Artificial Intelligence
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Machine learning algorithms explained
Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem
Review: UiPath aces robotic process automation
UiPath Enterprise RPA Platform is a remarkably complete toolkit for process automation that is also remarkably easy to use
5 takeaways on scaling machine learning
Twitter and Facebook can teach us a lot about effective artificial intelligence
AI systems are biased, and cloud availability makes it worse
IT will have to be on the lookout for hidden biases and take action to minimize the harm
How to model time-series anomaly detection for IoT
Machines fail. By creating a time-series prediction model from historical sensor data, you can know when that failure is coming
AI cloudops is coming, whether you like it or not
New cloud monitoring and cloud management tools are becoming self-learning, with both pros and cons today
The best machine learning and deep learning libraries
Why TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
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To be, and not to be—is that the answer?
If you believe much of the current reporting on quantum computing, it's around the corner. Here's how quantum computing works and how realistic it is that it will be available any time soon
AI, machine learning, and deep learning: Everything you need to know
All about the business benefits, technology frameworks and models, and application of artificial intelligence for better business outcomes
5 reasons data science belongs in the cloud
Why laptop-hugging data scientists and server-hugging machine learning practitioners should consider letting go
How to use deep learning to write Shakespeare
LSTM recurrent neural networks can be trained to generate free text. Let’s see how well AI can imitate the Bard
IBM preps Watson AI services to run on Kubernetes
IBM Watson services arrive in versions that can run on the public cloud or on privately hosted container infrastructure
Reinforcement learning comes into AI’s mainstream
Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream
Review: MXNet deep learning shines with Gluon
With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models
Explainable AI: Peering inside the deep learning black box
Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help
How the Turing GPU will revolutionize immersive AI
AI, machine learning, and image manipulation have a lot in common, so it’s no surprise that GPUs can do both, which will bring us amazingly immersive apps
The future is cloudy, with a chance of success
True cloud computing metaphors: not every cloud is a rain cloud, and too much rain is disastrous for the unprepared
Bossies 2018: The Best of Open Source Software Awards
InfoWorld recognizes the leading open source projects for software development, cloud computing, big data, and machine learning
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