Due to prolong lockdown you have already avoided visiting at the dental clinic, despite your teeth problem. But now dentists are operating and offering the essential dental procedures to cure your teeth. And if you have a problem you can visit at the clinic.
Though, Coronavirus pandemic not yet over, but cities are unlocked allowing the people, community, business owners, and shopkeepers to run their business and earn for their family.
But they all have to follow health related all the rules and guidelines to make sure this pandemic keeps under control and not spread further due to community transfer.
Just like hospitals and other medical centers, dental clinics also follow the rules and regulations and you also need to aware of such guidelines and must know how to visit and get the right treatment without any risk of getting infected with the virus. …
Artificial Intelligence (AI) is getting integrated into vital fields making human life more efficient and productive. Similarly, AI in agriculture is making agriculture and farming easier with computer vision-based crop monitoring and production system.
AI Robots, drones and automated machines are playing a big role in harvesting, ripping, and health monitoring and improving the productivity of the crops. But do you know how these AI-enabled machines help in precise agriculture and farming?
Actually, these AI machines work on computer vision technology and AI models are trained through annotated images fed using the right machine learning algorithms.
Image annotation is the process that helps machines to detect or recognize various objects or things in the agricultural fields, so that machine can easily identify and take the right action. …
Robots were the first-known automated type machines people got to know. There was a time when robots were developed for performing specific tasks, yes such machines were earlier developed without any artificial intelligence (AI) to perform only repetitive tasks.
But now the scenarios are different, AI in getting integrated into robots to develop the advanced level of robotics that can perform multiple tasks, and also learn new things with a better perception of the environment.
AI in robotics helps robots perform the crucial tasks with a human-like vision to detect or recognize the various objects.
Nowadays, robots are developed through machine learning training. A huge amount of datasets is used to train the computer vision model, so that robotics can recognize the various objects and carry out the actions accordingly with right results. …
IVF treatment is becoming a common practice in today’s reality, where 12% of the world population struggle to conceive naturally. But thanks to artificial intelligence in IVF, the whole process is going to help the embryologists to select the best quality embryos for in-vitro fertilization improving the success of conception through artificial insemination.
As per the latest study published in eLife, a deep learning system was able to choose the most high-quality embryos for IVF with 90% accuracy.
Compared to trained embryologists, the deep learning model performed with an accuracy of approximately 75% while the embryologists performed with an average accuracy of 67%. …
Artificial Intelligence (AI) in healthcare is going to improve the birth process of humans with better diagnosis method when baby is in mother’s womb. Yes, using the machine learning approach, now AI can help predict the pregnancy related risks.
As per the published in the American Journal of Pathology, a machine learning model can analyze placenta slides and inform more women of their health risks in future pregnancies, leading to lower healthcare costs and better outcomes.
Actually, when a baby is born, doctors sometimes examine the placenta for features that might suggest health risks in any future pregnancies. …
AI in healthcare is becoming more prevalent with more effective computer vision-based machine learning model developments.
The more training data is used with the machine learning algorithm the AI model will learn with more variations making it easier to predict the results with more accuracy in various scenarios for the healthcare sector.
And to make the training data useful and productive, the annotated medical images are used to make the disease or body aliments detectable through machines. Medical image annotation is the process used to create such data with an acceptable level of accuracy.
Medical image annotation is the process of labeling the medical imaging data like Ultrasound, MRI, and CT Scan, etc. …
Yes, I’m talking about the time full-fledged deployment of artificial intelligence into a car that can run automatically on the busy road in various scenarios, without driver’s assistance avoiding all the objects making the journey safe and crash-free.
Yes, till now except few commercial vehicles, there are no self-driving cars runs at the fully automotive mode.
Though a few years back Google and Tesla have successfully tested autonomous vehicles, even Tesla motors provide a different level of autonomy but were not successful enough, due to few accidents that happened while on testing and at the time of real-life use by the car owners. …
Sensor-based technologies are playing a key role in making artificial intelligence (AI) possible in various fields. LiDAR is one of the most promising sensor-based technology, used in autonomous vehicles or self-driving cars and became essential for such autonomous machines to get aware of its surroundings and drive properly without any collision risks.
Autonomous vehicles already use various sensors and LiDAR is one of them that helps to detect the objects in-depth. So, right here we will discuss LiDAR technology, how it works, and why it is important for autonomous vehicles or self-driving cars.
LIDAR stands for Light Detection and Ranging is a kind of remote sensing technology using the light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. …
Satellite images can capture the wide-angle viewing area from the distant height making it easier for artificial intelligence applicable to various fields.
And AI applications using the satellite images can learn to predict various scenarios after analyzing the situation from satellite imagery datasets that are specially created for AI models.
And to train such models a huge amount of training data set are required through machine learning or deep learning algorithms. These satellite images data includes different types of Aerial views of various things like agricultural fields, forest, cities for urban planning and management and various other manmade structures.
At the time of developing the AI models through machine learning (ML) first and most important thing you need, relevant training data sets, which can only help the algorithms understand the scenario through new data or seeing the objects and predict when used in real-life making various tasks autonomous.
In the visual perception based AI model, you need images, containing the objects that we see in our real life. And to make the object of interest recognizable to such models the images need to be annotated with the right techniques.
And image annotation is the process, used to create such annotated images. The applications of image annotation in machine learning and AI is substantial in terms of model success. …