AI (327)

• How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022 - Dec 29, 2021.
  
  AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.

  AI, Business, Machine Learning

• Why we will always need humans to train AI — sometimes in real-time - Dec 21, 2021.
  
  Customizable, real-time data labeling pipelines that can continuously receive and process unlabeled data are necessary to train and perfect the AI that impacts our lives and daily conveniences.

  Active Learning, AI, Data Annotation, Data Labeling, Real-time

• A Faster Way to Prepare Time-Series Data with the AI & Analytics Engine - Dec 20, 2021.
  
  Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

  AI, Analytics, Time Series

• 10 Key AI & Data Analytics Trends for 2022 and Beyond - Dec 17, 2021.
  
  What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

  2022 Predictions, AI, Data, Data Analysis, Deep Learning, Environment, Low-Code, No-Code, Python, Trends

• Data Science & Analytics Industry Main Developments in 2021 and Key Trends for 2022 - Dec 14, 2021.
  
  We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

  2022 Predictions, AI, Analytics, Cloud, Data Lake, Data Science, Data Warehouse, Deep Learning, Machine Learning, Synthetic Data

• What Is AI Model Governance? - Dec 13, 2021.
  
  How exactly does AI model governance help tackle these issues? And how can you ensure you’re using it to best fit your needs? Read on.

  AI, Data Governance, Modeling

• Main 2021 Developments and Key 2022 Trends in AI, Data Science, Machine Learning Technology - Dec 10, 2021.
  
  Our panel of leading experts reviews 2021 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  2022 Predictions, AI, Carla Gentry, Data Science, Doug Laney, Kate Strachnyi, Kirk D. Borne, Machine Learning, Predictions, Tom Davenport, Trends

• Should You Become a Freelance Artificial Intelligence Engineer? - Dec 8, 2021.
  
  Take the first step towards your machine learning engineering career and explore the UC San Diego Extension Machine Learning Engineering Bootcamp today. Those with prior software engineering or data science experience are encouraged to apply.

  AI, Machine Learning, Online Education, UCSD

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022 - Dec 8, 2021.
  
  2021 has almost come and gone. We saw some standout advancements in AI, Analytics, Machine Learning, Data Science, Deep Learning Research this past year, and the future, starting with 2022, looks bright. As per KDnuggets tradition, our collection of experts have contributed their insights on the matter. Read on to find out more.

  2022 Predictions, AI, Analytics, Data Science, Deep Learning, Machine Learning

• A $9B AI Failure, Examined - Dec 7, 2021.
  
  What happened at Zillow? An important real-world lesson in... just because you have a cool AI tool, doesn't mean that alone becomes your business model.

  AI, Business Strategy, Predictive Modeling, Production, Project Fail, Real Estate

• 2021: A Year Full of Amazing AI papers — A Review - Dec 2, 2021.
  
  A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

  AI, Papers with code, Research, Review, Trends

• Accelerating AI with MLOps - Nov 24, 2021.
  
  Companies are racing to use AI, but despite its vast potential, most AI projects fail. Examining and resolving operational issues upfront can help AI initiatives reach their full potential.

  AI, Deployment, MLOps

• Stop Blaming Humans for Bias in AI - Nov 19, 2021.
  
  Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

  AI, Bias, Ethics, Humans, Responsible AI

• Where NLP is heading - Nov 18, 2021.
  
  Natural language processing research and applications are moving forward rapidly. Several trends have emerged on this progress, and point to a future of more exciting possibilities and interesting opportunities in the field.

  AI, Computer Vision, NLP, Transformer, Trends

• AI meets BI: Key capabilities to look for in a modern BI platform - Nov 17, 2021.
  
  With the customer at its heart, modern augmented BI platforms no longer require scripting/coding skills or the knowledge to build the back-end data models, empowering even laymen to harness the power of raw data. As a user, here are the top AI capabilities that you need to look for in BI software.

  AI, BI, Platform

• 10 AI Project Ideas in Computer Vision - Nov 16, 2021.
  
  The field of computer vision has seen the development of very powerful applications leveraging machine learning. These projects will introduce you to these techniques and guide you to more advanced practice to gain a deeper appreciation for the sophistication now available.

  AI, Computer Vision, Project

• Anecdotes from 11 Role Models in Machine Learning - Nov 12, 2021.
  
  The skills needed to create good data are also the skills needed for good leadership.

  Active Learning, AI, Data Science, Influencers, Machine Learning

• AI Infinite Training & Maintaining Loop - Nov 4, 2021.
  
  Productizing AI is an infrastructure orchestration problem. In planning your solution design, you should use continuous monitoring, retraining, and feedback to ensure stability and sustainability.

  AI, Deployment, Machine Learning, Production, Training

• The Case for a Global Responsible AI Framework - Oct 30, 2021.
  
  Public and private organizations have come out with their own set of AI principles, focusing on AI-related risks from their perspective. However, it’s imperative d=to have a global consensus on Responsible AI – based on data governance, transparency and accountability – on how to utilize and benefit from AI in a way that is both consistent and ethical.

