#artificial-intelligence

Robotics and AI, Your Place in This World
▻https://hackernoon.com/robotics-and-ai-your-place-in-this-world-5bcb5aa1151?source=rss----3a814

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Looks Like An Alien Robot.You should see the Avengers 2019 spoiler, Tony Stark’s suit is human now! You got to believe and its replacing captain America just as how artificial general intelligence is going to replace humans.Let’s be honest with ourselves, we clamoured for a means to do things better and faster, admittedly, we are lazy and we needed something or someone to perform those hectic tasks for us―both in our workplace and our daily lives.However, the solution to this problem is right here and right now, and the average human seems to now identify it as a threat. Efficient means of production, accurate data analysis, automation and many more is what we perceive a threat ― fascinating. We are being delusional and carried away by the buzzword of how #robots and AI will be the end of (...)

#technology #agi #artificial-intelligence

McCulloch Pitts Neuron — Deep Learning Building Blocks
▻https://hackernoon.com/mcculloch-pitts-neuron-deep-learning-building-blocks-7928f4e0504d?source

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McCulloch Pitts Neuron — Deep Learning Building BlockThe fundamental block of deep learning is artificial neuron i.e.. it takes a weighted aggregate of inputs, applies a function and gives an output. The very first step towards the artificial neuron was taken by Warren McCulloch and Walter Pitts in 1943 inspired by neurobiology, created a model known as McCulloch-Pitts Neuron.Disclaimer: The content and the structure of this article is based on the deep learning lectures from One-Fourth Labs — Padhai.Motivation — Biological NeuronThe inspiration for the creation of an artificial neuron comes from the biological neuron.Fig — 1 Biological Neuron — Padhai Deep LearningIn a simplistic view, #neurons receive signals and produce a response. The general structure of a neuron is shown in the Fig-1. Dendrites (...)

#artificial-intelligence #mcculloch-pitts-neuron #deep-learning #machine-learning

Interview with #kaggle Grandmaster, Lead Data Scientist at Dbrain: Artur Kunzin
▻https://hackernoon.com/interview-with-kaggle-grandmaster-lead-data-scientist-at-dbrain-artur-ku

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Interview with Kaggle Grandmaster, Head of Computer Vision at X5 Retail Group: Artur KuzinPart 22 of The series where I interview my heroes.Today I’m honored to be interviewing a Kaggle Grandmaster from the ods.ai community.I’m excited to be talking to Competitions GrandMaster (Ranked #29, kaggle: @n01z3) and Kernels (Ranked #159), Discussions Expert: (Ranked #58),: Artur KuzinArtur has a background in Physics and Applied Math with a Masters Degree. Currently, he is working as the Head of Computer Vision at X5 Retail Group (Largest multi-format retailer in Russia), before X5 Group- he has worked as Lead Data Scientist at Dbrain (Dbrain.io), and as a Data Scientist at Avito (the second largest classifieds site in the world, part OLX group).About the Series:I have very recently started making (...)

#artificial-intelligence #data-science #deep-learning #machine-learning

Can #blockchain with Artificial Intelligence Fight Deep Fake?
▻https://hackernoon.com/can-blockchain-with-artificial-intelligence-fight-deep-fake-9b899b4d45e7

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Truth has been the subject of discussion in its own rights, objectively and independently of the ways we think about it or describe it, for many ages. Philosophical theories about truth may have many relative grounds but in mathematics there exist absolute truth.Can truth shapeshift? In an emotion based market, truth is subjective to the intellectual spectrum of people’s belief and opinion. The deepfake video of Barack Obama’s speech created by BuzzFeed using power face swapping neural networking technology is one such example.▻https://medium.com/media/d1eb9049368b3a8bf7a4dd9b5a92a8c2/hrefSo what is a deep fake?“Deepfake, a portmanteau of “deep learning” and “fake”,[1] is an artificial intelligence-based human image synthesis technique. It is used to combine and superimpose existing images and (...)

#machine-learning #artificial-intelligence #deep-learning #venture-capital

Internet Culture Roundup #8 : Limited Perception
▻https://hackernoon.com/internet-culture-roundup-8-limited-perception-e947b2480e1e?source=rss---

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As technology evolves in our digital landscape, it is becoming increasingly difficult to detect what’s fake from what’s real. Fake news, doctored pictures, and misleading videos are having real consequences on the world. For example, the website This Person Does Not Exist renders pictures of what seems to be actual people, but are in fact computer-generated images. Outside of the TPDNE portraits, the rest of this week’s list are actual people with relatable narratives. John Henry is a self-made entrepreneur who is interested in helping other business owners in New York City succeed while Amanda Cooksey is trying to make it big-time as a #singer in the Music City. Read more about their stories in this edition of the internet culture roundup.Faces generated from the This Person Does Not (...)

