Blog

The DeAngelis Review

Exploring Reason, Technology, and Humanity

5 min read

When Making Decisions, What Should You Trust: AI or Your Gut?

This article explores the concept of intuition and its role in decision-making. It argues that AI can be a valuable tool to augment human intuition and improve decision-making. The article also discusses the different ways AI can be used to assist decision-making, such as augmented intelligence and artificial intuition. Finally, it highlights that while AI can automate some decisions, human input is still important for complex decision-making.

Making Machine Learning Useful for Your Business, Part Two

This article discusses challenges of implementing machine learning for businesses. These include data quality, complexity vs. accuracy trade-offs, bias, and maintaining models over time. Companies need to address these challenges to reap the benefits of machine learning.

Making Machine Learning Useful for Your Business, Part One

This article explores the difference between AI and machine learning. Machine learning is a powerful tool for businesses, but it shouldn't be a fad. Businesses should focus on how machine learning can solve real problems like sales forecasting and marketing. Part 2 will discuss the challenges of implementing machine learning.

Sharing Tribal Knowledge

This article discusses tribal knowledge, the experience employees gain over time. Companies lose this knowledge when employees retire. Capturing this knowledge through videos, cognitive technologies, and knowledge-sharing programs helps retain valuable information.

Quantum Computing: The Adults are Arguing

Inspired by Richard Feynman, Quantum computers could solve problems impossible for regular computers. Google claims to have achieved "quantum supremacy" with their machine. IBM disputes the claim, saying a classical computer could do it too. Regardless, Google's achievement is a big step towards real-world quantum computing.

In Quantum Computing, Silence is Golden

This article discusses challenges and potential breakthroughs in quantum computing. The main obstacle is qubit fragility, which causes errors. Researchers are looking into ways to reduce noise and improve coherence time. Other promising areas include hybrid qubit devices, qutrits, and topological superconductivity.