  AI, Ethics, Responsible AI

• New Computing Paradigm for AI: Processing-in-Memory (PIM) Architecture - Oct 15, 2021.
  
  As larger deep neural networks are trained on the latest and fastest chip technologies, an important challenge remains that bottlenecks performance -- and it is not compute power. You can try to calculate a DNN as fast as possible, but there is data -- and it has to move. Data pipelines on the chip are expensive and new solutions must be developed to advance capabilities.

  AI, Hardware, In-Memory Computing, Samsung

• Teaching AI to Classify Time-series Patterns with Synthetic Data - Oct 1, 2021.
  
  How to build and train an AI model to identify various common anomaly patterns in time-series data.

  AI, Classification, Python, Synthetic Data, Time Series

• Computer Vision in Agriculture - Sep 27, 2021.
  
  Deep learning isn’t just for placing ads or identifying cats anymore. Instead, a slew of young startups have started to incorporate the advances in computer vision made possible through larger and larger neural networks to real working robots in the fields.

  Agriculture, AI, Computer Vision

• GitHub Copilot and the Rise of AI Language Models in Programming Automation - Sep 22, 2021.
  
  Read on to learn more about what makes Copilot different from previous autocomplete tools (including TabNine), and why this particular tool has been generating so much controversy.

  AI, Automation, GitHub, NLP, Programming

• Nine Tools I Wish I Mastered Before My PhD in Machine Learning - Sep 22, 2021.
  
  Whether you are building a start up or making scientific breakthroughs these tools will bring your ML pipeline to the next level.

  AI, Data Science, Data Science Tools, Machine Learning, Programming

• How Many AI Neurons Does It Take to Simulate a Brain Neuron? - Sep 13, 2021.
  
  A new research shows some shocking answers to that question.

  AI, Brain, Human Intelligence, Humans vs Machines

• Smart Ingestion: Using ontology-driven AI - Sep 8, 2021.
  
  Imagine data that organizes itself to power your decision-making.

  AI, ETL, Ontology

• Math 2.0: The Fundamental Importance of Machine Learning - Sep 8, 2021.
  
  Machine learning is not just another way to program computers; it represents a fundamental shift in the way we understand the world. It is Math 2.0.

  AI, Machine Learning, Mathematics

• KDnuggets™ News 21:n34, Sep 8: Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained - Sep 8, 2021.
  
  Do You Read Excel Files with Python? There is a 1000x Faster Way; Hypothesis Testing Explained; Data Science Cheat Sheet 2.0; 6 Cool Python Libraries That I Came Across Recently; Best Resources to Learn Natural Language Processing in 2021

  AI, Cheat Sheet, Data Science, Excel, Hypothesis Testing, Machine Learning, Python, Statistics

• Five Key Facts About Wu Dao 2.0: The Largest Transformer Model Ever Built - Sep 6, 2021.
  
  The record-setting model combines some clever research and engineering methods.

  AI, NLP, Transformer

• Future Says Series | Discover the Future of AI - Sep 1, 2021.
  
  This innovative project brings together industry thought leaders from top tech companies such as Google, PwC, King, DNB, Piab, Scania, Telefonica, and more to discuss what the future holds for data and AI. Watch Future Says Series as industry experts discuss real-life examples how they are scaling AI successfully within their organizations.

  AI, Altair, Industry, Trends

• The Significance of Data-centric AI - Aug 27, 2021.
  
  How a systematic way of maintaining data quality can do wonders to your model performance.

  AI

• Coding Ethics for AI & AIOps: Designing Responsible AI Systems - Aug 26, 2021.
  
  AI ops has taken Human machine collaboration to the next level where humans and machines are not just coexisting but are collaborating and working together like team members.

  AI, Bias, DevOps, Ethics, ModelOps, Responsible AI

• Jurassic-1 Language Models and AI21 Studio - Aug 23, 2021.
  
  AI21 Labs’ new developer platform offers instant access to our 178B-parameter language model, to help you build sophisticated text-based AI applications at scale.

  AI, GPT-3, NLP

• Including ModelOps in your AI strategy - Aug 9, 2021.
  
  The strategic power of AI has been established thoroughly across many industries and companies, leading to surges in model creation. Investments in the people, processes, and tools for operationalizing models, referred to as ModelOps, lag. This function of operationalizing, integrating, and deploying AI models in line with businesses value expectations is growing into a core business capability as global use of AI matures.

  AI, ModelOps, Strategy

• Artificial Intelligence vs Machine Learning in Cybersecurity - Aug 5, 2021.
  
  Artificial Intelligence and Machine Learning are the next-gen technology used in various fields. With the rise in online threats, it has become essential to include these technologies in cybersecurity. In this post, we will know what roles do AI and ML play in cybersecurity.

  AI, Cybersecurity, Machine Learning, Security

• Towards a Responsible and Ethical AI - Jul 30, 2021.
  