#artificial-intelligence #hustle #media #everipedia-partnership

The Future of #ai-Assisted Social Media #marketing
▻https://hackernoon.com/the-future-of-ai-assisted-social-media-marketing-7f8e91afbec1?source=rss

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Who would’ve thought — back in 1950, when Alan Turing wrote a paper on “Computer Machinery and Intelligence” — we’d today be navigating the complexity of this revolutionary invention, termed Artificial Intelligence? Did Turning think the computation of complex figures could get easier if the machine could think on its own, or did he actually believe two machines could talk to each other?Artificial Intelligence has come a long way since its actual inception in 1955. Believe it or not, AI is going to rule humanity.We humans have been inventing this technology, that will, in the near future, overwhelm us with our own dependency on it, in all spheres of life. This article will focus only, however, on how AI has also been introduced into the realm of social media.Can social media bank its future on (...)

#social-media-marketing #social-media #artificial-intelligence

How to make a simple Machine Learning #website from scratch
▻https://hackernoon.com/how-to-make-a-simple-machine-learning-website-from-scratch-1ae4756c8b04?

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Learn to make a simple machine learning website which adapts text colour ? according to changeable background contrast.Are you enthusiastic about machine learning? Are you trying to implement a simple machine learning webpage from scratch?Do you want to make something cool with HTML/CSS and #javascript?If yes, then you’re at the perfect place.Machine Learning, AIHere we will be making a simple webpage that changes the text colour according to the background color, using a simple machine learning library brain.js.Let’s kick off our excitement with the result itself.Here is the link to the webpage.Go to the above link and try changing the RGB values of the slider, you’d notice the auto changing text colour with respect to the background contrast.This is what we would be building here.What? You (...)

#artificial-intelligence #web-development #machine-learning

Three Pillars of AI That Every CEO Needs to Know Today
▻https://hackernoon.com/three-pillars-of-ai-that-every-ceo-needs-to-know-today-2fc06486c2e5?sour

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What do Babylon Health, WeWork and Netflix have in common? Three seemingly unrelated companies, working in three different industries. Healthcare, Real Estate and Entertainment. Not much to connect them, except they’re all using data to become extraordinarily profitable.They’re among the best examples of data-driven businesses, and they’re all reaping the rewards today. Forrester says that data-driven companies are growing 8x global GDP. This article sets the scene for you to become part of that group.In my mind, there are three areas that companies should focus on to become data-driven: #productivity, Prediction and Personalisation. Applicable across industries, these three pillars should be front of mind for any CEO that wants to be more profitable.Babylon Health know more about (...)

#artificial-intelligence #predictions #personalization #business

The State of #chatbots in 2019
▻https://hackernoon.com/the-state-of-chatbots-in-2019-d97f85f2294b?source=rss----3a8144eabfe3---

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Chatbots are conversational interfaces meant to assist individuals in interacting with larger organizations.If you’re looking for help while browsing a website, you might end up texting with a chatbot. They’re a bit more dynamic a problem-solver than a simple FAQ webpage. If you’re looking to speak with a customer service representative, a chatbot might try to help you out on its own, or it could help direct you to the proper department within an organization, where a human operator can provide assistance.As this technology becomes more and more integrated into daily commerce, it’s worth asking: what barriers does the technology face today, what improvements are being made, and what can we expect of human-robot discourse in the future?LimitationsIt won’t take you all too long, under a (...)

#nlp #state-of-chatbots #artificial-intelligence #machine-learning

Enterprise™ AF Solution for Text Classification (using BERT)
▻https://hackernoon.com/enterprise-af-solution-for-text-classification-using-bert-9fe2b7234c46?s

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What is BERT? How does one use BERT to solve problems? Google Colab, #tensorflow, #kubernetes on Google CloudOverviewThis for people who want to create a REST service using a model built with BERT, the best NLP base model available. I spent a lot of time figuring out how to put a solution together so I figured I would write up how to deploy a solution and share!Why should you read this?Today we have machine learning engineers, software engineers, and data scientists. The trend in deep learning is that models are getting so powerful that there is little need to know about the details of the specific algorithm and can be immediately applied to custom use cases. This trend will turn the job of machine learning engineers into a skill that software engineers have. There will still be data (...)

