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Isaac

Commentating on Drones with Neural Networks

Written By Isaac Lee

Edited By Kapil Ramasubramnian


Commenting on Neural Networks

As mentioned in a previous blog, the potential of neural networks and drones is boundless. Neural networks, constantly evolving and gathering information, are playing an increasingly significant role in our advancing society. Similarly, drones are undergoing continuous advancements as new technologies are discovered. Throughout this article, we will delve into the implications of neural networks and drones, highlighting their capabilities and potential.


Neural networks operate on the principles inspired by the functionality of the human brain. Just like our brains adapt and process diverse information, neural networks exhibit the same adaptability. The design of neural networks, resembling the intricate structure of the brain, is a stroke of genius by scientists. Neurons in the brain correspond to nodes in neural networks, creating an interconnected system that enables seamless data transmission. The remarkable similarity between neural networks and the human brain is truly remarkable.


Algorithm of a general neural network


Machine learning, a subset of artificial intelligence, has been making significant advancements thanks to numerous companies harnessing its potential. Neural network drones are already a reality, but with the continued progress of technology, we can anticipate even faster and smarter AI drones. These drones equipped with neural networks can adapt and learn from their experiences, enhancing their performance and efficiency over time.


The synergy between neural networks and drones opens up a wide array of applications and possibilities. Neural networks enable drones to analyze complex data and make intelligent decisions, enabling autonomous operations and expanding the scope of their capabilities. This convergence of technologies propels us towards a future where drones equipped with neural networks can carry out tasks more accurately, efficiently, and autonomously, revolutionizing industries such as aerial surveillance, delivery services, disaster response, and more.


As the fields of neural networks and drones continue to evolve and advance, we can expect to witness even greater breakthroughs and advancements in the realm of artificial intelligence. The fusion of these two powerful technologies presents an exciting frontier, enabling us to explore new frontiers and achieve unprecedented levels of efficiency and innovation.


“Liquid” Neural Networks

You may be wondering, why are neural networks coined the term “liquid?” The actual build of these significant algorithms aren’t liquid. As stated above they contain neurons and are based on an organic human brain. The real reason they are “liquid” is due to the smoothness and almost liquid-like sensing.


Commenting on Neural Networks with Drones

Drones are already extremely advanced with their fast motors, detailed cameras, and long-lasting batteries. However, they all require a human to control it. With the use of neural networks in the drone, it can fly with its own accord. If the neural network drones advance at this current rate, in the near future we can see drones able to fly fast and extract data from the environment even faster.


Drone flying fast into the sunset


Just as how AI learns and is trained on vast sources of knowledge, Neural network drones absorb data from the environment. However, the drones fly quite slow. In recordings, they would slowly float around and wouldn’t go high. They slowly went around the obstacles with caution. This clearly displays that the function of the drones work. Scientists just have to increase the speed of the drone.


One comment about the use of neural network drones is that they can be used in countless fields. When they become faster, the drones would be able to quickly dodge obstacles and drop off supplies or packages. If the drones become more aware and have a greater vision, then they can act almost as a flying radar.


Drone scouting the farmland


“The Unknown Domains”

Currently, the utilization of drones is predominantly limited to open sky environments. However, according to an MIT article, a new breed of drones is being developed with the remarkable capability to adapt to unknown domains. This means they have the potential to operate effectively in urban cities and bustling areas, presenting exciting possibilities for various applications. One area where this adaptability can have a significant impact is in package delivery, as it could lead to near-instantaneous efficiency. With drones capable of seamlessly navigating through complex urban landscapes, delivering packages could become faster and more efficient than ever before.


Another crucial aspect highlighted in the article is the flexibility of these drones in tackling unknown domains. They possess the ability to consistently avoid obstacles, even in challenging environments such as forests. Consider a scenario where you find yourself camping and accidentally venture onto the wrong trail. If a neural network drone is deployed to assist in the search and rescue effort, it can swiftly navigate through the unfamiliar forest, utilizing its obstacle-avoidance capabilities, and guide you back to the safety of your campsite. The potential of these drones to efficiently navigate and explore uncharted territories opens up a world of possibilities in terms of remote sensing, exploration, and emergency response.




Drone saves a phone in the wilderness


Another notable aspect is the robust and blockish structure of neural network drones. Due to the enormous amounts of data they need to process, these drones often exhibit a large, box-like design. They are equipped with numerous motors, receptors, and processors to handle the computational demands. Although the current design may be relatively slow, advancements in technology, such as more compact processors and lighter materials, will undoubtedly propel the speed of these drones to new heights.


Final Comments

The continuous development of drones integrated with neural networks is driving their increasing intelligence. As highlighted in the introduction, the possibilities are truly infinite. The combination of artificial intelligence and drones holds the potential to revolutionize various industries and reshape the world we live in. By leveraging the power of neural networks, drones can perform complex tasks autonomously, adapt to changing environments, and make informed decisions based on real-time data analysis. This convergence of technologies represents a remarkable leap forward in our ability to leverage intelligent automation for a wide range of applications.


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