  It is not the technology at fault, but the intention.

  AI

• An AI-Based Framework Solution to Address Email Management Challenges - Jul 28, 2021.
  
  Expert.ai’s Edge NL API is an on-premise API that can perform NLU tasks with no required training or extra work, offering advanced, out-of-the-box capabilities that address common use cases and can be easily customized to your specific needs.

  AI, Automation, Expert.ai, NLP

• ARTIFICIAL INTELLIGENCE (AI), A TEXTBOOK - Jul 27, 2021.
  
  This book covers the broader field of AI, carefully balancing coverage between classical AI (logic or deductive reasoning) and modern AI (inductive learning and neural networks).

  AI, Book, Charu Aggarwal, Textbook

• How to Create Unbiased Machine Learning Models - Jul 16, 2021.
  
  In this post we discuss the concepts of bias and fairness in the Machine Learning world, and show how ML biases often reflect existing biases in society. Additionally, We discuss various methods for testing and enforcing fairness in ML models.

  AI, Bias, Ethics, Machine Learning, Trust

• AGI and the Future of Humanity - Jul 13, 2021.
  
  The possibilities for humanity's future very likely includes at least one in which computers will exceed human abilities. Artificial General Intelligence (AGI) does not necessarily have to be all doom and gloom. However, we must begin now to understand how this technical evolution might progress and consider what actions to take now to prepare.

  AGI, AI, Threat to Humanity

• GitHub Copilot: Your AI pair programmer – what is all the fuss about? - Jul 5, 2021.
  
  GitHub just released Copilot, a code completion tool on steroids dubbed your "AI pair programmer." Read more about it, and see what all the fuss is about.

  AI, Generative Models, GitHub, NLP, Programming

• Ethics, Fairness, and Bias in AI - Jun 30, 2021.
  
  As more AI-enhanced applications seep into our daily lives and expand their reach to larger swaths of populations around the world, we must clearly understand the vulnerabilities trained machine leaning models can exhibit based on the data used during development. Such issues can negatively impact select groups of people, so addressing the ethical decisions made by AI--possibly unknowingly--is important to the long-term fairness and success of this new technology.

  AI, Algorithms, Bias, Ethics

• An introduction to Explainable AI (XAI) and Explainable Boosting Machines (EBM) - Jun 16, 2021.
  
  Understanding why your AI-based models make the decisions they do is crucial for deploying practical solutions in the real-world. Here, we review some techniques in the field of Explainable AI (XAI), why explainability is important, example models of explainable AI using LIME and SHAP, and demonstrate how Explainable Boosting Machines (EBMs) can make explainability even easier.

  AI, Deep Learning, Explainability, Gradient Boosting, Interpretability, LIME, Machine Learning, SHAP

• The Essential Guide to Transformers, the Key to Modern SOTA AI - Jun 10, 2021.
  
  You likely know Transformers from their recent spate of success stories in natural language processing, computer vision, and other areas of artificial intelligence, but are familiar with all of the X-formers? More importantly, do you know the differences, and why you might use one over another?

  AI, Computer Vision, Deep Learning, NLP, Transformer

• The 7 Best Open Source AI Libraries You May Not Have Heard Of - Jun 9, 2021.
  
  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  AI, Hyperparameter, Julia, Open Source, Probability, Quantum Computing

• 5 Tips for Picking an Edge AI Platform - Jun 8, 2021.
  
  Edge Analytics isn’t just coding and tools. The different environment outside the datacenter or cloud means a purpose built platform is the best way to deliver consistent results. We discuss 5 different considerations for an edge platform to support your training and deployment.

  AI, Analytics, Platform

• AI Books you should read in 2021 - May 27, 2021.
  
  As of late, every year seems to be a "break-out" year for AI. So, it's time for you to get ready for the future in the age of automation. This collection of books will help you prepare for the many opportunities to come, many of which may not have yet been imagined.

  AGI, AI, Books, Business, China, Singularity

• Budgeting For Your AI Training Data: Consider These 3 Factors - May 26, 2021.
  
  Before you even plan to procure the data, one of the most important considerations in determining how much you should spend on your AI training data. In this article, we will give you insights to develop an effective budget for AI training data.

  AI, Data Preparation, Training Data

• What Makes AI Trustworthy? - May 11, 2021.
  
  This blog pertains to the importance of why AI needs to be trustworthy as well as what makes it trustworthy. AI predictions/suggestions should not just be taken at face value, but rather delved into at a deeper level. We need to understand how an AI system makes its predictions to put our trust in it. Trust should not be built on prediction accuracy alone.

  AI, Bias, Explainable AI, Trust

• FluDemic – using AI and Machine Learning to get ahead of disease - Apr 30, 2021.
  
  We are amidst a healthcare data explosion. AI/ML will be more vital than ever in the prevention and handling of future pandemics. Here, we walk you through the different facets of modeling infectious diseases, focusing on influenza and COVID-19.

