AI technologies
Forward-looking enterprises have to be aware of emerging artificial intelligence technologies. Get the latest on AI technologies such as NLP, bots, machine learning, deep learning and open source AI tools.
New & Notable
AI technologies News
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November 20, 2020
20
Nov'20
Google AI art tool turns 2D creatures into 3D models
These 3D chimera creatures are brought to you by Google's Chimera Painter, an AI-powered tool that turns 2D images into 3D creature models.
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November 17, 2020
17
Nov'20
UiPath platform update makes it easier to deploy smarter bots
A new platform upgrade for UiPath makes it easier for users to develop and use robots at scale, as well as makes the bots more resilient to UI changes.
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November 17, 2020
17
Nov'20
DataRobot pre-IPO funding raises company valuation to $2.7B
Amid the pandemic, Boston-based AI vendor DataRobot raised $270 million in a pre-IPO fundraising round. The company is likely to file for an IPO.
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November 06, 2020
06
Nov'20
AI might not have rights, but it could pay taxes
Tax, liability and patent laws can't handle AI systems, which have grown steadily smarter. As AI becomes ubiquitous, the legal system may need to change to accommodate it.
AI technologies Get Started
Bring yourself up to speed with our introductory content
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A basic design pattern for image recognition
Learn how a design pattern based on convolutional neural networks can be adapted to create a visual graphics generator model for image recognition. Continue Reading
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Try this cybersecurity quiz, test your cyberdefense smarts
Based on the November 2020 issue of Information Security magazine, this 10-question quiz lets you check your comprehensive knowledge of current security issues and earn CPE credit too. Continue Reading
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General AI vs. narrow AI comes down to adaptability
AI today has limited and specific applications, but the continual growth of the technology may just lead to the replication of human intelligence through general AI. Continue Reading
Evaluate AI technologies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Why AI adoption in the enterprise continues to lag
In this episode of 'Today I Learned About Data,' we discuss AI adoption in the enterprise, and it's been slower than many have predicted. Continue Reading
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8 examples of AI personalization across industries
Through AI content personalization, organizations can build unique profiles of users and customers and tailor their products, advertisements and services to better fit them. Continue Reading
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Bayesian networks applications are fueling enterprise support
Cloud-based infrastructure has opened the door for enterprises to take advantage of the versatile predictive capability of Bayesian networks technology. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
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How to avoid overfitting in machine learning models
Overfitting remains a common model error, but data scientists can combat the problem through automated machine learning, improving AI literacy and creating test data sets. Continue Reading
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How 5G and artificial intelligence may influence each other
5G and AI can be combined to improve the network speed, responsiveness and efficiencies of organizations in the enterprise, but the former needs more time to mature. Continue Reading
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How automated content tagging improves findability
Companies that use AI to automatically tag their metadata can improve findability of content across the entire organization. AI tagging vendors can help businesses get started. Continue Reading
Problem Solve AI technologies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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How to troubleshoot 8 common autoencoder limitations
Autoencoders' ability for automated feature extraction, data preparation, and denoising are complicated by their common problems and limitations in usage. Continue Reading
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Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability is key to the continued building of trust with consumers and the continued success of the technology. Continue Reading
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Understanding how deep learning black box training creates bias
Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading