Researchers have developed a new explainable artificial intelligence (AI) model to reduce bias and enhance trust and accuracy in machine learning-generated decision-making and knowledge organization.
As artificial intelligence revolutionizes the business world, a more subtle but equally powerful force is emerging: intuitive decision-making. Executives increasingly recognize that combining rational ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Emergent large language models (LLMs) such ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how ...
As a cofounder at Innowise Group with 20-year experience in IT, Pavel loves helping businesses grow through data analytics. Data analytics has become a common thing for both large-scale corporations ...
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Noam Brown, a leading research scientist at ...
Scaling a business hinges on streamlined decision-making. Leaders must be agile, making accurate and timely decisions to ensure success. Streamlined decision-making enhances business agility, enabling ...
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