#machine-learning #artificial-intelligence #enterprise-af

How to Boost Employee Engagement with #ai: A Guide to HR Managers
▻https://hackernoon.com/how-to-boost-employee-engagement-with-ai-a-guide-to-hr-managers-3b6a797e

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When companies are recruiting, they are, in fact, selling themselves to potential employees. This means that attracting the best talent is a matter of presenting your offer most competitively and customizing your message so that it resonates with the target audience.However, HR departments in most organizations use the same decades-old recruitment methods. The problem with this approach is that people are becoming more and more used to personalized approach that they see in retail. In a world where Amazon knows exactly what kind of socks you would like, a potential employer that has no idea what package of benefits they should offer you, falls short.The first thing they need to let go of is the idea that one size fits all. Currently, there can be up to four different generations in a (...)

#artificial-intelligence #machine-learning #human-resources #employee-engagement

Understanding How Artificial Intelligence Can Make #blockchain Safer and Smarter
▻https://hackernoon.com/understanding-how-artificial-intelligence-can-make-blockchain-safer-and-

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In the AI field, you can build smart Machine Learning algorithms or impressive Neural Networks, but this powerful technology could be trustable or could generate intelligent responses based on the data you use when you train it.As I wrote in my article: Understanding The Gold Rush of Scalable and Validated Data powered by Blockchain and Decentralized AI for Hackernoon:The best results in the AI field are in closed and well-defined ecosystems, such as video games, where AI algorithms have beaten every world champions, even in DOTA 2, considered one of the most complex video game in the industry… …In open environments like social media or big data, AI’s algorithms have performed less, or sometimes AI’s results are dangerously wrong.Wait but why?In scripted environments like video games, you (...)

#smart-contracts #artificial-intelligence #blockchain-ai

Artificial Interior Designers: How #ai is helping scientists study cultures around the world
▻https://hackernoon.com/artificial-interior-designers-how-ai-is-helping-scientists-study-culture

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People trained computers using a programming technique called transfer learning. People first pick out objects in rooms — and then the computers could do the work on their own. Credit: Penn StateArtificial intelligence helped a team of researchers analyze about a million images of living rooms all over the world to better understand how different cultures decorate their homes.According to a Penn State news release, the researchers used a type of machine learning, called transfer learning, to pick out wall colors, wall #art, books, and other beautifying techniques to see how people personalized their living rooms — about 50,000 living rooms, as a matter of fact. The living room pictures were collected from the Airbnb website, a place where people market their rental homes and rooms.“We were (...)

#culture #machine-learning #artificial-intelligence

AI, ML and Big Data in Healthcare
▻https://hackernoon.com/ai-ml-and-big-data-in-healthcare-89c21f31ca9e?source=rss----3a8144eabfe3

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Artificial intelligence (AI) isn’t a new idea, but it’s only in recent years that our technology has caught up to the point at which it has practical uses. We’re a long way away from true artificial intelligence like the human-like robots and computers that we see in science fiction movies, but we are at least in a place where AI can outperform human beings at certain tasks.And AI could be particularly powerful in the health care industry. One piece of research from Accenture found that key clinical health AI applications can potentially create $150 billion in annual savings for the US health care economy by 2026. Another report from Tractica found that the AI health care market will be worth $34 billion by 2025.AI is great at performing repetitive tasks, and there’s no shortage of them in (...)

#artificial-intelligence #big-data #big-data-healthcare #digital-health #machine-learning

#ico News: Why is #binance Betting on Fetch.AI?
▻https://hackernoon.com/ico-news-why-is-binance-betting-on-fetch-ai-51bf3f714d94?source=rss----3

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Let us take a look at why Binance Launchpad — notorious for its quality assessments and promotion of “truly transformative” crypto projects — has shortlisted ‘Fetch.AI’ for its next token sale.We are now journeying through the longest bear market in the history of the crypto world.We saw one of the most iconic bull runs in crypto history, which started in Q4 of 2017 and Q1 of 2018, and almost all major currencies attained all-time highs. Once the bears started gripping the market, we also witnessed the crash of all major digital assets — by as much as 80% — 90%.In 2018, we had almost 2200+ ICO offered; most of them generating high interest from the community. Post-summer of 2018, the ICO market also started to feel the brunt of crypto meltdown, as most of them struggled to raise the needed funds to (...)

