#artificial-intelligence

How to Scale Training Data
▻https://hackernoon.com/how-to-scale-training-data-9d75e110048f?source=rss----3a8144eabfe3---4

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A Guide to #outsourcing Without Compromising Data QualityIn order for data science teams to outsource annotation to a managed workforce provider — also known as a Business Process Outsourcer (BPO) — they must first have the tools and infrastructure to store and manage their training data. Data management tools and infrastructure should support R&D product management teams, outsourced labeling teams, and internal labeling and review teams working together in a single centralized place with fully transparent oversight.Scaling with Subject Matter ExpertiseThere is a direct relationship between the volume of your training data and the size of your annotation team. The alternative to scaling your annotation workforce through outsourcing is hiring an internal team of labelers. While this is an (...)

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

#interview with #kaggle GrandMaster: Dr Bojan Tunguz
▻https://hackernoon.com/interview-with-kaggle-grandmaster-dr-bojan-tunguz-726b28e601e?source=rss

Interview with Kaggle GrandMaster, Data Scientist: Dr. Bojan TunguzPart 14 of The series where I interview my heroes.Index to “Interviews with ML Heroes”In this very interview, I’m super excited talking to another great kaggler: The Discussions grandmaster: (kaggle: @tunguz, ranked #3), Kernels (Ranked #10) and Competitions Master (Ranked #23): Dr. Bojan TunguzDr. Bojan Tunguz holds a Ph.D. in Applied Physics from the University of Illinois and a masters in Physics from Stanford University.He is currently working as a Data Scientist at H2o.ai, before H2o.ai he had worked at Figure as a Data Scientist and at ZestFinance as a Machine Learning Modeler.About the Series:I have very recently started making some progress with my Self-Taught Machine Learning Journey. But to be honest, it wouldn’t be (...)

#artificial-intelligence #machine-learning #deep-learning

#healthcare #innovation in 2018
▻https://hackernoon.com/healthcare-innovation-in-2018-a8c4c28e4b30?source=rss----3a8144eabfe3---

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Modernization in Healthcare to watch out this yearHealthcare Innovation in 2018While technology has been leaving its footprints on every turf, healthcare is one of the most positively affected areas. Undoubtedly, technology has played an instrumental role in transforming the workings of the healthcare sector. New advancements in technology have helped in shaping the healthcare industry in the right way.From research and treatments to data collection, innovation has paved the way for such incredible changes in the healthcare industry. Changing trends in the technological world have improved the quality of healthcare that people receive in a significant manner. Several attributes that need to be taken into consideration in order to bring a positive change includes the need for maintenance (...)

#big-data #healthcare-innovations #artificial-intelligence

Text Summarization Using #keras Models
▻https://hackernoon.com/text-summarization-using-keras-models-366b002408d9?source=rss----3a8144e

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Learn how to summarize text in this article by Rajdeep Dua who currently leads the developer relations team at Salesforce India, and Manpreet Singh Ghotra who is currently working at Salesforce developing a machine learning platform/APIs.Text summarization is a method in natural language processing (NLP) for generating a short and precise summary of a reference document. Producing a summary of a large document manually is a very difficult task. Summarization of a text using machine learning techniques is still an active research topic. Before proceeding to discuss text summarization and how we do it, here is a definition of summary.A summary is a text output that is generated from one or more texts that conveys relevant information from the original text in a shorter form. The goal of (...)

#artificial-intelligence #machine-learning #keras-models #deep-learning

Reinforcement Learning’s Generalization Problem
▻https://hackernoon.com/reinforcement-learnings-generalization-problem-414d276c4000?source=rss--

… or why your reinforcement learning agent behaves oddly on unseen game levels.This article details the testing of a PPO-trained A2C agent’s generalization ability. Code available at ▻https://github.com/davidleejy/ai-safety-gridworldsTests of GeneralizationRecently, Deepmind & OpenAI released environments meant for gauging agents’ ability to generalize — a fundamental challenge even for modern deep reinforcement learning.The need for generalization is ubiquitous — for instance, when an agent is trained in a simulator but is then deployed in the real world (this difference is also known as the reality gap). However, common benchmarks today use the same environments for both training and testing — a practice that offers relatively little insight into an agent’s ability to generalize.The following (...)