  AI, COVID-19, Healthcare, Machine Learning

• Best Podcasts for Machine Learning - Apr 28, 2021.
  
  Podcasts, especially those featuring interviews, are great for learning about the subfields and tools of AI, as well as the rock stars and superheroes of the AI world. Here, we highlight some of the best podcasts today that are perfect for both those learning about machine learning and seasoned practitioners.

  AI, Data Science, Machine Learning, Podcast

• Getting Started with Reinforcement Learning - Apr 26, 2021.
  
  Demystifying some of the main concepts and terminologies associated with Reinforcement Learning and their association with other fields of AI.

  AI, Beginners, Reinforcement Learning

• What is Adversarial Neural Cryptography? - Apr 22, 2021.
  
  The novel approach combines GANs and cryptography in a single, powerful security method.

  Adversarial, AI, Cryptography, GANs, Security

• Interpretable Machine Learning: The Free eBook - Apr 9, 2021.
  
  Interested in learning more about interpretability in machine learning? Check out this free eBook to learn about the basics, simple interpretable models, and strategies for interpreting more complex black box models.

  AI, Explainability, Explainable AI, Free ebook, Interpretability

• Deepfakes are now mainstream. What’s next? - Apr 9, 2021.
  
  Deepfakes have become mainstream. Here we take a closer look at recent news about deepfakes, and what it all might mean for the future.

  AI, Deepfakes, Video

• DeepMind’s AlphaFold & the Protein Folding Problem - Mar 10, 2021.
  
  Recently, DeepMind's AlphaFold made impressive headway in the protein structure prediction problem. Read this for an overview and explanation.

  AI, Biology, DeepMind, Protein

• Is It Too Late to Learn AI? - Mar 9, 2021.
  
  Have you missed the train on learning AI?

  AI, Career Advice, Learning

• Adversarial Attacks on Explainable AI - Feb 9, 2021.
  
  Are explainability methods black-box themselves?

  Adversarial, AI, Explainability, Explainable AI

• 2011: DanNet triggers deep CNN revolution - Feb 4, 2021.
  
  In 2021, we are celebrating the 10-year anniversary of DanNet, which, in 2011, was the first pure deep convolutional neural network (CNN) to win computer vision contests. Read about its history here.

  AI, Convolutional Neural Networks, History, Jurgen Schmidhuber, Neural Networks

• Adversarial generation of extreme samples - Feb 2, 2021.
  
  In order to mitigate risks when modelling extreme events, it is vital to be able to generate a wide range of extreme, and realistic, scenarios. Researchers from the National University of Singapore and IIT Bombay have developed an approach to do just that.

  AI, GANs, Generative Adversarial Network, Generative Models, Sampling

• Deep Learning Pioneer Geoff Hinton on his Latest Research and the Future of AI - Jan 26, 2021.
  
  Geoff Hinton has lived at the outer reaches of machine learning research since an aborted attempt at a carpentry career a half century ago. He spoke to Craig Smith about his work In 2020 and what he sees on the horizon for AI.

  AI, Capsule Networks, Deep Learning, Geoff Hinton, Neural Networks, Research

• Going Beyond the Repo: GitHub for Career Growth in AI & Machine Learning - Jan 21, 2021.
  
  Many online tools and platforms exist to help you establish a clear and persuasive online profile for potential employers to review. Have you considered how your go-to online code repository could also help you land your next job?

  AI, Career Advice, GitHub, Machine Learning

• Top 10 Computer Vision Papers 2020 - Jan 8, 2021.
  
  The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

  AI, Computer Vision, Research

• 11 Industrial AI Trends that will Dominate the World in 2021 - Jan 7, 2021.
  
  These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

  2021 Predictions, AI, Trends

• MLOps: Model Monitoring 101 - Jan 6, 2021.
  
  Model monitoring using a model metric stack is essential to put a feedback loop from a deployed ML model back to the model building stage so that ML models can constantly improve themselves under different scenarios.

  AI, Data Science, DevOps, Machine Learning, MLOps, Modeling

• 2020: A Year Full of Amazing AI Papers — A Review - Dec 28, 2020.
  
  So much happened in the world during 2020 that it may have been easy to miss the great progress in the world of AI. To catch you up quickly, check out this curated list of the latest breakthroughs in AI by release date, along with a video explanation, link to an in-depth article, and code.

  AI, Research, Trends

• Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance - Dec 21, 2020.
  
  A practical deep dive on production monitoring architectures for machine learning at scale using real-time metrics, outlier detectors, drift detectors, metrics servers and explainers.

  AI, Deployment, Explainable AI, Machine Learning, Modeling, Outliers, Production, Python

• Navigate the road to Responsible AI - Dec 18, 2020.
  
  Deploying AI ethically and responsibly will involve cross-functional team collaboration, new tools and processes, and proper support from key stakeholders.

  AI, Algorithms, Ethics, Responsible AI

• Covid or just a Cough? AI for detecting COVID-19 from Cough Sounds - Dec 15, 2020.
  