#artificial-intelligence #fetch-ai #blockchain

Fast.ai in production. Real-word text classification with ULMFiT.
▻https://hackernoon.com/fast-ai-in-production-real-word-text-classification-with-ulmfit-199769be

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I’ve overcome my skepticism about fast.ai for production and trained a text classification system in non-English language, small dataset and lots of classes with ULMFiT.About the projectMy friend and classmate, who is one of the founders of RocketBank (leading online-only bank in Russia), asked me to develop a classifier to help first-line of customer support.The initial set of constraints was pretty restricted —no labeled historical dataobfuscated personally identifiable information“we want it yesterday”mostly Russian language (hard to find pre-trained model)no access to cloud solutions due to privacy regulationsability to retrain the model if new classes arise without my involvementThe scope of work was pretty straight forward — develop a model and serving solution for incoming messages (...)

#customer-support #fastai #machine-learning #banking #artificial-intelligence

Four Exciting Areas #ios App Development Will Evolve over the Next Five Years
▻https://hackernoon.com/four-exciting-areas-ios-app-development-will-evolve-over-the-next-five-y

A glimpse of what can be expected soon, to trigger the preparation of stakeholders for the changeA not-so-far #future. (Picture source)The world has been dazed in recent years by trends in technologies that didn’t exist 10–15 years ago. What’s more interesting is the way the future is being created through these concepts. If you think you have seen it all with the apps developed and currently available on iOS thus far, you will be absolutely stunned at how iOS app development will evolve over the next five years.Here are 4 areas you can watch out for:1. Artificial IntelligenceArtificial Intelligence (AI) is a unique paradigm shifter. Every day, forward-thinking people in the iOS app development world are creating new AI-based apps. Starbucks, for example, released an iOS app, My Starbucks (...)

#iot #ios-app-development #artificial-intelligence

Building a Neural Network Only Using NumPy
▻https://hackernoon.com/building-a-neural-network-only-using-numpy-7ba75da60ec0?source=rss----3a

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Using Andrew Ng’s Project Structure to Build a Neural Net in PythonIntroductionAfter having completed the deeplearning.ai Deep Learning specialization taught by Andrew Ng, I have decided to work through some of the assignments of the specialization and try to figure out the code myself without only filling in certain parts of it. Doing so, I want to deepen my understanding of neural networks and help others gain intuition by documenting my progress in articles. The complete notebook is available here.In this article, I’m going to build a neural network in #python only using NumPy based on the project structure proposed in the deeplearning.ai Deep Learning specialization:Define the structure of the neural network2. Initialize the parameters of the neural network defined in step one3. Loop (...)

#deep-learning #machine-learning #artificial-intelligence #data-science

How It Feels to Learn #data Science in 2019
▻https://hackernoon.com/how-it-feels-to-learn-data-science-in-2019-50a7200f4129?source=rss----3a

Seeing the (Random) Forest Through the (Decision) TreesThe following was inspired by the Hacker Noon article How it Feels to Learn JavaScript in 2016 and was originally published on Towards Data Science. Do not take this article too seriously. This is satire so do not treat it as actual advice. Like all advice, some of it is good and some of it is terrible. This piece is just an opinion, much like people’s definition of data science.I heard you are the one to go to. Thank you for meeting with me, and thanks for the coffee. You know data science, right?Well, I know of it. I went to PyData and O’Reilly Strata last year and built a few models.Yeah, I heard you gave a great presentation on machine learning to our company last week. My coworker said it was really useful.Oh, the cat and dog (...)

#learn-data-science #artificial-intelligence #data-science #machine-learning

Smarter #education, Smarter AI
▻https://hackernoon.com/smarter-education-smarter-ai-d1cfe92c806e?source=rss----3a8144eabfe3---4

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We must pay more attention to artificial intelligence in the classroomPhoto by Drew Graham on UnsplashArtificial Intelligence has the potential to make us smarter, healthier and more entrepreneurial.This is one of my conclusions from evaluating healthcare start-ups for government investment. I have been doing this for over five years and it’s an excellent way to keep connected to the latest #business and technological trends.One trend that I have noticed recently is that AI-based applications have gradually started to dominate the business plan proposals that I receive. We see AI solutions in the diagnosis of patients, image analysis, drug development, clinical trials, fall detection systems, etc.So, when a student made the following observation in a class that I was teaching on business (...)

