Tue 22 Dec 2020
How Computer Vision is transforming different industries
Discover how Computer Vision is transforming transportation and logistics, health, manufacturing, and security
Tue 22 Dec 2020
The state of AI in 2020: discoveries you should know about
Discover some of the most exciting breakthroughs in the field of Artificial Intelligence for the year 2020
Thu 17 Dec 2020
The impact of Artificial Intelligence on business processes
Discover how Artificial Intelligence is impacting business processes, enhancing human capabilities, and augmenting jobs
Tue 15 Dec 2020
Artificial Intelligence in medical devices
Discover the current state of AI in medical devices, its benefits, and future trends
Tue 15 Dec 2020
Artificial Intelligence (AI) in drug discovery
Discover how Artificial Intelligence is transforming and speeding up drug discovery
Fri 04 Dec 2020
Artificial Intelligence for clinical decision support
Discover Artificial Intelligence-based clinical decision support systems, their benefits and challenges
Tue 10 Nov 2020
The process of data augmentation - Part II
Discover how to perform data augmentation, the related challenges, and how to resolve them
Thu 05 Nov 2020
The state of Artificial Intelligence in Healthcare in the US
A new database provides an overview of the available Artificial Intelligence-based medical devices and health technologies
Tue 27 Oct 2020
What is Data Augmentation in Machine Learning - Part I
Discover what is data augmentation in Machine Learning, and how it can help solve the problem of imbalanced and/or insufficient dataset
Thu 08 Oct 2020
How is Artificial Intelligence used in cardiology?
Discover the uses of Artificial Intelligence in monitoring and preventing cardiovascular diseases in patients
Mon 07 Sep 2020
The use of Artificial Intelligence in Biomedical Imaging
Artificial Intelligence (AI) is disrupting the field of biomedical imaging. Let's discover why.
Thu 30 Apr 2020
5 Pharma companies using Artificial Intelligence
We take a look at the implementation of Machine Learning in five pharmaceutical companies and examine the AI applications for each company individually