MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.
This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...
Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" ...
Since its theoretical concept in the 1950s, artificial intelligence (AI) paved the way for businesses to experience enhanced opportunities and productivity through various techniques, especially ...
While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...
Things should keep getting sweeter for the insurance disruptor.
AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...
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Learning from the global AI race: Why we must lead on AI governance in Africa

By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act decisively today will shape the direction of global innovation for decades to come.