The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Data/: Contains the dataset used for training the model. engine.csv: Contains engine performance data.; models/: Includes the trained model (model.pkl) used for inference app/: Streamlit app for user ...

Today, TD Bank Group ("TD" or the "Bank") announced the launch of TD AI Prism, a new industry-leading AI foundation model. This cutting-edge model is set to redefine how the Bank will be able to ...

Data like this seven-day crime map from Oakland, Calif., feeds predictive policing AIs. City of Oakland via CrimeMapping.com The 2002 sci-fi thriller ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions ...

AI that anticipates where crimes are likely to occur and who might commit them has a troubling track record. Democratic accountability could shine a light on the technology and how it’s used.

Predictive AI is already commonplace in entry-level hiring, but firms are envisioning additional ways to utilize a growing body of data on lawyer behavior and performance.