#deep-learning #reinforcement-learning #artificial-intelligence #machine-learning #neural-networks

✏️ Advanced annotation tools in Deep Learning: training data for computer vision with Supervisely
▻https://hackernoon.com/%EF%B8%8F-advanced-annotation-tools-in-deep-learning-training-data-for-c

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Computer vision platform Supervisely covers entire R&D lifecycle, including data labeling. To build accurate computer vision systems you need a lot of high-quality labeled data. Supervisely provides best-in-class data annotation tools and infrastructure to organize scalable labeling process with a few clicks.The goal of this post is to cover most useful annotation features of Supervisely that will help you to label images and videos for your computer vision application.Try Community Edition, it is free, available online, with no limitations.Enterprise Edition is a self-hosted solution designed for businesses to guarantee 100% data privacy.SmartTool — precise annotation for semantic segmentationSay goodbye to polygonal and brush tools. One year ago we announced first version of (...)

#saas #data-science #annotation-tools #machine-learning #artificial-intelligence

Even Smarter: Achieving #aiops in the Age of Big Data
▻https://hackernoon.com/even-smarter-achieving-aiops-in-the-age-of-big-data-8240be07208?source=r

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How is a new era of data challenges changing operation and maintenance for IT? Best practice form the Alibaba tech team.This article is part of the AIOps for Big Data series.The heart of artificial intelligence is data, and companies with a lot of it are constantly working to boost what it can do for them. Beyond that simple fact, though, many continue to wonder what it means to say that data is involved in development practices like AIOps (AI for IT operations), or how data can be used in place of human and even machine-driven analytics.Further questions abound. How can we use machine learning algorithms together with big data-based business operation and maintenance platforms? How can machine learning enhance alarm filtering, anomaly monitoring, automated repairs, and other tasks to (...)

#machine-learning #artificial-intelligence #big-data #big-data-aiops

The Hot and the Odd: A Critical View on Innovative #cybersecurity Practices for 2019
▻https://hackernoon.com/the-hot-and-the-odd-a-critical-view-on-innovative-cybersecurity-practice

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Let’s face it. The good old days of hacking are over.You may remember that period when cybercrime was the work of underfunded individuals operating on their own. Traditional cyber security measures were usually more than enough to block attacks and protect networks and users. What’s more, criminals’ core motivation, money, made their behaviors easy to predict.Thinking about it retrospectively, it wasn’t that bad, right?Today’s landscape is less straightforward. Perpetrators are organized and have access to funding and manpower to make enterprises and economies tremble. Financial incentives behind data breaches meet political ambitions. And new categories of devices mean new entry points for attacks.With thousands of threat events recorded every second and no sign of ceasefire, 2019 might be (...)

#threat-intelligence #domain-names #artificial-intelligence #threat-hunting

IoT’s upcoming trends and business opportunities
▻https://hackernoon.com/iots-upcoming-trends-and-business-opportunities-cdf0557a4c06?source=rss-

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Earlier what was called machine to machine was merely an idea and now IoT which is a giant network of connected things is no longer a nascent dream. McKinsey predicts the IoT market will be worth $581B for ICT-based spend alone by 2020, growing at a Compound Annual Growth Rate (CAGR) between 7 and 15%. According to Statista, for 2020, the installed base of Internet of Things devices is forecast to grow to almost 31 billion worldwide. “The IoT will continue to deliver new opportunities for digital business innovation for the next decade, many of which will be enabled by new or improved technologies,” said Nick Jones, research vice president at Gartner. Whether you are thinking of creating your own IoT startup or considering adding IoT applications to your business or just inquisitive, it (...)

#software-development #internet-of-things #technology-trends #technology #artificial-intelligence

The Future is Now: #ai for Evil vs AI for Good
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The explosive growth in artificial intelligence capabilities is thanks to the ingenuity of human beings. Building machines to take over positions in service industries from construction to retail is a big step for technology and an even bigger step for mankind. But while some of us fear for our jobs, AI in the wrong hands may have more nefarious intentions, even putting lives at stake.In business settings, AI augmentation reduces the mundane and repetitive tasks we do on a daily basis, helping to free up our valuable creative energies. By 2021, this will generate almost $3 trillion for businesses and account for 6.2 billion hours of worker productivity. As a force for good, we look to AI to help us be safer, learn smarter, and work more efficiently — but not everyone has good motivations (...)