  Increased capabilities in screening and early testing for a disease can significantly support quelling its spread and impact. Recent progress in developing deep learning AI models to classify cough sounds as a prescreening tool for COVID-19 has demonstrated promising early success. Cough-based diagnosis is non-invasive, cost-effective, scalable, and, if approved, could be a potential game-changer in our fight against COVID-19.

  AI, Audio, COVID-19, Deep Learning, Healthcare

• Facebook Open Sources ReBeL, a New Reinforcement Learning Agent - Dec 14, 2020.
  
  The new model tries to recreate the reinforcement learning and search methods used by AlphaZero in imperfect information scenarios.

  Agents, AI, Facebook, Open Source, Reinforcement Learning

• Artificial Intelligence in Modern Learning System : E-Learning - Dec 9, 2020.
  
  There has been a considerable shortage in the supply and demand of AI professionals. If you are looking to learn AI or learn machine learning, you can opt for free online courses offered by Great Learning.

  AI, Great Learning, Online Education

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology - Dec 9, 2020.
  
  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  2021 Predictions, AI, AutoML, Bill Schmarzo, Carla Gentry, COVID-19, Doug Laney, GPT-3, Kirk D. Borne, Machine Learning, MLOps, Predictions, Ronald van Loon, Tom Davenport, Trends

• AI registers: finally, a tool to increase transparency in AI/ML - Dec 9, 2020.
  
  Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why they are important and what you need to do, no tools have existed until now.

  AI, Bias, Ethics, Explainability, Helsinki, Machine Learning, Trust

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021 - Dec 3, 2020.
  
  2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.

  2021 Predictions, AI, Ajit Jaokar, Analytics, Brandon Rohrer, Daniel Tunkelang, Data Science, Deep Learning, Machine Learning, Pedro Domingos, Predictions, Research, Rosaria Silipo

• Roadmaps to becoming a Full-Stack AI Developer, Data Scientist, Machine Learning Engineer, and more - Dec 2, 2020.
  
  As the fields related to AI and Data Science expand, they are becoming complex with more options and specializations to consider. If you are beginning your journey toward becoming an expert in Artificial Intelligence, this roadmap will guide you to find your path along what to learn next while steering clear of the latest hype.

  Advice, AI, Career, Data Scientist, Developer, Learning Path, Machine Learning Engineer, Roadmap

• Remembering Pluribus: The Techniques that Facebook Used to Master World’s Most Difficult Poker Game - Dec 1, 2020.
  
  Pluribus used incredibly simple AI methods to set new records in six-player no-limit Texas Hold’em poker. How did it do it?

  AI, Facebook, Poker

• 15 Exciting AI Project Ideas for Beginners - Nov 23, 2020.
  
  There are many branches to AI to learn, but a project-based approach can keep things interesting. Here is a list of 15 such projects you can get started on implementing today.

  AI, Beginners, Great Learning

• AI and Automation meets BI - Nov 19, 2020.
  
  Organizations use a variety of BI tools to analyze structured data. These tools are used for ad-hoc analysis, and for dashboards and reports that are essential for decision making. In this post, we describe a new set of BI tools that continue this trend.

  AI, Automation, BI

• Compute Goes Brrr: Revisiting Sutton’s Bitter Lesson for AI - Nov 19, 2020.
  
  "It's just about having more compute." Wait, is that really all there is to AI? As Richard Sutton's 'bitter lesson' sinks in for more AI researchers, a debate has stirred that considers a potentially more subtle relationship between advancements in AI based on ever-more-clever algorithms and massively scaled computational power.

  AI, AlphaGo, Machine Learning, OpenAI, Richard Sutton, Scalability, Trends

• AI Is More Than a Model: Four Steps to Complete Workflow Success - Nov 17, 2020.
  
  The key element for success in practical AI implementation is uncovering any issues early on and knowing what aspects of the workflow to focus time and resources on for the best results—and it’s not always the most obvious steps.

  AI, Data Preparation, Data Science Process, Deployment, MathWorks, Simulation, Workflow

• Explaining the Explainable AI: A 2-Stage Approach - Oct 29, 2020.
  
  Understanding how to build AI models is one thing. Understanding why AI models provide the results they provide is another. Even more so, explaining any type of understanding of AI models to humans is yet another challenging layer that must be addressed if we are to develop a complete approach to Explainable AI.

  AI, Explainability, Explainable AI, XAI

• An Introduction to AI, updated - Oct 28, 2020.
  
  We provide an introduction to key concepts and methods in AI, covering Machine Learning and Deep Learning, with an updated extensive list that includes Narrow AI, Super Intelligence, and Classic Artificial Intelligence, as well as recent ideas of NeuroSymbolic AI, Neuroevolution, and Federated Learning.

  AGI, AI, Beginners, Deep Learning, Machine Learning

• Can AI Learn Human Values? - Oct 27, 2020.
  
