This post originally appeared on the IBM Research blog. At IBM we’re committed to an exploratory science agenda, working with companies to advance innovation research and learning within their ecosystem. Today, IBM is embarking on a multi-year, collaborative effort with Wells Fargo focused on research and learning that is intended…

Rapid advancements in the field of artificial intelligence (AI) are uniquely poised to transform entire occupations and industries, changing the way work will be done in the future. The advent of AI will very likely shift the demand for labor skills. …

While there is a growing body of work studying the theoretical properties of neural networks, our understanding of the macroscopic behavior of deep learning still leaves much to be desired. Questions persist around what drives the evolution of internal representations during training, the properties of learned representations, and how fully…

Many human activities require collaboration, including soccer, medical treatment and performing arts. The high level goal of our research is to develop intelligent automated agents that can perform these tasks as well as humans. These tasks in general can be formulated as multiagent reinforcement learning (MARL) problems that involve sequential…

Introduction In this post, we briefly review a recent line of research on evaluating the robustness of neural network and its research progress, with a focus on the joint work accomplished by the MIT-IBM team. We start by giving an overview of this research stream. We then introduce three of our…

Teaching AI to generalize from one domain to another would allow it to perform better and learn faster, which would be a huge leap forward for advancing AI. Deep neural networks, trained with a large amount of labeled data, can fail to generalize well when tested with examples from a…

Drug discovery is a long and tedious process; it may take years of development and exploration by expert chemists and pharmacologists. In drug discovery, de novo design (i.e., designing an entirely new molecule from scratch) plays a crucial role. …

749 attendees, 85 companies, 27 universities, 17 events — all packed into 1 amazing week of celebration, workshops, open collaboration, and fun. This was the scene at the inaugural AI Research Week, hosted by the MIT-IBM Watson AI Lab, in Cambridge, MA, October 1–5, 2018. …

IBM Accessibility Research has recently been exploring the topic of fair treatment for people with disabilities in AI systems. Such systems must be carefully designed to avoid discrimination against marginalized groups. Are people with disabilities at risk of being disenfranchised by AI systems, and how can we change this? To…