MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

The need for efficiencies after mergers and acquisitions affects all IT operations. But data storage also raises issues around security, privacy and the reuse of data.