  OpenAI believes that the path to safe AI requires social sciences.

  AI, Bias, Ethics, OpenAI

• The Ethics of AI - Oct 21, 2020.
  
  Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California about a very important subject - the ethics of AI.

  AI, Bias, Ethics, Interview

• Cartoon: Cloud Dating - Oct 17, 2020.
  
  New KDnuggets cartoon looks at how AI can transform love and romance.

  AI, Cartoon, Cloud Computing, Humor, Love, Online Dating

• AI in Healthcare: A review of innovative startups - Sep 30, 2020.
  
  The AI innovation in healthcare has been overwhelming with the Global Healthcare AI Market accounting for $0.95 billion in 2017, and is expected to reach $19.25 billion by 2026. What drives this vibrant growth?

  AI, Coronavirus, COVID-19, Healthcare, Startups

• How AI is Driving Innovation in Astronomy - Sep 29, 2020.
  
  In this blog, we look at a disruptive AI program - Morpheus - developed by Researchers at UC Santa Cruz that can analyze astronomical image data and classify galaxies and stars with surgical precision. If you're reading this with "starry" eyes, we bet we've got you hooked.

  AI, Deep Learning, Innovation, Science

• Artificial Intelligence for Precision Medicine and Better Healthcare - Sep 23, 2020.
  
  In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.

  AI, Health, Healthcare

• Can Neural Networks Show Imagination? DeepMind Thinks They Can - Sep 16, 2020.
  
  DeepMind has done some of the relevant work in the area of simulating imagination in deep learning systems.

  Agents, AI, Creativity, DeepMind, Neural Networks

• Online Certificates/Courses in AI, Data Science, Machine Learning from Top Universities - Sep 16, 2020.
  
  We present the online courses and certificates in AI, Data Science, Machine Learning, and related topics from the top 20 universities in the world.

  AI, Business Analytics, Certificate, Columbia, Coursera, Courses, edX, Harvard, Machine Learning, MIT, Online Education, Stanford, Toronto, UC Berkeley, UCLA

• AI Papers to Read in 2020 - Sep 10, 2020.
  
  Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.

  AI, Attention, Convolutional Neural Networks, Data Science, GANs, Neural Networks, Reformer, Research

• 8 AI/Machine Learning Projects To Make Your Portfolio Stand Out - Sep 9, 2020.
  
  If you are just starting down a path toward a career in Data Science, or you are already a seasoned practitioner, then keeping active to advance your experience through side projects is invaluable to take you to the next professional level. These eight interesting project ideas with source code and reference articles will jump start you to thinking outside of the box.

  AI, Career, Face Recognition, Machine Learning, Music, Natural Language Generation, Portfolio, Sentiment Analysis, Text Summarization

• Showcasing the Benefits of Software Optimizations for AI Workloads on Intel® Xeon® Scalable Platforms - Sep 1, 2020.
  
  The focus of this blog is to bring to light that continued software optimizations can boost performance not only for the latest platforms, but also for the current install base from prior generations. This means customers can continue to extract value from their current platform investments.

  AI, Intel, Optimization, Scalability

• A Curious Theory About the Consciousness Debate in AI - Aug 31, 2020.
  
  Dr. Michio Kaku has formulated a very interesting theory of consciousness that applies to AI systems.

  Agents, AI, DeepMind, OpenAI

• DeepMind’s Three Pillars for Building Robust Machine Learning Systems - Aug 24, 2020.
  
  Specification Testing, Robust Training and Formal Verification are three elements that the AI powerhouse believe hold the essence of robust machine learning models.

  AI, DeepMind, Machine Learning

• Rapid Python Model Deployment with FICO Xpress Insight - Aug 20, 2020.
  
  The biggest hurdle in the use of data to create business value, is indeed the ability to operationalize analytics throughout the organization. Xpress Insight is geared to reduce the burden on IT and address their critical requirements while empowering business users to take ownership of decisions and change management.

  AI, Deployment, FICO, Machine Learning, Optimization, Python

• Top Google AI, Machine Learning Tools for Everyone - Aug 18, 2020.
  
  Google is much more than a search company. Learn about all the tools they are developing to help turn your ideas into reality through Google AI.

  AI, AutoML, Bias, Data Science Platforms, Datasets, Google, Google Cloud, Google Colab, Machine Learning, TensorFlow

• Awesome Machine Learning and AI Courses - Jul 30, 2020.
  
  Check out this list of awesome, free machine learning and artificial intelligence courses with video lectures.

  AI, Courses, Machine Learning

• The Bitter Lesson of Machine Learning - Jul 15, 2020.
  
  Since that renowned conference at Dartmouth College in 1956, AI research has experienced many crests and troughs of progress through the years. From the many lessons learned during this time, some have needed to be re-learned -- repeatedly -- and the most important of which has also been the most difficult to accept by many researchers.

  AI, AlphaGo, Chess, Machine Learning, Reinforcement Learning, Richard Sutton, Scalability, Trends

• Scope and Impact of AI in Agriculture - Jul 6, 2020.
  
