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Open vs. closed models: AI leaders from GM, Zoom and IBM weigh trade-offs for enterprise use
Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.
Open, transparent AI models will create more innovation and trust
Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.
Hybrid model reveals people act less rationally in complex games, more predictably in simple ones
Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...
Unite.AI2d
AI Agents vs Large Models: Why Team-Based Approach Works Better Than Bigger Systems
For many years, the AI industry has focused on building larger language models (LLMs). This strategy delivered positive ...
IEEE4d
Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey - IEEE Xplore
Maternal mortality is a major public health concern worldwide. It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine ...
IEEE6d
Comparative Analysis of Machine Learning, Deep Learning, Statistical Models on Credit Risk Prediction - IEEE Xplore
This study uses a dataset with several borrower characteristics to forecast credit risk using Machine learning (ML) and Deep Learning (DL) techniques in addition to statistical methods. With a 98.1% ...