Artificial Intelligence
Artificial Intelligence | News, how-tos, features, reviews, and videos
What surgery taught me about the cloud
In the process of fixing my shoulder, I discovered some lessons for all enterprises regarding the effective integration of information
AI gets real (sort of) in the enterprise
Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business
Artificial intelligence today: What’s hype and what’s real?
Two decades into the AI revolution, deep learning is becoming a standard part of the analytics toolkit. Here’s what it means
Inside AI ebook: Artificial intelligence in the enterprise
AI is having a profound effect on enterprises. But where do you begin? A variety of tools and techniques can help you get started on your own implementation. Download our 17-page guide on real-world artificial intelligence.
Semi-supervised learning explained
Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always
IBM Trusted AI toolkits for Python combat AI bias
IBM has released Python toolkits for identifying and mitigating against bias in training data and machine learning models
Deep learning frameworks: PyTorch vs. TensorFlow
If you actually need a deep learning model, PyTorch and TensorFlow are both good choices
video
AI and your smartphone: How AI is transforming mobile apps
Computerworld’s Ken Mingis and Michael Simon from PCWorld and Macworld talk about how more mobile apps use artificial intelligence and how it improves features.
Get started with AI using ML.Net and Model Builder
Microsoft’s .Net machine learning tooling makes it easy to add AI to your code
5 machine learning tools to ease software development
AI-driven development tools that provide code auto-completion, code vulnerability detection, and even cutting-edge code generation
The moral side of cloud-based data science
Armed with big data, machine learning, predictive analytics, and unlimited data access, how do we limit the potential for harm?
The best machine learning and deep learning libraries
TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models
Ease into AI with Microsoft Flow
No-code connectors to Azure Cognitive Services make it easy to get started with artificial intelligence
Supervised learning explained
Supervised learning turns labeled training data into a tuned predictive model
What is TensorFlow? The machine learning library explained
TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier
Tips For building an effective AI ecosystem
As AI becomes more prevalent, organizations must make it easier for developers to unlock AI’s potential
Reinforcement learning explained
Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently
Natural language processing explained
Deep learning has improved machine translation and other NLP tasks by leaps and bounds
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