  The major advantage of focusing on AI-based methods is that they tackle each of the challenges faced by farmers from seed sowing to harvesting of crops separately and rather than generalising, provide customised solutions to a specific problem.

  Agriculture, AI

• Tools to Spot Deepfakes and AI-Generated Text - Jun 23, 2020.
  
  The technologies that generate deepfake content is at the forefront of manipulating humans. While the research developing these algorithms is fascinating and will lead to powerful tools that enhance the way people create and work, in the wrong hands, these same tools drive misinformation at a scale we can't yet imagine. Stopping these bad actors using awesome tools is in your hands.

  AI, Deep Learning, Deepfakes, Natural Language Generation

• Bias in AI: A Primer - Jun 23, 2020.
  
  Those interested in studying AI bias, but who lack a starting point, would do well to check out this introductory set of slides and the accompanying talk on the subject from Google researcher Margaret Mitchell.

  AI, Bias, Computer Vision, NLP

• What is emotion AI and why should you care? - Jun 19, 2020.
  
  What is emotion AI, why is it relevant, and what do you need to know about it?

  AI, Chatbot, Emotion, NLP, Sentiment Analysis

• How to make AI/Machine Learning models resilient during COVID-19 crisis - Jun 11, 2020.
  
  COVID-19-driven concept shift has created concern over the usage of AI/ML to continue to drive business value following cases of inaccurate outputs and misleading results from a variety of fields. Data Science teams must invest effort in post-model tracking and management as well as deploy an agility in the AI/ML process to curb problems related to concept shift.

  AI, Coronavirus, COVID-19, Machine Learning, Model Drift, Modeling

• GPT-3, a giant step for Deep Learning and NLP? - Jun 9, 2020.
  
  Recently, OpenAI announced a new successor to their language model, GPT-3, that is now the largest model trained so far with 175 billion parameters. Training a language model this large has its merits and limitations, so this article covers some of its most interesting and important aspects.

  AI, Deep Learning, GPT-2, GPT-3, NLP, OpenAI

• Why Do AI Systems Need Human Intervention to Work Well? - Jun 5, 2020.
  
  All is not well with artificial intelligence-based systems during the coronavirus pandemic. No, the virus does not impact AI – however, it does impact humans, without whom AI and ML systems cannot function properly. Surprised?

  AI, Coronavirus, Humans, Machine Learning, Watson

• Upcoming Webinars and Online Events in AI, Data Science, Machine Learning: June - Jun 4, 2020.
  
  Here are some interesting upcoming webinar, online events and virtual conferences in in AI, Data Science, and Machine Learning.

  AI, Machine Learning, Meetings, Online Education, Virtual Event, Webinar

• 5 Essential Papers on AI Training Data - Jun 4, 2020.
  
  Data pre-processing is not only the largest time sink for most Data Scientists, but it is also the most crucial aspect of the work. Learn more about training data and data processing tasks from 5 leading academic papers.

  AI, Data Preparation, Data Preprocessing, Research, Training Data

• Privacy-preserving AI – Why do we need it? - May 29, 2020.
  
  Various data privacy threats can result from the usual process of building and constructing data and AI-based systems. Avoiding these challenges can be supported by utilizing state-of-the-art technologies in the domain of privacy-preserving AI.

  AI, Differential Privacy, Privacy

• Are Tera Operations Per Second (TOPS) Just hype? Or Dark AI Silicon in Disguise? - May 27, 2020.
  
  This article explains why TOPS isn’t as accurate a gauge as many people think, and discusses other criteria that should be considered when evaluating a solution to a real application.

  AI, Deep Learning, Hype, Neural Networks

• Deepmind’s Gaming Streak: The Rise of AI Dominance - May 27, 2020.
  
  There is still a long way to go before machine agents match overall human gaming prowess, but Deepmind’s gaming research focus has shown a clear progression of substantial progress.

  AI, AlphaGo, Deep Learning, DeepMind, Games, Reinforcement Learning

• 13 must-read papers from AI experts - May 20, 2020.
  
  What research articles do top AI experts in the field recommend? Find out which ones and why, then be sure to add each to your reading to do list.

  AI, Andrew Ng, Hyperparameter, Kirk D. Borne, LSTM, Research

• AI Channels to Follow - May 15, 2020.
  
  AI is certainly playing an important role in our global fight against the novel coronavirus. These YouTube channels are recommended to keep you covered with the latest advancements in the field and how it is impacting our world.

  AI, Online Education, Podcast, Youtube

• AI and Machine Learning for Healthcare - May 14, 2020.
  
  Traditional business and technology sectors are not the only fields being impacted by AI. Healthcare is a field that is thought to be highly suitable for the applications of AI tools and techniques.

  AI, Coronavirus, COVID-19, Healthcare, Machine Learning

• DeepMind’s Suggestions for Learning #AtHomeWithAI - May 13, 2020.
  
