Vyasa CEO & Founder, Dr. Christopher Bouton, shares advancements from participation in the SAP.iO Health Science startup program.
Vyasa, NVIDIA & CDI explain how to eliminate the challenges posed by data silos through a combination of deep learning and data fabric architectures.
See how advancements in deep learning and image analytics are changing the way healthcare professionals manage patient populations.
In part 2 of our series, we explore the 5 advancements in deep learning improving document research and insight extraction.
Press Release: Vyasa Joins NVIDIA Partner Network to Extend Availability of its GPU-Accelerated Applications Globally
Vyasa announced today that it has joined the NVIDIA Partner Network (NPN) as a Solution Advisor (SA) – Consultant partner. Inclusion in the program enhances the availability of Vyasa’s deep learning applications to NVIDIA’s customers and partners.
Vyasa’s Dr. Christopher Bouton, joins IEEE Spectrum’s Fixing the Future podcast to discuss the data challenges facing healthcare and the life sciences.
Users can now integrate Vyasa’s suite of deep learning applications directly within their SAP environment.
Preventative screenings were deprioritized during the COVID-19 pandemic. Deep learning can help healthcare professionals get patients back on track.
Some of our most valuable data is often the hardest to identify. Advancements in deep learning are changing that for the better.
Extracting data from unstructured content such as PDFs, PowerPoint presentations or medical imagery is a challenge. Advancements in deep learning are presenting new opportunities for identifying novel data relationships to fuel smarter insights.