#technology #artificial-intelligence #life

What Kagglers are using for Text Classification
▻https://hackernoon.com/what-kagglers-are-using-for-text-classification-c695b58b5709?source=rss-

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Advanced NLP techniques for deep learningWith the problem of Image Classification is more or less solved by Deep learning, Text Classification is the next new developing theme in deep learning. For those who don’t know, Text classification is a common task in natural language processing, which transforms a sequence of a text of indefinite length into a category of text. How could you use that?To find the sentiment of a review.Find toxic comments on a platform like FacebookFind Insincere questions on Quora. A current ongoing competition on KaggleFind fake reviews on websitesWill a text advert get clicked or notAnd much more. The whole internet is filled with text and to categorize that information algorithmically will only give us incremental benefits, to say the least in the field of AI.Here (...)

#machine-learning #artificial-intelligence #ai #data-science #deep-learning

Everyone’s Doing It, But That Doesn’t Make It Easy: What To Consider When Building A Good Voice Or…
▻https://hackernoon.com/everyones-doing-it-but-that-doesn-t-make-it-easy-what-to-consider-when-b

Everyone’s Doing It, But That Doesn’t Make It Easy: What To Consider When Building A Good Voice Or Gesture ProductThis article is written by Marcin Kloda, the Vice President Of High-Technology and GM Americas at intive. intive is a software company focused on digital product development with more than 18 years of experience and 150+ apps.We’ve always been fascinated by communicating with machines — yes, even before Siri and Alexa. In fact, conversational systems go back way further than most people might think. Consider Audrey, for example. Born in 1952, Audrey was a 6-foot tall computing system developed by Bell Labs, which could recognize the sound of digits from zero to nine — at least, with voices it was familiar with.Almost 70 years later, we’ve come a long way. No longer a novelty, more and (...)

#artificial-intelligence #ai #product-development #product-design

How To Stay Relevant in the Age of A.I.
▻https://hackernoon.com/how-to-stay-relevant-in-the-age-of-a-i-7c3c3eba195b?source=rss----3a8144

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Knowledge isn’t power.Almost everything we know is either currently on the internet, or will be soon. If we reach a stage when every person and machine has access to the same information, what will set you apart from the pack?Your power is through connection.One way you’ll stand out is by cultivating an ability to communicate knowledge in a more compelling way than other people or machines can do it. We yearn for human connection, yet few people develop their skills in this area.Presenting and speaking and telling stories is going to have a far greater application in the future than just knowing facts.For example:1. Your CV will get you the interview, but your #communication skills land the job.The person with the best CV doesn’t always get hired. If they did we could cancel all job (...)

#public-speaking #artificial-intelligence #technology #business

Is Another AI Winter Coming?
▻https://hackernoon.com/is-another-ai-winter-coming-ac552669e58c?source=rss----3a8144eabfe3---4

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And, has deep learning already hit its limitations?The breakthrough “MAC Hack VI” chess program in 1965.Many believed an algorithm would transcend humanity with cognitive awareness. Machines would discern and learn tasks without human intervention and replace workers in droves. They quite literally would be able to “think”. Many people even raised the question whether we could have robots for spouses.But I am not talking about today. What if I told you this idea was widely marketed in the 1960’s, and AI pioneers Jerome Wiesner, Oliver Selfridge, and Claude Shannon insisted this could happen in their near future? If you find this surprising, watch this video and be amazed how familiar these sentiments are.▻https://medium.com/media/4d40b03daa62f0f06712f06284c37f9c/hrefFast forward to 1973, and (...)

#deep-learning #data-science #artificial-intelligence #machine-learning #ai-winter

Sudokus and Schedules
▻https://hackernoon.com/sudokus-and-schedules-4b4693b07c2b?source=rss----3a8144eabfe3---4

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Solving Scheduling Problems with Tree SearchPan Am’s Reservation Center in the 1950’sMachine learning is quite the rage these days, so much it is easy to lose sight of the fact there are other #algorithms in the “AI” space. As a matter of fact, these algorithms can be so crucial that it can be neglectful to overlook them.▻https://medium.com/media/5cdb4af8e1b955a096783fc3814f3114/hrefImagine you needed to schedule classes and classrooms. There are 36 periods, 36 rooms, and 800 lectures as your dimensions to schedule against. Want to take a guess how many possible configurations there are? Here is the answer: 1⁰²⁴⁹⁰ possible configurations. To put it in perspective, there are 1⁰⁸⁰ observable atoms in the universe. Even a task as mundane as classroom scheduling deals with astronomical numbers and (...)

#sudokus-and-schedules #machine-learning #artificial-intelligence #kotlin