#ai-for-good #infographics #artificial-intelligence #ai-for-evil

#tensorflow.js — Real-Time Object Detection in 10 Lines of Code
▻https://hackernoon.com/tensorflow-js-real-time-object-detection-in-10-lines-of-code-baf15dfb95b

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TensorFlow.js — Real-Time Object Detection in 10 Lines of CodeIn my last article I showed you how to do image classification in the browser.Image classification can be a very useful tool, it can give us an idea of what’s in an image. However, sometimes we want more. It can be a little counterintuitive, but just because a machine learning model can tell what’s in an image, doesn’t mean it can tell us where it is in the image. We need a different architecture for that.That’s where object detection comes into play.Object detection opens up the capability of counting how many objects are in a scene, tracking motion and simply just locating an object’s position.By the end of this tutorial we’ll have a fully functional real-time object detection web app that will track objects via our webcam.Detecting (...)

#machine-learning #technology #javascript #artificial-intelligence

Can Code be Self Aware? Musings on Studying Computer Science at #mit (Part I)?
▻https://hackernoon.com/can-code-be-self-aware-musings-on-studying-computer-science-at-mit-part-

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I remember first thinking about self-awareness, like many things, from watching too much science fiction. Was Data, the android in Star Trek: The Next Generation, a conscious being, or just a “machine”?Was Data Self-Aware? Picard Argued Yes.OK robots are one thing — they have a physical presence and whether or not they are conscious most machines will have some basic self-diagnostic capabilities and be aware of the state of their “physical body”. Even a car is now “aware” if its door is open or not or if the seat belt is on.There are examples of robots passing the Mirror Test (read about it here), which was created by Gallop in 1970 to see if an animal (or a species of animals) could recognize themselves. According to Gallop, most infants didn’t pass this test until they were at least 18 months (...)

#hacking #programming #robotics #artificial-intelligence

How Can Reality be Extended?
▻https://hackernoon.com/how-can-reality-be-extended-4aa1515cacf0?source=rss----3a8144eabfe3---4

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How Could Reality be Extended?Seen through heavy, sweaty equipment. It can be nauseating. It can be terrifying. But it makes you want to explore. You want to know how it was all made, and when. And by who.Your Grandad’s RealityOf course I’m not talking about VR here but our normal everyday existence. It’s a perplexing trip, to be riding through life, observing and poking things. It’s even weirder to do so when you’re in a virtual reality experience and forget for just a moment that what you are experiencing is not real.Suddenly finding yourself awake in a world, virtual or not, is shocking. Coming round from general anaesthetic after surgery, or being rudely awoken from a deep dream or being inserted into a VR headset can be a shocking and confusing experience for a few moments.But after (...)

#virtual-reality #artificial-intelligence #ar #extended-reality #reality-be-extended

Interview with the Author of PyImageSearch and Computer Vision Practitioner: Dr. Adrian Rosebrock
▻https://hackernoon.com/interview-with-the-author-of-pyimagesearch-and-computer-vision-practitio

Part 13 of The series where I interview my heroes.During the past few interviews, I’ve had the chance of interacting with Kaggle Grandmasters, Technical Leaders, Practitioners, and Two Distinguished Researchers and an OpenAI Fellow.Today, I’m talking with One of my Gurus and mentors: Dr. Adrian RosebrockAdrian is the author of the PyImageSearch blog, he runs one of the best Computer Vision Course: PyImageSearch Gurus, where I had the chance of being mentored by him.He also holds a Ph.D. in CS, he’s a serial entrepreneur and has been working on startups for the past 8 years.About the Series:I have very recently started making some progress with my Self-Taught Machine Learning Journey. But to be honest, it wouldn’t be possible at all without the amazing community online and the great people that (...)

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

Running Artificial Intelligence on the #blockchain
▻https://hackernoon.com/running-artificial-intelligence-on-the-blockchain-77490d37e616?source=rs

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Smart contracts, known to be used with the blockchain technology, is a computer program that directly controls the transfer of digital currencies or assets between parties under certain conditions. However, there is one particular characteristic that is lacking which ceases a wider application for smart contracts. In spite of many games and pyramid scheme DApps, this feature is a prominent reason why smart contracts have not been very successful thus far — AI Smart Contracts.So what is AI?Artificial Intelligence (AI) is not a new term, it has been around since the 1950s. Artificial Intelligence can be defined as human intelligence exhibited by Machines. Earlier works of AI used methods like A*, fuzzy logic, expert systems, and good old-fashioned AI (GOFAI), the same if-then rules that are (...)

