Remove category industries healthcare-and-life-sciences
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Vivek Desai, Chief Technology Officer, North America at RLDatix – Interview Series

Unite.AI

Vivek Desai is the Chief Technology Officer of North America at RLDatix , a connected healthcare operations software and services company. RLDatix is on a mission to change healthcare. What initially attracted you to computer science and cybersecurity? A great example of this is when the cloud first started gaining traction.

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Strengthening cybersecurity in life sciences with IBM and AWS

IBM Journey to AI blog

Cloud is transforming the way life sciences organizations are doing business. Leading life science companies are leveraging cloud for innovation around operational, revenue and business models. Leading life science companies are leveraging cloud for innovation around operational, revenue and business models.

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MakeBlobs + Fictional Synthetic Data, Adding Data to Domain-Specific LLMs, and What Tech Layoffs…

ODSC - Open Data Science

The Importance of Implementing Explainable AI in Healthcare Explainable AI might be the solution everyone needs to develop a healthier, more trusting relationship with technology while expediting essential medical care in a highly demanding world. Industry, Opinion, Career Advice What are Tech Layoffs Saying About the AI Industry?

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Unlocking Innovation: AWS and Anthropic push the boundaries of generative AI together

AWS Machine Learning Blog

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications. with higher levels of intelligence.

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning Blog

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. For instance, in an application that recommends movies, features could include previous ratings, preference categories, and demographics.

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Meta-Learning: Learning to Learn in Machine Learning

Heartbeat

Photo by Brett Jordan on Unsplash In the ever-evolving landscape of artificial intelligence and machine learning, researchers and practitioners continuously seek to elevate the capabilities of intelligent systems. Among the myriad breakthroughs in this field, Meta-Learning is pushing the boundaries of machine learning.

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Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning Blog

Although this post focuses on autonomous driving, the concepts discussed are applicable broadly to domains that have rich vision-based applications such as healthcare and life sciences, and media and entertainment. Let’s begin by learning a little more about what’s under the hood of a foundational vision model like SAM.