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Artificial Neural Networks: An Overview

Neural networks and deep learning currently provide some of the most reliable image recognition, speech recognition, and natural language processing solutions available. However, it wasn’t always that way. One of the earliest and simplest teaching philosophies for artificial intelligence was marginally successful. It suggested that loading the maximum amount of information into a powerful computer […]

It’s Time for Public Sector Standards On AI

Click here to learn more about Golnar Pooya. The benefits offered by artificial intelligence (AI) in the public sector are nothing short of revolutionary. Algorithms powered by machine learning have the unique ability to identify tax-evasion patterns, sift through health data to prioritize cases, and predict the spread of infectious diseases much faster than humans. […]

Automation and AI: Challenges and Opportunities

Businesses across the globe are fascinated with the idea of AI and automation because this advanced technology promises operational efficiency, enhanced processes, and substantial cost savings. However, AI and its allied technologies have also created uncertainties, confusion, and doubts about the human capability for adopting, deploying, and executing these magical systems in actual business situations […]

AI and Human Operators Combine to Train Robots

Click to learn more about author Samuel Bocetta. Ever since the first crude cinematic robot first arrived on the scene in the 1927 movie Metropolis, humans have been fixated on the fear that they would come to rue the day artificial intelligence (AI) was summoned into existence and that, eventually, the masters would become slaves […]

Ensemble Models: Bagging and Boosting

Click to learn more about author Rosaria Silipo. Ensemble models combine multiple learning algorithms to improve the predictive performance of each algorithm alone. There are two main strategies to ensemble models — bagging and boosting — and many examples of predefined ensemble algorithms. Bootstrap aggregation, or bagging, is an ensemble meta-learning technique that trains many […]

Applause Re-Invents AI Testing With New Solution That Detects Bias

According to a new press release, “Applause, the worldwide leader in digital quality and crowdsourced testing, today announced its new solution for AI training and testing. The scalable solution trains algorithms to learn quickly and tests the output to ensure those algorithms are processing and responding appropriately. The solution leverages Applause’s global community of vetted […]