Remove category industries healthcare-and-life-sciences
article thumbnail

Life of modern-day alchemists: What does a data scientist do?

Dataconomy

” Step into the realm of data science, where numbers dance like fireflies and patterns emerge from the chaos of information. In this blog post, we’re embarking on a thrilling expedition to demystify the enigmatic role of data scientists. Today’s question is, “What does a data scientist do.”

article thumbnail

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?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

AWS 78
article thumbnail

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.

AWS 135
article thumbnail

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.

AI 110
article thumbnail

Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. That’s why the U.S. The goal of the U.S.-U.K. This post introduces the U.S.

article thumbnail

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.