As AI moves from a ‘nice to have’ to a ‘must have,’ Life Sciences companies should build a strategy to leverage AI, then put building blocks in place to scale its use, incl. the right IT infrastructure, talent and skill sets, ecosystems and alliances to access or build AI capabilities. – Deloitte

Scaling up AI across the life sciences value chain: Enhancing R&D, creating efficiencies, and increasing impact, November 2020

With the rapid expansion of applications that can be characterized by dataflow processing, such as natural-language processing and recommendation engines, the performance and efficiency challenges of traditional, instruction set architectures have become apparent.

To address this and enable the next generation of scientific and machine-learning applications, SambaNova Systems has developed the Reconfigurable Dataflow ArchitectureTM, a unique vertically integrated platform that is optimized from algorithm to silicon. Three key long-term trends infused SambaNova’s effort to develop this new accelerated computing architecture.