  DeepMind has been sharing resources for learning AI at home on their Twitter account. Check out a few of these suggestions here, and keep your eye on the #AtHomeWithAI hashtag for more.

  AI, Courses, Deep Learning, DeepMind, Neural Networks, Reinforcement Learning

• Introducing Brain Simulator II: A New Platform for AGI Experimentation - Apr 29, 2020.
  
  A growing consensus of researchers contend that new algorithms are needed to transform narrow AI to AGI. Brain Simulator II is free software for new algorithm development targeted at AGI that you can experiment with and participate in its development.

  AGI, AI, Brain, Neural Networks

• How AI Can Help Manage Infectious Diseases - Apr 28, 2020.
  
  With the capability to analyze huge amounts of data, including medical information, human behavior patterns, and environmental conditions, big data tools can be invaluable in dealing with deadly outbreaks.

  AI, Coronavirus, COVID-19, Healthcare

• 3 Reasons Why We Are Far From Achieving Artificial General Intelligence - Apr 23, 2020.
  
  How far we are from achieving Artificial General Intelligence? We answer this through the study of three limitations of current machine learning.

  AGI, AI, Machine Learning

• Fighting Coronavirus With AI: Improving Testing with Deep Learning and Computer Vision - Apr 22, 2020.
  
  This post will cover how testing is done for the coronavirus, why it's important in battling the pandemic, and how deep learning tools for medical imaging can help us improve the quality of COVID-19 testing.

  AI, Computer Vision, Coronavirus, COVID-19, Deep Learning, Healthcare

• 4 Steps to ensure your AI/Machine Learning system survives COVID-19 - Apr 17, 2020.
  
  Many AI models rely on historical data to make predictions on future behavior. So, what happens when consumer behavior across the planet makes a 180 degree flip? Companies are quickly seeing less value from some AI systems as training data is no longer relevant when user behaviors and preferences change so drastically. Those who are flexible can make it through this crisis in data, and these four techniques will help you stay in front of the competition.

  AI, Coronavirus, COVID-19, Deployment, Machine Learning

• State of the Machine Learning and AI Industry - Apr 16, 2020.
  
  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  AI, AutoML, Data Science Platform, Industry, Machine Learning

• DeepMind Unveils Agent57, the First AI Agents that Outperforms Human Benchmarks in 57 Atari Games - Apr 13, 2020.
  
  The new reinforcement learning agent innovates over previous architectures achieving one of the most important milestones in the AI space.

  Agents, AI, Atari, DeepMind, Reinforcement Learning

• Successful Use Cases of Artificial Intelligence for Businesses - Apr 10, 2020.
  
  AI is contributing to the businesses in a huge way. For specifics, check out these successful use cases of AI for business.

  AI, Business, Use Cases

• 10 Must-read Machine Learning Articles (March 2020) - Apr 9, 2020.
  
  This list will feature some of the recent work and discoveries happening in machine learning, as well as guides and resources for both beginner and intermediate data scientists.

  AI, API, Cloud, Data Analytics, Datasets, fast.ai, Machine Learning, Neural Networks, Social Media

• Cartoon: AI understanding of Coronavirus - Apr 1, 2020.
  
  Here is a cartoon to distract you, showing a new level of understanding AI could reach.

  AI, Cartoon, Coronavirus, Humor

• Top AI Resources – Directory for Remote Learning - Mar 24, 2020.
  
  Whether you are just learning Data Science, a current professional, or just interested, it's crucial to keep the mind stimulated and stay current. With conferences, schools, and travel largely canceled because of #coronavirus, these remote resources will help you stay engaged.

  AI, Blogs, Courses, Online Education, Podcast, RE.WORK, Resources, Webinar, White Paper, Youtube

• Resources for Women in AI, Data Science, and Machine Learning - Mar 8, 2020.
  
  For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.

  AI, Data Science, Diversity, Machine Learning, Women

• 20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2) - Mar 2, 2020.
  
  We explain important AI, ML, Data Science terms you should know in 2020, including Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning, and Transformer Architecture.

  AI, Data Science, Explainability, Geospatial, GPT-2, Key Terms, Machine Learning, Natural Language Generation, Reinforcement Learning, Transformer

• Prepare for a Long Battle against Deepfakes - Feb 21, 2020.
  
  While deepfakes threaten to destroy our perception of reality, the tech giants are throwing down the gauntlet and working to enhance the state of the art in combating doctored videos and images.

  AI, Crime, Deepfakes, Facebook, Google, Politics, Trends, Twitter

• How Kubeflow Can Add AI to Your Kubernetes Deployments - Feb 21, 2020.
  
  As Kubernetes is capable of working with other solutions, it is possible to integrate it with a collection of tools that can almost fully automate your development pipeline. Some of those third-party tools even allow you to integrate AI into Kubernetes. One such tool you can integrate with Kubernetes is Kubeflow. Read more about it here.

  AI, Deployment, Kubernetes