Conventional computing platforms are inefficient at handling complex machine learning algorithms, which has limited the use of artificial intelligence (AI) in business applications. With support from Harvard's Physical Sciences & Engineering Accelerator, researchers in the labs of David Brooks and Gu-Yeon Wei are developing proprietary hardware to accelerate the pace at which machine learning algorithms can be processed. The product is cloud-based software to aid users in performing AI and machine learning tasks, at orders-of-magnitude faster speeds than existing commodity computation fabric. An emerging startup called Stochastic aims to offer an acceleration-as-a-service solution for businesses utilizing AI at enterprise scale.