#quantization #blockchain-ai #ai-on-blockchain #artificial-intelligence

#fintech in 2019
▻https://hackernoon.com/fintech-in-2019-54309d19bdb7?source=rss----3a8144eabfe3---4

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Trends to watch out for, the next big year!Image Courtesy: kisahdunia.comFinancial Technology or its portmanteau ‘FinTech’ is no longer confined to the dark and dingy corners of back-offices, in fact, it has taken centre stage by making itself indispensable to almost all of the customer-driven processes. Any digital transaction, be it, online shopping, foreign currency exchange, stock investments or money transfers, is possible at our fingertips thanks to ‘FinTech.’ So, how did FinTech come to play such an essential role in the lives of us consumers?As it was rightly said by Mr. White — “I am the one who knocks”. This new explosion in IT is definitely the one that is knocking on every VCs and investors doorstep. This could be precisely said because the overall investment in Financial Technology (...)

#fintech-trend #artificial-intelligence #cryptocurrency #regtech

A beginner’s guide to Computer Vision in #retail
▻https://hackernoon.com/a-beginners-guide-to-computer-vision-in-retail-b5a31cfd5283?source=rss--

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A Beginner’s Guide to Computer Vision in RetailNow with 7 explanatory videosAnyone with a wet finger in the air will by now have heard of the “retail apocalypse” sweeping through the developed world’s malls. “People aren’t spending in stores anymore”, your quarter-informed uncle complains, before moaning that youths are too busy Instagramming their avocado brunches to burn crosses on people’s lawns. Indeed, the old retailing models aren’t working as well as they used to. The fact that they were terrible models to start with probably had something to do with it.The most forward-thinking retailers are however adapting, and are not only surviving, but thriving. This is in part due to new technologies, which have enabled a wide range of innovations. Least of these technologies is Computer Vision, (...)

#retail-computer-vision #future #computer-vision #artificial-intelligence

2019 Predictions: How We Learned to Stop Worrying and Love AI
▻https://hackernoon.com/2019-predictions-how-we-learned-to-stop-worrying-and-love-ai-9073ba216f4

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I recently got the chance to share a couple predictions about what 2019 will bring to the world of Artificial Intelligence via Forbes. Thought I’d expand on them here.As someone who has been fascinated with AI and machine learning since the earliest days of my career, the rapid pace of progress in the field has been astounding. Almost overnight we went from an era of struggling to do simple image recognition tasks (think: “hot dog, not hot dog”) to AIs powered by deep neural networks capable of understanding and describing complex scenes with more accuracy and speed than humans.The pace of innovation is only accelerating. The tools are getting more powerful, cheaper, and accessible. I spent the first 5 years of my career working on machine learning projects, and I often joke that those 5 (...)

#machine-learning #artificial-intelligence #ai-2019 #software-development #ai-predictions

It all Boils Down to the Training Data
▻https://hackernoon.com/it-all-boils-down-to-the-training-data-ae9b17345317?source=rss----3a8144

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ML Training Data PipelineIs your model not performing well? Try digging into your data. Instead of getting marginal improvements in performance by searching for state-of-the-art models, drastically improve your model’s accuracy by improving the quality of your data.Since most data scientists are adapting off-the-shelf algorithms to specific business applications, one of the most difficult challenges that data scientists face today is creating a continuous workflow that consistently feeds high-quality training data into their algorithms. At the same time, your model is learning and you want to be able to leverage this intelligent model to label the rest of your data set. Building the infrastructure to do annotation that integrates with your model and managing the workflow is the most (...)

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

Start Using #tensorflow.js — Without Leaving This Article
▻https://hackernoon.com/start-using-tensorflow-js-without-leaving-this-article-fb683ac509ed?sour

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Start Using TensorFlow.js — Without Leaving This ArticleOne of the largest obstacles for beginners getting experience with artificial intelligence and machine learning can honestly be the setup.I’m not going to lie, there are still plenty of days that completely slip away, just trying to get Python, TensorFlow and my GPU to cooperate. Does this make me question my abilities as a competent software engineer? Yes, yes it does.I digress.So what is TensorFlow.js and how can it help us? From the official page, TensorFlow.js is, “A #javascript library for training and deploying ML models in the browser and on Node.js.”What does that mean for us? We can try it out right from this Medium article!▻https://medium.com/media/da56293a024508102e9c1b92fa4b7de5/hrefIn this demo we are using a deep learning model (...)

