Tesla created a brand new code base for its new self-driving software.

When developers create new solutions, that process begins with the need to make something new. The new hardware with more powerful data handling tools makes it possible to create more advanced, perfect, and more effective software that supports new protocols better. And sooner or later developers must throw the old code base away. This thing is seen in the software development. When the physical machines's power rises, software gets new abilities that should make them more effective and versatile.

One of the AI-controlled driving system's purposes can be to fix errors. That driver makes.

The new autopilot software is more complicated and it can respond to new types of situations. The new automatic drive software recognizes things like speed limits and adjusts the vehicle's speed following those instructions. The systems can communicate with other vehicles and traffic control computers, which allows them to avoid rush hour and rush places. The ability to communicate with other vehicles helps in cooperation between vehicles, and it makes traffic smoother. The AI-based systems can see if the driver crosses the speed limits.

And in this point, we must realize that we must make compromises between privacy and safety. What if somebody drives dangerously, and drives 100 km/h in the city area, where is the 50 km/h speed limit? Are those cases somebody's privacy? When we make vehicles, we must realize, that traffic is entirety. It's interaction between vehicles, walkers bicyclists, and other things like animals. The purpose of vehicle deployment is to make them ecological, safe, and easy to use.

When we talk about climate change and other things, we must create new types of solutions, that are more environmentally friendly, safer, and ecological. The human error is behind many or even most of the accidents in traffic. And many traffic accidents could denied, if the driver stops the vehicle before they start to do something else. And what if the autopilot reacts to those cases, where a person drives dangerously? The fact is that if a person cannot follow traffic while driving, that is dangerous.

https://dir.md/www.cnn.com/2020/10/30/cars/tesla-full-self-driving/index.html

https://www.freethink.com/robots-ai/tesla-fsd

Comments

New AI-based operating systems revolutionize drone technology.

"University of Missouri researchers are advancing drone autonomy using AI, focusing on navigation and environmental interaction without GPS reliance. Credit: SciTechDaily.com" (ScitechDaily, AI Unleashed: Revolutionizing Autonomous Drone Navigation) The GPS is an effective navigation system. But the problem is, how to operate that system when somebody jams it? The GPS is a problematic system. Its signal is quite easy to cut. And otherwise, if the enemy gets the GPS systems in their hands, they can get GPS frequencies. That helps to make the jammer algorithms against those drones. The simple GPS is a very vulnerable thing. Done swarms are effective tools when researchers want to control large areas. The drone swarm's power base is in a non-centralized calculation methodology. In that model, drones share their CPU power with other swarm members. This structure allows us to drive complicated AI-based solutions. And in drone swarms, the swarm operates as an entirety. That ca

Hydrogen is one of the most promising aircraft fuels.

Aircraft can use hydrogen in fuel cells. Fuel cells can give electricity to the electric engines that rotate propellers. Or they can give electricity to electric jet engines. In electric jet engines. Electric arcs heat air, and the expansion of air or some propellant pushes aircraft forward. Or, the aircraft can use hydrogen in its turbines or some more exotic engines like ramjets. Aircraft companies like Airbus and some other aircraft manufacturers test hydrogen as the turbine fuel. Hydrogen is one of the most interesting fuels for next-generation aircraft that travel faster than ever. Hydrogen fuel is the key element in the new scramjet and ramjet-driven aircraft. Futuristic hypersonic systems can reach speeds over Mach 20. Today the safe top speed of those aircraft that use air-breathe hypersonic aircraft is about Mach 5-6. Hydrogen is easy to get, and the way to produce hydrogen determines how ecological that fuel can be. The electrolytic systems require electricity, and electr

The neuroscientists get a new tool, the 1400 terabyte model of human brains.

"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map) Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins. The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain. This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemica

Visions of bright future

Search This Blog