A Day in the Life of an AI Developer - Jan 16, 2018.
This is the narrative of a typical AI Sunday, where I decided to look at building a sequence to sequence (seq2seq) model based chatbot using some already available sample code and data from the Cornell movie database.
AI, Developer, TensorFlow
- Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions - Jan 11, 2018.
Democratization is defined as the action/development of making something accessible to everyone, to the “common masses.” AI | ML | DL technology stacks are complicated systems to tune and maintain, expertise is limited, and one minimal change of the stack can lead to failure.
AI, Deep Learning, Dell, EMC, Machine Learning
Top 10 TED Talks for Data Scientists and Machine Learning Engineers - Jan 10, 2018.
A comprehensive and diverse compilation of TED talks to understand the big picture of AI and Machine Learning.
AGI, AI, Anthony Goldbloom, Machine Learning, Nick Bostrom, TED, Zeynep Tufekci
- Cartoon: AI at Home: How Far Can A Smart Device Go? - Jan 6, 2018.
New KDnuggets cartoon looks at AI at Home technology and considers how a novel way how a smart device can help its owner to lose weight.
AI, Cartoon, Humor, IoT
- Artificial General Intelligence (AGI) in less than 50 years, say KDnuggets readers - Jan 5, 2018.
Artificial General Intelligence (AGI) will likely be achieved in less than 50 years, according to latest KDnuggets Poll. The median estimate from all regions was 21-50 years, except in Asia where AGI is expected in 11-20 years.
AGI, AI, Artificial Intelligence, Poll, Singularity
- How AI Learns What You’re Willing to Pay - Dec 28, 2017.
Why are we all paying different prices? Is it price "personalization" or price "discrimination"? The answer isn't so simple.
AI, Airlines, Bias, Consumer Analytics, Machine Learning, Personalization
Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018 - Dec 15, 2017.
As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2017 and their 2018 key trend predictions.
2018 Predictions, AI, Ajit Jaokar, Brandon Rohrer, Daniel Tunkelang, Hugo Larochelle, Machine Learning, Pedro Domingos, Sebastian Raschka, Xavier Amatriain
- Exclusive: Interview with Rich Sutton, the Father of Reinforcement Learning - Dec 5, 2017.
My exclusive interview with Rich Sutton, the Father of Reinforcement Learning, on RL, Machine Learning, Neuroscience, 2nd edition of his book, Deep Learning, Prediction Learning, AlphaGo, Artificial General Intelligence, and more.
AGI, AI, AlphaGo, DeepMind, Machine Learning, Neuroscience, Reinforcement Learning, Richard Sutton, Yann LeCun
AlphaGo Zero: The Most Significant Research Advance in AI - Oct 27, 2017.
The previous version of AlphaGo beat the human world champion in 2016. The new AlphaGo Zero beat the previous version by 100 games to 0, and learned Go completely on its own. We examine what this means for AI.
AI, AlphaGo, DeepMind, Google, Reinforcement Learning, Xavier Amatriain
- Rethinking 3 Laws of Machine Learning - Oct 23, 2017.
We rethink Asimov’s 3 law of robotics to help companies moving to unsupervised machine learning and realize 100% automated predictive information governance (PIG).
AI, Humor, Machine Learning, Robots, Skynet
- 7 Types of Artificial Neural Networks for Natural Language Processing - Oct 19, 2017.
What is an artificial neural network? How does it work? What types of artificial neural networks exist? How are different types of artificial neural networks used in natural language processing? We will discuss all these questions in the following article.
Pages: 1 2
AI, Deep Learning, Natural Language Processing, Neural Networks
- How I started with learning AI in the last 2 months - Oct 9, 2017.
The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.
AI, Chatbot, Gradient Descent, Neural Networks, Python
- Credible Sources of Accurate Information About AI - Oct 9, 2017.
I want to recommend several credible sources of accurate information. Most of the writing on this list is intended to be accessible to anyone—even if you aren’t a programmer or don’t work in tech.
AI, fast.ai, Hype, Jeremy Howard, Rachel Thomas, Research, Twitter, Zeynep Tufekci
- Cartoon: What Else Can AI Guess From Your Face? - Sep 16, 2017.
