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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.
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.
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.
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.

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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
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
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

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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
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
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

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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
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
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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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
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
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