a very good overview of what #AI technologies are all about

#weekendReading this 8-part blog post called "Machine Learning is Fun!" is a very good overview of what #AI technologies are all about | WHY IT MATTERS: Digital Transformation | Scoop.it

This guide is for anyone who is curious about machine learning but has no idea where to start. I imagine there are a lot of people who tried reading the wikipedia article, got frustrated and gave up wishing someone would just give them a high-level explanation. That’s what this is. The goal is be accessible to anyone — which means that there’s a lot of generalizations. But who cares? If this gets anyone more interested in ML, then mission accomplished.

Farid Mheir's insight:

WHY IT MATTERS: this series of article present the fundamental technologies behind AI in a very simple and easy to understand way.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Modern Face Recognition with #DeepLearning and simple program anyone can try

Modern Face Recognition with #DeepLearning and simple program anyone can try | WHY IT MATTERS: Digital Transformation | Scoop.it

This technology is called face recognition. Facebook’s algorithms are able to recognize your friends’ faces after they have been tagged only a few times. It’s pretty amazing technology — Facebook can recognize faces with 98% accuracy which is pretty much as good as humans can do!

Farid Mheir's insight:

WHY IT MATTERS: facial recognition libraries have made it very simple to include the feature in any system. Read the article to understand how facial recognition works then jump to this other post to try out the actual code to do it. https://blog.paperspace.com/facial-recognition-using-deep-learning/ 

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Puppy or Muffin? How #deepLearning enabled computer vision & made The Business of Artificial Intelligence possible via @hbr

Puppy or Muffin? How #deepLearning enabled computer vision & made The Business of Artificial Intelligence possible via @hbr | WHY IT MATTERS: Digital Transformation | Scoop.it

What AI can — and cannot — do for your organization.

Farid Mheir's insight:

WHY IT MATTERS: advances in computer vision due to deep learning algorithms has opened a world of possibilities for companies. Read this article and accompanying HBR posts. Great series.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

A 'Google Maps' for the Mouse Brain Details Neurons Like Never Before #video #singularity

A 'Google Maps' for the Mouse Brain Details Neurons Like Never Before #video #singularity | WHY IT MATTERS: Digital Transformation | Scoop.it

MouseLight is the most detailed map of the mouse brain yet. Scientists hope this brain map, and others like it, can help unravel the brain's mysteries.

Farid Mheir's insight:

WHY IT MATTERS: understanding of the human brain is essential to improve artificial intelligence. Advances in brain scanning technologies have allowed researchers to map 700 neurons in a ouse brain and the results are presented here. Look at the 2min video to understand what has been achieved. 

No comment yet.
Scooped by Farid Mheir
Scoop.it!

New Theory helps explain how Deep Learning works @QuantaMagazine @Wired

New Theory helps explain how Deep Learning works @QuantaMagazine @Wired | WHY IT MATTERS: Digital Transformation | Scoop.it

A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.

Farid Mheir's insight:

WHY IT MATTERS

This article explains how deep learning neural networks learn to generalize and find patterns in their inputs by initially finding patterns then compressing to forget irrelevant elements and generalize what they've "learned". Well illustrated and relatively simple to understand.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Now anyone can explore machine learning, no coding required

Now anyone can explore machine learning, no coding required | WHY IT MATTERS: Digital Transformation | Scoop.it
Teachable Machine, an experiment that makes it easier for anyone to explore machine learning. Teach a machine using your camera – live in the browser, no coding required.
Farid Mheir's insight:

WHY THIS MATTERS

You have to try this to better understand how AI works. Moreover, the fact that the network runs on your browser is, by itself, quite the testament to the power of deep learning and machine learning to transform every application and device we own. Now go play!

No comment yet.
Scooped by Farid Mheir
Scoop.it!

McKinsey's State Of Machine Learning And AI in 2017

McKinsey's State Of Machine Learning And AI in 2017 | WHY IT MATTERS: Digital Transformation | Scoop.it
Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions. AI investment has turned into a race for patents and intellectual property (IP) among the world’s leading tech companies.
Farid Mheir's insight:

WHY IT MATTERS

This article from McKinsey provides an overview of the investments, improvements and priorities in AI and machine learning as of mid 2017.

No comment yet.
Scooped by Farid Mheir
Scoop.it!

The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid?

The Quartz guide to artificial intelligence: What is it, why is it important, and should we be afraid? | WHY IT MATTERS: Digital Transformation | Scoop.it

What is artificial intelligence? Why is it important? Why is everyone talking about it all of a sudden? If you skim online headlines, you’ll likely read about how AI is powering Amazon and Google’s virtual assistants, or how it’s taking all the jobs (debatable), but not a good explanation of what it is (or whether the robots are going to take over). We’re here to help with this living document, a plain-English guide to AI that will be updated and refined as the field evolves and important concepts emerge.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Always very well written and informative articles, this one provides a good summary in simple terms.

Fouzia Raza's curator insight, September 18, 2017 9:24 PM
From bioengineering to customer support, artificial Intelligence offers numerous advantages that tech empires such as Google, Microsoft, and Amazon have pounced upon as a window of opportunity. It is undoubtable that the field will experience tremendous growth in the coming decades, but not without some downfalls. This article gives a brief overview of artificial intelligence including its explosion, importance, and drawbacks. 

R-The source of the article, The Quartz, is a fairly new business news resource with initial launchings occurring in 2012. The news startup longs to deviate from other media giants by focusing on “global business leaders -- digitally savvy, post-national executives who seek information that will help them better navigate the new global economy." Although in its infancy, The Quartz has a slight to moderate liberal bias, and hence might use emotive stylistic techniques that sway audiences to view issues through a certain perspective.

A-In the article itself, the author fails to give an in-depth analysis of the drawbacks of AI and the looming fear of its potential to “circumvent any human attempts to shut them off.” The article thus fails to give a well-balanced account of the potential effects of increased use of AI.

V- The article does succeed in providing reliable, factual information that is supported by research studies, experts such as Musk, and relevant historical events. The author also assesses the importance of AI by presenting its value to companies and hence the global economy. 

E- The author himself possesses a wealth of knowledge on the subject matter; this holds true when looking at the startup media as a whole. Its founding members include experts from The Wall Street Journal, Bloomberg, The Economist, and The New York Times. Given its deep focus on emerging technologies and the latest innovations, it is no doubt that The Quartz possesses a high level of expertise on the subject matter. 
N- It is evident that the author supports the growth of AI in the future by emphasizing the positives. The article does include several drawbacks, such as the possible biases that AI is often demonstrated to have. This is immediately followed up by possible solutions, which demonstrates the ability of improving the technology for further use.
Dave berkeley's curator insight, September 19, 2017 8:24 AM
Share your insight
Scooped by Farid Mheir
Scoop.it!

Microsoft's voice-recognition tech is now better than teams of humans at transcribing conversations

Microsoft's voice-recognition tech is now better than teams of humans at transcribing conversations | WHY IT MATTERS: Digital Transformation | Scoop.it

In October 2016, in a big milestone for artificial intelligence, Microsoft unveiled a system that can transcribe the contents of a phone call as well or better than human professionals.

But while Microsoft's system had fewer transcription errors than the average human transcriptionist, it still couldn't best a team of trained humans. So, the world of academia fired back with a new challenge: Lower the error rate to below what human teams can do. 

Now Microsoft has done just that.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Speech recognition is most important for business tasks and new computer interfaces that are small and pervasive (cannot fit a keyboard and mouse on a watch). This new research shows that it is possible to get 5.1% error rates on transcribing phone conversations. This is great but not yet error-free : expect more research to improve this extremely fast though..

This ushers in an era where your cell phone will record everything you say in a meeting - or elsewhere - and transcribe it for you to search the text for reference or recall the actual audio to show proof. Imagine how useful that can be when listening to a conference or class and take notes for you!

Direct links to the Microsoft blog post and report are here:

blog: https://www.microsoft.com/en-us/research/blog/microsoft-researchers-achieve-new-conversational-speech-recognition-milestone/ 

report: https://www.microsoft.com/en-us/research/wp-content/uploads/2017/08/ms_swbd17-2.pdf 

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Can We Copy the Brain? a #series of technical papers on the subject via @ieeespectrum

Can We Copy the Brain? a #series of technical papers on the subject via @ieeespectrum | WHY IT MATTERS: Digital Transformation | Scoop.it

Intensive efforts to re-create human cognition will transform the way we work, learn, and play

Farid Mheir's insight:

WHY THIS IS IMPORTANT

We often hear of AI and machine learning using neural networks and deep learning algorithms. In parallel, there are many other efforts being deployed to understand the brain to try and mimic it. This is a series of articles in IEEE Spectrum that provide just the right level of technical insights to help you understand where we stand on the matter. Many hours of interesting reading ahead!

No comment yet.
Scooped by Farid Mheir
Scoop.it!

Facebook's AI accidentally created its own language & learned to negotiate in #chatbots

Facebook's AI accidentally created its own language & learned to negotiate in #chatbots | WHY IT MATTERS: Digital Transformation | Scoop.it

Researchers from the Facebook Artificial Intelligence Research lab (FAIR) recently made an unexpected discovery while trying to improve chatbots. The bots — known as “dialog agents” — were creating their own language — well, kinda. Using machine learning algorithms, dialog agents were left to converse freely in an attempt to strengthen their conversational skills.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Humans may not be so smart after all if it takes a few simple neural nets to start to create new languages and communicate. The article is just a teaser, if you want to know more you have to go the the Facebook research group blog to read the full thing.

https://research.fb.com/category/facebook-ai-research-fair/

https://code.facebook.com/posts/1686672014972296/deal-or-no-deal-training-ai-bots-to-negotiate/

https://code.facebook.com/posts/266433647155520/parlai-a-new-software-platform-for-dialog-research/

 

Curated by Farid Mheir
Get every post weekly in your inbox by registering here: http://fmcs.digital/newsletter-signup/