Recent story about AI able to guess if a person is gay or straight from their photo led us to think what else can AI guess from your face.
AI, Cartoon, Face Recognition, Food, Humor
- Asimov’s 4th Law of Robotics - Sep 8, 2017.
It seems Isaac Asimov didn’t envision needing a law to govern robots in these sorts of life-and-death situations where it isn’t the life of the robot versus the life of a human in debate, but it’s a choice between the lives of multiple humans!
AI, Ethics, Kids, Robots, Self-Driving Car
I built a chatbot in 2 hours and this is what I learned - Sep 7, 2017.
I set out to test two things: 1) building a bot is useless from a business perspective and 2) building bots is crazy tough. Here is what I learned.
Pages: 1 2
AI, Chatbot, Hype, NLP
- Using AI to Super Compress Images - Aug 21, 2017.
Neural Network algorithms are showing promising results for different complex problems. Here we discuss how these algorithms are used in image compression.
AI, Compression, Convolutional Neural Networks, Image Recognition
4 Industries Being Transformed by Machine Learning and Robotics - Aug 15, 2017.
When used in combination with big data and machine learning, both AI and robotics can actively improve over time as they collect more information. You don’t have to look far to see how these technologies have revolutionized the world, and continue to do so.
AI, Automation, Industry, Machine Learning, Robots
What Artificial Intelligence and Machine Learning Can Do—And What It Can’t - Aug 10, 2017.
I have seen situations where AI (or at least machine learning) had an incredible impact on a business—I also have seen situations where this was not the case. So, what was the difference?
AI, Andrew Ng, Ingo Mierswa, Machine Learning, RapidMiner
- Summary of Unintuitive Properties of Neural Networks - Jul 24, 2017.
Neural networks work really well on many problems, including language, image and speech recognition. However understanding how they work is not simple, and here is a summary of unusual and counter intuitive properties they have.
AI, Deep Learning, Hugo Larochelle, Neural Networks
- Optimism about AI improving society is high, but drops with experience developing AI systems - Jul 21, 2017.
While about 60% of KDnuggets readers think AI and Automation will improve society, the optimism drops significantly among those with 4 or more years experience developing AI systems. Should we pay more attention to the experts?
AI, Automation, Poll, Social Good
AI and Deep Learning, Explained Simply - Jul 21, 2017.
AI can now see, hear, and even bluff better than most people. We look into what is new and real about AI and Deep Learning, and what is hype or misinformation.
Pages: 1 2 3
AI, Deep Learning, Explained, Machine Learning
- Road Lane Line Detection using Computer Vision models - Jul 19, 2017.
A tutorial on how to implement a computer vision data pipeline for road lane detection used by self-driving cars.
Pages: 1 2
AI, Computer Vision, Data Science, Machine Learning, Python, Self-Driving Car
- Why Every Company Needs a Digital Brain - Jul 11, 2017.
As emerging technologies like AI/machine learning are adopted across different parts of the business, enterprises require a “digital brain” to coordinate those efforts and generate systemic intelligence.
AI, Enterprise, H2O, Machine Learning
- What Are Artificial Intelligence, Machine Learning, and Deep Learning? - Jul 10, 2017.
AI and Machine Learning have become mainstream, and people know shockingly little about it. Here is an explainer and useful references.
AI, Artificial Intelligence, Deep Learning, Machine Learning, RapidMiner
- Spotlight on the Remarkable Potential of AI in KYC (Know Your Customer) - Jul 4, 2017.
Most people would have heard of the headline-making tremendous achievements in artificial intelligence (AI): Systems defeating world champions in board games like GO and winning quiz shows. These are small realizations of AI, but there is a silent revolution taking place in other areas, including Regulatory Compliance in Financial Services.
AI, Compliance, Customer Research, Finance, Money Laundering
- Deep Learning Zero to One: 5 Awe-Inspiring Demos with Code for Beginners, part 2 - Jul 1, 2017.
Here are deep learning examples and demos you can just download and run, including Spotify Artist Search using Speech APIs, Symbolic AI Speech Recognition, and Algorithmia API Photo Colorizer.
AI, Algorithmia, Beginners, Clarifai, Deep Learning, GitHub, iOS, Speech Recognition, Spotify
- The Unintended Consequences of Machine Learning - Jun 8, 2017.
But with great power comes great responsibility. Let me tell you a story about the unintended consequences of well-meaning machine learning research.
AI, Amazon, Machine Learning, Personalization
- The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity - Jun 1, 2017.
What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.
AI, Artificial Intelligence, Cybersecurity
- Natural Language Generation overview – is NLG is worth a thousand pictures ? - May 23, 2017.
NLG tools automate the analysis and enhance traditional BI platforms by explaining in plain English the significance of visualizations and findings – here is an overview of the market.
AI, Arria, BI, Narrative Science, Natural Language Generation, Yseop
- The Path To Learning Artificial Intelligence - May 19, 2017.
Learn how to easily build real-world AI for booming tech, business, pioneering careers and game-level fun.
AI, Artificial Intelligence, Deep Learning, Learning Path, Machine Learning, Online Education, Python
- Top 10 Recent AI videos on YouTube - May 10, 2017.
Top viewed videos on artificial intelligence since 2016 include great talks and lecture series from MIT and Caltech, Google Tech Talks on AI.
AI, Google, Machine Learning, MIT, Neural Networks, NVIDIA, Robots, Youtube
- How to Fail with Artificial Intelligence: 9 creative ways to make your AI startup fail - May 4, 2017.
This post summarizes nine creative ways to condemn almost any AI startup to bankruptcy. I focus on data science and machine learning startups, but the lessons on what to avoid can easily be applied to other industries.
AI, Artificial Intelligence, Failure, Startup
- AI & Machine Learning Black Boxes: The Need for Transparency and Accountability - Apr 25, 2017.
When something goes wrong, as it inevitably does, it can be a daunting task discovering the behavior that caused an event that is locked away inside a black box where discoverability is virtually impossible.
AI, Machine Learning, Transparency
- The dynamics between AI and IoT - Apr 18, 2017.
We see the need for a new type of Engineer who will combine knowledge from Electronics & IoT with Machine learning, AI, Robotics, Cloud and Data management (devops).
AI, Cloud Computing, Data Management, DevOps, Engineer, IoT, Robots
- Cartoon: Taxes, Artificial Intelligence, and Humans - Apr 15, 2017.
In honor of Tax Day, new KDnuggets Cartoon looks at an unexpected white-collar job that may resist automation and Machine Learning.
AI, Artificial Intelligence, Cartoon, Fraud Detection, Humans, Taxes
A Brief History of Artificial Intelligence - Apr 7, 2017.
This post is a brief outline of what happened in artificial intelligence in the last 60 years. A great place to start or brush up on your history.
AI, Artificial Intelligence, History, ImageNet
- Putting Together A Full-Blooded AI Maturity Model - Apr 5, 2017.
Here is a proposed “7A” model that is useful enough to capture of the core of what AI offers without falsely implying there is a static body of best practices in this area.
AI, Bernard Marr, Maturity Model, Methodology, Mike Gualtieri
- What is AI? Ingredients for Intelligence - Apr 3, 2017.
This introductory overview of artificial intelligence acts as a layman's guide what AI is, and what it is made up of.
AI, GRAKN.AI, Machine Intelligence, Turing Test
- Unsupervised Investments: A Comprehensive Guide to AI Investors - Mar 24, 2017.
This article presents a list of 80 funds investing in Artificial Intelligence and Machine Learning.
AI, Finance, Investment
50 Companies Leading The AI Revolution, Detailed - Mar 16, 2017.
We detail 50 companies leading the Artificial Intelligence revolution in AD Sales, CRM, Autotech, Business Intelligence and analytics, Commerce, Conversational AI/Bots, Core AI, Cyber-Security, Fintech, Healthcare, IoT, Vision, and other areas.
AI, Business Analytics, Cybersecurity, Data Science, Healthcare, IoT, Machine Learning
- Cartoon: What Happens When AI Masters the March Madness - Mar 14, 2017.
