Deep learning systems are increasingly integrated into a vast array of critical applications ranging from autonomous vehicles to medical diagnostics, necessitating rigorous testing and evaluation ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...