Top 9 commercial cloud monitoring tools in 2023 [Updated]
Cloud monitoring is an automated process to manage, monitor, and evaluate cloud computing architecture, infrastructure, and service. It plays a key role in supporting...
Cloud monitoring – Three challenges to overcome
The transition to cloud-based applications appears unstoppable. As the number of cloud users grows day by day due to various economic and performance benefits,...
Smart sensors: Key components and advantages
We can find sensors everywhere. Sensors are vital to our awareness of our surroundings and provide safety, security, and monitoring of the environment and...
Machine Learning in Physics – The power and promise
Our ability to generate and analyze large data sets has increased dramatically over the last three decades. This “big data” revolution, spurred by an...
Ingestible sensors – Components and emerging technologies
Ingestible sensing capsule is one of the fast-emerging technologies today to greatly impact health, nutrition, and clinical areas.
Thanks to the significant advancements in electronics,...
Machine learning in everyday life – Six common applications
The term 'machine learning' is not one with high salience for the public. According to research by the Royal Society of London, only 9%...
Healthcare IoT revolutionising diagnostics through digestible sensors
The Internet of Things (IoT) in healthcare is being used as a new generation of automated medication. Health parameters and vital signs are measured...
Current use cases of artificial intelligence (AI) in healthcare
The healthcare sector is undergoing a rapid transformation globally due to the new advancements in artificial intelligence (AI) technologies such as machine learning, natural...
Autonomous vehicles will not be cheaper – A cost-based analysis
Many people wonder how soon autonomous vehicles (AV) will hit the road to solve the current transportation problems. Optimists believe that by 2030, autonomous...
Machine Learning applications: How to think about AI and your business
We hear two common questions when talking with users who are new to the artificial intelligence (AI) space and looking to leverage AI in...
Challenges to the adoption of Artificial Intelligence (AI) in Pharma
Historically, the discovery of new drugs takes a long time to extract ingredients from natural products, test compounds against samples of diseased cells, and...
History of artificial intelligence in medicine (AIM)
The term "Artificial Intelligence" (AI) was coined in 1950. Alan Turing was the first to describe the use of computers to simulate intelligent behavior...
