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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February 26, 2021
26
Feb'21
Steel producer reduces costs using AI in manufacturing
The largest long steel producer in Latin America used data and machine learning predictions to save money, while maintaining the same level of production quality.
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February 19, 2021
19
Feb'21
Nvidia acquisition of Arm faces industry, regulatory hurdles
Nvidia's acquisition of Arm Ltd. could change the chipmaker landscape and is reportedly raising industry and regulatory eyebrows.
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February 19, 2021
19
Feb'21
CTO on the need for AI ethics and diversity
A CTO talks about the importance of diverse data sets when creating AI models and how a lack of diversity can create bias in systems.
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February 19, 2021
19
Feb'21
Nvidia opens paid, instructor-led AI workshops to the public
While many technology vendors offer online courses on how to use their AI products, it still might not be enough to educate the global workforce.
AI technologies Get Started
Bring yourself up to speed with our introductory content
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5 examples of effective NLP in customer service
Through use cases such as chatbots, recommendation systems and customer relationship management, NLP and AI are playing an important role in enterprise customer service. Continue Reading
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Training GANs relies on calibrating 2 unstable neural networks
Understanding the complexities and theory of dueling neural networks can carve out a path to successful GAN training. Continue Reading
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predictive modeling
Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results. Continue Reading
Evaluate AI technologies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Businesses pivot back to AI adoption after year of slow growth
AI adoption has taken a step back when it comes to enterprise IT spending priority, but it remains a steady investment for enterprises across industries. Continue Reading
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Artificial general intelligence in business holds promise
While AGI in business remains unattainable today, truly intelligent systems, chatbots and predictive analytics are potential use cases enterprises should keep their eyes on. Continue Reading
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Artificial general intelligence examples remain out of reach
Artificial general intelligence remains largely an aspiration goal of researchers, but as technologies advance, so too does the dream become more realistic. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
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Speech to text for deaf users aids in accessibility
For the millions of people who are hard of hearing, speech-to-text advancements have improved their ability to complete daily tasks -- but the tech still has a long way to go. Continue Reading
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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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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
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