March Madness college basketball phenomenon is underway. New KDnuggets Cartoon looks at what happens when AI masters the March Madness.
AI, Basketball, Cartoon, March Madness, Sports
- Greed, Fear, Game Theory and Deep Learning - Mar 3, 2017.
The most advanced kind of Deep Learning system will involve multiple neural networks that either cooperate or compete to solve problems. The core problem of a multi-agent approach is how to control its behavior.
AI, Deep Learning, Reinforcement Learning
- Deep Learning, Artificial Intuition and the Quest for AGI - Feb 20, 2017.
Deep Learning systems exhibit behavior that appears biological despite not being based on biological material. It so happens that humanity has luckily stumbled upon Artificial Intuition in the form of Deep Learning.
AGI, AI, Deep Learning, Machine Intelligence
- Is Deep Learning the Silver Bullet? - Feb 1, 2017.
With nearly every every smart young computer scientist planning to work on deep learning, are there really still artificial intelligence researchers working on other techniques? Is deep learning the AI silver bullet?
AI, Deep Learning, Machine Learning
- 5 Free Courses for Getting Started in Artificial Intelligence - Feb 1, 2017.
A carefully-curated list of 5 free collections of university course material to help you better understand the various aspects of what artificial intelligence and skills necessary for moving forward in the field.
AI, Artificial Intelligence, Deep Learning, MIT, Reinforcement Learning, Self-Driving Car, UC Berkeley
- Artificial Intelligence and Speech Recognition for Chatbots: A Primer - Jan 26, 2017.
Bot bots bots... Read this overview of how artificial intelligence and natural language processing are contributing to chatbot development, and where it all goes from here.
AI, Artificial Intelligence, Chatbot, Speech Recognition
6 areas of AI and Machine Learning to watch closely - Jan 25, 2017.
Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.
AI, Deep Neural Network, Generative Adversarial Network, Machine Learning, Reinforcement Learning
- The Data Science Puzzle, Revisited - Jan 20, 2017.
The data science puzzle is re-examined through the relationship between several key concepts in the realm, and incorporates important updates and observations from the past year. The result is a modified explanatory graphic and rationale.
AI, Big Data, Data Mining, Data Science, Deep Learning, Machine Learning
- Data Science of Sales Calls: 3 Actionable Findings - Jan 19, 2017.
How does AI help sales and marketing teams in the organisation? Let’s understand Dos and don’ts of sales calls with the help of analysis of over 70,000+ B2B SaaS sales calls.
AI, Gong.io, Machine Learning, Sales, Speech Recognition
- The Five Capability Levels of Deep Learning Intelligence - Dec 22, 2016.
Deep learning writer Carlos Perez gives his own classification for deep learning-based AI, which is aimed at practitioners. This classification gives us a sense of where we currently are and where we might be heading.
AI, Deep Learning, Machine Intelligence
Machine Learning & Artificial Intelligence: Main Developments in 2016 and Key Trends in 2017 - Dec 20, 2016.
As 2016 comes to a close and we prepare for a new year, check out the final instalment in our "Main Developments in 2016 and Key Trends in 2017" series, where experts weigh in with their opinions.
2017 Predictions, AI, Artificial Intelligence, Machine Learning, Predictions
- Artificial Intelligence and Life in 2030 - Dec 15, 2016.
Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society.”
AI, Artificial Intelligence, Future
- Top 10 Amazon Books in Artificial Intelligence & Machine Learning, 2016 Edition - Nov 30, 2016.
Given the ongoing explosion in interest for all things Data Science, Artificial Intelligence, Machine Learning, etc., we have updated our Amazon top books lists from last year. Here are the 10 most popular titles in the AI & Machine Learning category.
AI, Amazon, Artificial Intelligence, Books, Machine Learning
Continuous improvement for IoT through AI / Continuous learning - Nov 25, 2016.
In reality, especially for IoT, it is not like once an analytics model is built, it will give the results with same accuracy till the end of time. Data pattern changes over the time which makes it absolutely important to learn from new data and improve/recalibrate the models to get correct result. Below article explain this phenomenon of continuous improvement in analytics for IoT.
