- How to Manage Your Complex IT Landscape with AIOps - May 18, 2022.
Complete guide and blog post series on IT Operations Management with AIOps. Using AI and Machine Learning to manage IT complexity to deliver world class IT service while keeping the lights on.
Artificial Intelligence
- Does AI Get its Own Batman? - May 6, 2022.
AI is sending up the Bat-signal and synthetic data is answering the call for more robust, powerful, and less-biased AI systems.
Artificial Intelligence
- Machine Learning Is Not Like Your Brain Part One: Neurons Are Slow, Slow, Slow - May 5, 2022.
Artificial intelligence is not all that intelligent. While today’s AI can do some extraordinary things, the functionality underlying its accomplishments has very little to do with the way in which a human brain works to achieve the same tasks.
Artificial Intelligence
- How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry? - Apr 20, 2022.
Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.
Artificial Intelligence
- How Artificial Intelligence Can Transform Data Integration - Apr 19, 2022.
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
Artificial Intelligence
- Uncertainty Quantification in Artificial Intelligence-based Systems - Apr 5, 2022.
The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.
Artificial Intelligence
- People Management for AI: Building High-Velocity AI Teams - Mar 30, 2022.
Practical advice for managers and directors who are looking to build AI/ML teams.
Artificial Intelligence
- Data-Centric AI: Is it Real? For Everyone? Are We Ready? - Mar 22, 2022.
Check out this deep dive into Data-Centric AI.
Artificial Intelligence
- AI-Generated Sports Highlights: Different Approaches - Mar 16, 2022.
Competition for viewers’ attention is not over after the players leave the field. Now, anyone who can put up a highlight compilation or a game summarization first gets the edge. So, let’s talk about how media companies do just that — with the help of Artificial Intelligence.
Artificial Intelligence
- How a Level System can Help Forecast AI Costs - Mar 11, 2022.
To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.
Artificial Intelligence
- 8 Women in AI Who Are Striving to Humanize the World - Mar 8, 2022.
Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.
Artificial Intelligence
- How to Stay on Top of What’s Going on in the AI World - Mar 4, 2022.
How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.
Artificial Intelligence
- Hybrid AI Will Go Mainstream in 2022 - Mar 2, 2022.
Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.
Artificial Intelligence
- Analyzing the Probability of Future Success with Intelligence Node’s Attributes Evolution Model - Feb 28, 2022.
The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes. Read this article to know more.
Artificial Intelligence
- Data-Centric AI: The Latest Research You Need to Know - Feb 24, 2022.
While a vast majority of research efforts today are preoccupied solely with ML models and algorithms, the data itself tends to be secondary and is treated as fixed. This claim is potentially detrimental.
Artificial Intelligence
- 5 Ways to Apply AI to Small Data Sets - Feb 9, 2022.
It is better to use AI algorithms on small data sets for results free of human errors and false results when applied correctly. Here are some methods to apply AI to small data sets.
Artificial Intelligence
- Artificial Intelligence and the Metaverse - Feb 3, 2022.
For those of you who don’t know, Artificial intelligence (AI) is the ability of a computer or a computer-controlled robot to perform tasks that are usually done by humans as they require human intelligence. Metaverse’s AI research and usage include content analysis, supervised speech processing, computer vision, and much more.
Artificial Intelligence
- 5 Ways To Use AI For Supply Chain Management - Feb 2, 2022.
Using AI to help optimize supply chain management is becoming more prevalent across industries. Early adopters are more resilient and prepared for the inevitable future of artificial intelligence within the supply chain management industry.
Artificial Intelligence
- Artificial Intelligence Project Ideas for 2022 - Jan 20, 2022.
In this article, I will provide you with a list of artificial intelligence project ideas that would look great on your resume.
Artificial Intelligence
- 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
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
- 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
- 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
- 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
- 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
- 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
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
- 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
- Machine Learning Trends and the Future of Artificial Intelligence - Jun 22, 2016.
The confluence of data flywheels, the algorithm economy, and cloud-hosted intelligence means every company can now be a data company, every company can now access algorithmic intelligence, and every app can now be an intelligent app.
Algorithmia, Algorithms, Artificial Intelligence, Cloud, Machine Intelligence, Machine Learning
- Let Me Hear Your Voice and I’ll Tell You How You Feel - May 24, 2016.
This post provides an overview of a voice tone analyzer implemented as part of a cohesive emotion detection system, directly from the researcher and architect.
Artificial Intelligence, Deep Learning, Emotion
- Are Deep Neural Networks Creative? - May 12, 2016.
Deep neural networks routinely generate images and synthesize text. But does this amount to creativity? Can we reasonably claim that deep learning produces art?
Artificial Intelligence, Deep Learning, Generative Adversarial Network, Generative Models, Recurrent Neural Networks, Reinforcement Learning, Zachary Lipton
- 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
- The Data Science Puzzle, Explained - Mar 10, 2016.
The puzzle of data science is examined through the relationship between several key concepts in the data science realm. As we will see, far from being concrete concepts etched in stone, divergent opinions are inevitable; this is but another opinion to consider.
Pages: 1 2
Artificial Intelligence, Data Mining, Data Science, Deep Learning, Explained, Machine Learning
- How IBM Watson is Taking on The World - Feb 18, 2016.
We have made tremendous progress in the field of data analysis and on the other, our technology is getting smart. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future.
Artificial Intelligence, DeZyre, IBM, Watson
- Facebook Open Sources deep-learning modules for Torch - Feb 9, 2015.
We review Facebook recently released Torch module for Deep Learning, which helps researchers train large scale convolutional neural networks for image recognition, natural language processing and other AI applications.
Artificial Intelligence, Deep Learning, Facebook, GPU, Neural Networks, NYU, Ran Bi, Torch, Yann LeCun
- 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
- Does Deep Learning Have Deep Flaws? - Jun 19, 2014.
A recent study of neural networks found that for every correctly classified image, one can generate an "adversarial", visually indistinguishable image that will be misclassified. This suggests potential deep flaws in all neural networks, including possibly a human brain.
Artificial Intelligence, Deep Learning, Google, Image Recognition, Neural Networks
- 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
