Types of cloud service models explained
Cloud computing has become a standard way of doing business, perfectly suited for all types and sizes of companies. The cloud is no longer...
Public cloud – Benefits and regulatory challenges
The ongoing COVID-19 has proven that the cloud is an inevitable technology that every organization should adopt to be more resilient, effectively manage operational...
7 robotics technologies that will influence our day-to-day in 2023 [Updated]
Robots are smart, intelligent machines that combine three different fields: engineering, science, and technology. Robotics is not a fad. Statistics show an upward trend...
Global effects of automation: Toward a jobless society?
It is undoubtedly true that robots are faster, more efficient, more agile, and more intelligent than human workers, and they can only benefit humanity....
Battery life estimation using machine learning techniques
Battery life estimation or state of health (SOH) estimation deals with accurately assessing the percentage value of the State of Charge (SoC), which is...
Artificial vision – Bionic eyes or retinal implants for the blind
Vision impairment or blindness occurs due to retinal diseases, damage, or age-related macular degeneration of the optic nerve, the brain, or any part of...
Top scientific studies on drone use in healthcare applications
Plenty of scientific studies prove the potential benefits of drones in healthcare and health-related services. The most frequently discussed benefit of drones is their...
Pros and cons of anomaly detection techniques
Our recent post about data anomaly detection explored various supervised and unsupervised techniques commonly used to identify intrusions and non-authorized activities. This post will...
Agricultural drones in India – Challenges and bottlenecks
The modern farming sector is at a turning point. Farmers now have more tools than ever to improve process accuracy and efficiency, thanks to...
Supervised and unsupervised anomaly detection techniques
Even after 20 years of research and development, anomaly detection still confronts difficult and unresolved challenges, including reducing many false alerts during the process...
History of autonomous vehicles – Timeline
We call them different names - autonomous cars, self-driving cars or driverless cars, and robotic cars. Whatever may be the names, the aim of...
Data anomaly detection – Complexities and challenges
A data anomaly is a point or sequence of points that deviate from the normal behavior of the data. Anomaly detection is a process...
