A new study underscores the potential of AI and accelerated computing to deliver energy efficiency and combat climate change, efforts…
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance,…
Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows.…
Posted by Rajat Sen and Yichen Zhou, Google Research Time-series forecasting is ubiquitous in various domains, such as retail, finance,…
One of the most useful application patterns for generative AI workloads is Retrieval Augmented Generation (RAG). In the RAG pattern,…
IntroductionIf you're looking to transform the way you interact with unstructured data, you've come to the right place! In this…
This paper introduces AIM, a collection of vision models pre-trained with an autoregressive objective. These models are inspired by their…
Buy a domain name. Associate that domain with a DNS server. Done. When you’re spinning up a presence on the…
Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are…
Take a leap into learning this February, and make the most of the extra day! We’ve created a list of…