AI, Deployment, IoT, Machine Learning, Model Performance, Realtime Analytics
- Agilience Top Artificial Intelligence, Machine Learning Authorities - Nov 7, 2016.
Agilience developed a new way to find authorities in social media across many fields of interest. In previous post we reviewed the top authorities in Data Mining and Data science; in this post we review top authorities in Artificial Intelligence and Machine Learning which includes Vineet Vashishta, Kirk D. Borne, KDnuggets, James Kobielus, Kaggle and more.
Pages: 1 2
About KDnuggets, Agilience, AI, Artificial Intelligence, Influencers, Kaggle, Kirk D. Borne, Machine Learning
- Artificial Intelligence Classification Matrix - Nov 3, 2016.
There might be several different ways to think around machine intelligence startups; too narrow of a framework might be counterproductive given the flexibility of the sector and the facility of transitioning from one group to another. Check out this categorization matrix.
AI, Artificial Intelligence, Classification, Startups
Artificial Intelligence, Deep Learning, and Neural Networks, Explained - Oct 14, 2016.
This article is meant to explain the concepts of AI, deep learning, and neural networks at a level that can be understood by most non-practitioners, and can also serve as a reference or review for technical folks as well.
AI, Artificial Intelligence, Deep Learning, Explained, Neural Networks
- 10 Algorithm Categories for AI, Big Data, and Data Science - Jul 14, 2016.
With a focus on leveraging algorithms and balancing human and AI capital, here are the top 10 algorithm categories used to implement A.I., Big Data, and Data Science.
AI, Algorithms, Big Data, Data Science
- The Hard Problems AI Can’t (Yet) Touch - Jul 11, 2016.
It's tempting to consider the progress of AI as though it were a single monolithic entity,
advancing towards human intelligence on all fronts. But today's machine learning only addresses problems with simple, easily quantified objectives
AI, Machine Learning, Optimization, Reinforcement Learning, Supervised Learning
- Ethics in Machine Learning – Summary - Jun 6, 2016.
Still worried about the AI apocalypse? Here we are discussion about the constraints and ethics for the machine learning algorithms to prevent it.
AI, Ethics, Machine Learning, MLconf, Seattle, WA
- Deep Learning and Neuromorphic Chips - May 12, 2016.
The 3 main ingredients to creating artificial intelligence are hardware, software, and data, and while we have focused historically on improving software and data, what if, instead, the hardware was drastically changed?
AI, Brain, Deep Learning, Neural Networks
- Microsoft is Becoming M(ai)crosoft - Apr 25, 2016.
This post is an overview and discussion of Microsoft's increasing investment in, and approach to, artificial intelligence, and how their philosophy differs from their competitors.
AI, Artificial Intelligence, Computer Vision, Cortana, Machine Learning, Microsoft, Natural Language Processing, Speech Recognition
- AI and Machine Learning: Top Influencers and Brands - Mar 8, 2016.
Onalytica gives us a new list of the top 100 Artifical Intelligence and Machine Learning influencers and brands, and provides some insight into the relationships between them.
About Gregory Piatetsky, AI, Influencers, Kirk D. Borne, Machine Learning, Onalytica, Top list
- AI Supercomputers: Microsoft Oxford, IBM Watson, Google DeepMind, Baidu Minwa - Feb 1, 2016.
In the world of AI, this is the equivalent of the US and USSR competing to put their guy on the moon first. Here is a profile of some of the giants locked into the AI space race.
AI, Baidu, Chris Pearson, DeepMind, Google, IBM Watson, Microsoft, Minwa
- Cartoon: Hello, Singularity - Jan 11, 2015.
New KDnuggets cartoon takes a look at what can happen when Artificial Intelligence (AI) achieves Singularity.
AI, Artificial Intelligence, Cartoon, Singularity
- KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun - Feb 20, 2014.
We discuss how far AI is likely to go, how Data Science to Statistics is like Computer Science was to Math, Big Data hype and reality, and advice to beginning Data Scientists.
AI, Artificial Intelligence, Big Data Hype, NYU, Singularity, Yann LeCun
