IBM Travel Manager is an industry-first AI platform to fundamentally change how companies manage and optimize their travel programs.
AI approaches for parsing and understanding text require clean input, which in turn implies a necessary amount of pre-processing of raw data.
This feat opens the door to using the nucleus as way to sense and control magnetism at the atomic scale.
IBM researchers propose guidelines for novel analog memory devices to enable fast, energy-efficient and accurate AI hardware accelerators.
A novel approach for AI dictionary expansion employs a lightweight neural language model coupled with tight human-in-the-loop supervision.
An expert-in-the-loop to working closely with AI technologies can save experts up to 80 percent of their time on time-intensive tasks.
At MICCAI 2018, IBM researchers present their latest findings in applying deep learning to overcome some technical challenges in medical image analysis.
A new release of the Adversarial Robustness Toolbox provides a method for defending against poisoning and "backdoor" attacks in machine learning models.