#artificial-intelligence #machine-learning #tensorflowjs

Review of Microsoft’s Desi Chatbot, Ruuh
▻https://hackernoon.com/review-of-microsofts-desi-chatbot-ruuh-2652784a396d?source=rss----3a8144

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In our day to day life, it’s easy to take our ability to converse for granted. Thanks to the enormous amount of data we collect every second of our life through our sensory organs, we possess a huge amount of data which makes our ability to converse fluid. The emotional factor that we add in our conversation just makes it “human”. We all converse with our friends, families, strangers (sometimes) and easily understand the context of the discussion, the emotion, hidden meanings, etc. As simple as it may be for humans, it definitely isn’t the case with computers.With growing veins of Artificial Intelligence, we are getting surrounded by virtual assistants like Siri, Alexa, Cortana, etc. and tons of #chatbots and have transitioned into the “Age of Chatbots”. Let me draw the line clearly: A (...)

#artificial-intelligence #deep-learning #social-media #nlp

The best image annotation platforms for computer vision (+ an honest review of each)
▻https://hackernoon.com/the-best-image-annotation-platforms-for-computer-vision-an-honest-review

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We at Humans in the Loop are constantly on the lookout for the best image annotation platform that offers multiple functionalities, project management tools and optimization of the annotation process (even 1 second less per image matters when you have to annotate 50k images!).Based on our experience with each one of these platforms, we are sharing here our honest reviews, hoping that this would be of use for data scientists looking to manually label their data.Here are our criteria:PriceVariety of functions, tools and formatsProject management and ease of useLabelIMGLabelImg is an open source image labeling tool that has pre-built binaries for Windows so it’s extremely easy to install.Price: FreeFunctionalities: only supports bounding boxes (there is also a version in the RotatedRect (...)

#image-annotation #artificial-intelligence #machine-learning #computer-vision #image-recognition

#blockchain and AI: How Does the Future of These Trending Technologies Look?
▻https://hackernoon.com/blockchain-and-ai-how-does-the-future-of-these-trending-technologies-loo

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Photo by Joshua Wilking on UnsplashI believe I’m one of the luckiest people who have had the chance to witness this generation of technological advancements. Ideas that seemed impossible at one point of time are being brought to reality, routine tasks are getting automated and our day-to-day lives are getting better with technology seeping in from all the corners of our lives. Groundbreaking technologies including Internet of Things, Blockchain and AI are constantly on the look-out for making advancements with the development of new applications.It’s been around an year and a half since I started learning about blockchain. Being one amongst the top revolutionary technologies in the world today, Blockchain has proved itself successful in multiple areas of applications other than (...)

#technology-trends #blockchain-technology #blockchain-application #artificial-intelligence

The Future of #content: Can AI Replace Humans
▻https://hackernoon.com/the-future-of-content-can-ai-replace-humans-9c1ab2d21cb4?source=rss----3

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The robot uprising is a very legitimate fear that many people have. Some people believe that it is only a matter of time before robots completely take over the world. They believe that human beings are slowly creating the tools for their own destruction. This fear is only becoming more and more real with the increasing intelligence of AI technologies all around the world. Today, there are robots that write the code that can create other even smarter robots, which makes some people wonder how long will it be before technology grows beyond human understanding?Well, speculation aside, AI is here with us. Studies show that over 40% of today’s existing jobs could be replaced by automation and AI within the next decade. Already, many manufacturing jobs are being automated, and entire (...)

#artificial-intelligence #ai-content #content-marketing #ai-writing

Being a Machine Learning Engineer: 7-months in
▻https://hackernoon.com/being-a-machine-learning-engineer-7-months-in-343a6fae0234?source=rss---

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Being a Self-Taught Machine Learning Engineer: 7-months in7 things I’ve learned after my first 7-months as a Machine Learning EngineerWhere the magic happens (also the place you’ll find me on most weekends) — @mrdbourke on InstagramI’ve been a Machine Learning Engineer at Max Kelsen for the past 7-months. And of the few projects I’ve worked on, there are a few things which have come up every time.Of course, it’s never the same because the data is different, the clients are different and the objectives are different. But the principles of one problem can often be used for another.Here are a few things I have to remind myself of every time I start to go to work with a new dataset.A) Look at the data. No really, look at the data.When you first get a dataset, the first thing you should do is go (...)

#consulting #artificial-intelligence #online-learning #data-science #machine-learning