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Postdoc position in metadata-aware machine learning and image analysis

Postdoc position in metadata-aware machine learning and image analysis

The DASYA (DAta-intensive SYstems and Applications) group at the Computer Science Department of the IT University of Copenhagen invites motivated individuals to apply for a...

IBM continues advancing disease progression modeling and biomarkers research using the latest in AI | IBM Research Blog

IBM continues advancing disease progression modeling and biomarkers research using the latest in AI | IBM Research Blog

Type 1 diabetes (T1D) is an autoimmune disease that can strike both children and adults. It can leave those afflicted with difficult, life-long disease management issues and...

Binary Logistic Regression Overview

Binary Logistic Regression Overview

Predictive modeling (or machine learning) can be challenging to understand and use because there is no one algorithm that would work... Predictive modeling (or machine...

Auto-generated Summaries in Google Docs

Auto-generated Summaries in Google Docs

For many of us, it can be challenging to keep up with the volume of documents that arrive in our inboxes every day: reports, reviews, briefs, policies and the list goes on. When...

Council Post: Machine Learning And Artificial Intelligence: Implementation In Practice

Council Post: Machine Learning And Artificial Intelligence: Implementation In Practice

Founder and CEO of FortySeven Software Professionals, with over a decade of experience advising F500 companies and growth-stage startups. Artificial intelligence (AI) is...

Does this artificial intelligence think like a human?

Does this artificial intelligence think like a human?

In machine learning, understanding whya model makes certain decisions is often just as important as whether those decisions are correct. For instance, a machine-learning model...

Logistic Regression Tutorial for Machine Learning

Logistic Regression Tutorial for Machine Learning

Logistic regression is one of the most popular machine learning algorithms for binary classification. This is because it is a simple algorithm that performs very well on a wide...

How ML Ops Can Help Scale Your AI and ML Models

How ML Ops Can Help Scale Your AI and ML Models

  CIOs realize data is the new currency. But, if you can’t use your data as a differentiator to gain new insights, develop new products and services, enter new markets, and...

How can machine learning and artificial intelligence be effective in your business?

How can machine learning and artificial intelligence be effective in your business?

Moving from the computer playing chess to self-driving cars, technology continues to reinvent itself. Today, artificial intelligence, machine learning, and deep learning are...

Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage | NVIDIA Technical Blog

Accelerating Climate Change Mitigation with Machine Learning: The Case of Carbon Storage | NVIDIA Technical Blog

Climate change mitigation is about reducing greenhouse gas (GHG) emissions. The worldwide goal is to reach net zero, which means balancing the amount of GHG emissions produced...

Researchers Come Closer to Achieving “Emotionally Intelligent” AI

Researchers Come Closer to Achieving “Emotionally Intelligent” AI

Researchers at the Japan Advanced Institute of Science and Technology have integrated biological signals with machine learning methods to enable “emotionally intelligent” AI....

Discovering the systematic errors made by machine learning models

Discovering the systematic errors made by machine learning models

Machine learning models that achieve high overall accuracy often make systematic errors on coherent slices of validation data. What is a slice? A slice is a set of data samples...