Intel previews AI advances in software testing, sequence models, and explainability

This week marks the kickoff of Neural Information Processing Systems (NeurIPS), one of the largest AI and machine learning conferences globally. NeurIPS 2017 and NeuIPS 2018 received 3,240 and 4,854 research paper submissions, respectively, and this year's event -- which takes place from December 8 to December 14 in Vancouver -- is on track to handily break those records. Researchers from Intel will be in attendance, as will those from tech giants like Google, Facebook, Apple, Uber, Alibaba, Baidu, and countless others. For its part, the Santa Clara, California-based chipmaker said it intends to host three dozen conference, workshop, and spotlight sessions covering topics like deep equilibrium models, imitation learning, machine programming, and more. "Intel is making significant strides in advancing and scaling neural network technologies to handle increasingly complex and dynamic workloads -- from tackling challenges with memory to researching new adaptive learning techniques," wrote Dr. Rich Uhlig, senior fellow and managing director of Intel Labs, in a blog post.