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Advanced RAG patterns on Amazon SageMaker

Today, customers of all industries—whether it’s financial services, healthcare and life sciences, travel and hospitality, media and entertainment, telecommunications, software as a service (SaaS), and even proprietary model providers—are using large language models (LLMs) to build applications like question and answering (QnA) chatbots, search engines, and knowledge bases. These generative AI applications are not only …

Greater Scope: Doctors Get Inside Look at Gut Health With AI-Powered Endoscopy

From humble beginnings as a university spinoff to an acquisition by the leading global medtech company in its field, Odin Vision has been on an accelerated journey since its founding less than five years ago. An alum of the NVIDIA Inception program for cutting-edge startups, Odin Vision builds cloud-connected AI software that helps clinicians detect …

Revolutionary biomimetic olfactory chips to enable advanced gas sensing and odor detection

A research team has addressed the long-standing challenge of creating artificial olfactory sensors with arrays of diverse high-performance gas sensors. Their newly developed biomimetic olfactory chips (BOC) are able to integrate nanotube sensor arrays on nanoporous substrates with up to 10,000 individually addressable gas sensors per chip, a configuration that is similar to how olfaction …

Hyperscale vs. colocation: Go big or go rent?

Here’s the situation: You’re the CIO or similarly empowered representative of an organization. Different voices within your business are calling attention to the awesome scalability and power of hyperscale computing, which you’ve also noticed with increasing interest. Now the word comes down from on high that you’ve been tasked with designing and implementing your company’s …

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Achieve DevOps maturity with BMC AMI zAdviser Enterprise and Amazon Bedrock

In software engineering, there is a direct correlation between team performance and building robust, stable applications. The data community aims to adopt the rigorous engineering principles commonly used in software development into their own practices, which includes systematic approaches to design, development, testing, and maintenance. This requires carefully combining applications and metrics to provide complete …