For the 2019 model year, AMG is offering a GLE 63 S Coupe with 4MATIC AWD. The 2019 Mercedes-AMG GLE 63 S Coupe is quite a beastly machine. Starting at a MSRP of $113,000 in the U.S., this car arrives with a ton of tech. The technology on the GLE 63 S Coupe include:
Active Curve System
Adaptive Dampening System
AIRMATIC Sport Suspension
ECO Start/Stop System
High-Performance Braking System
Performance 4MATIC AWD
Sport-Tuned Direct Steer
OPTIONAL: Sport Exhaust System
All of these features are beneficial to the car, making it a track-friendly SUV coupe. With so many advanced options, this car handles quite well and is capable of towing 7,200 pounds via rear trailer hitch. So, if the goal is performance and towing capabilities, this car meets both.
An Engine Built by Hand!
2019 Mercedes-AMG GLE 63 S Coupe – V8 BiTurbo 4MATIC Side Badges – Manufacturer Picture – EuroDrift
The 2019 Mercedes-AMG GLE 63 S Coupe sports a handcrafted AMG 5.5-liter V8 BiTurbo engine. At peak, the AMG V8 produces 577 horsepower and 561 lb.-ft. of torque. Towing with this much power should be cake! The engine works in combo with an AMG SPEEDSHIFT PLUS 7G-Transmission. This allows the AMG GLE to reach 60 mph in only 4.1 seconds. Lastly, to get the power to the ground, this car rocks 22” wheels.
2019 Mercedes-AMG GLE 63 S Coupe – AMG SPEEDSHIFT PLUS Transmission – Manufacturer Picture – EuroDrift
With the 2019 Mercedes-AMG GLE 63 S Coupe, AMG shows the world it is ready to battle for the years to come. With so much power, this car can compete with the crème of the crop. Furthermore, with its closest competition being Audi and BMW, these companies will have to hustle to keep the arena in fair play. Obviously, this car has quite a beautiful interior with the newest Mercedes technology. So, fortunately, this car won’t end up behind in times like the Ghibli or Levante. Overall, the AMG GLE is an amazing SUV that performs like a sedan.
2019 Mercedes-AMG GLE 63 S Coupe – ECO Start & Stop Button – Manufacturer Picture – EuroDrift
Throughout the history of the automobile, different types of technology have seeped into industry. In recent times, a large motion of artificial intelligence and quantum computing are the future. Due to this, Google and Volkswagen are partnering on an automotive quantum computer collaboration. It will start off as a study but with positive results, it may shift the way automobiles compute information. In this article, we will review the concept and the goal of Google’s quantum computing project.
EV Battery Technology, Machine Learning, & Traffic Flow
The reasoning for the Google and Volkswagen partnership is to solve the question of how to apply quantum computers to automobiles to solve fundamental problems. These issues include EV battery technology, machine learning, and traffic flow. Each of these issues need to be addressed to take automobiles to the next level. Quantum computing is a newer concept that’s primary goal is artificial intelligence and simulations. By investigating its use in the auto field, the way people commute may change forever.
Quantum computers, the new generation of computation, use quantum-mechanical phenomena to perform data operations. The quantum-mechanical phenomena include entanglement and superposition. Both of these concepts are part of quantum physics, one of the most difficult physics subcategories in the world. Quantum computers use quantum-mechanical action which means the power of atoms performs memory and tasks. Yes, actual atoms… the ones you learn about in chemistry.
Era of Quantum Computing Competition
Google is one of the top two quantum computer competitors alongside IBM. Google’s universal quantum computer is exponentially more powerful than silicon-based, conventional systems. With technology like this, Google expects to take the entire world to the next leap in technology. The concepts of entanglement, quantum computing, and superposition are over most people’s heads. Regardless, fortunately for everyone, there are the select few who are able to understand and make use of this science.
EV Battery Technology
Google’s purpose for researching EV batteries is an attempt to increase the efficiency of these batteries. EV batteries are used in mostly all electric vehicles and provide power to the vehicle. These batteries have come a long way through the years but there is still much need for improvement. Current vehicles can make it a few hundred miles before requiring a recharge. The goal is to improve EV batteries to a point that recharging becomes less than half as frequent.
Intelligent Machine Learning
Intelligent machine learning is part of the artificial intelligence realm. The concept of machine learning means that a computer will learn naturally rather than through programming. Basically, as the computer operates, it will attempt to understand certain phenomena and adapt to the situation. This can be from how to handle road obstacles to passenger preferences. With this technology, artificial intelligence computing will be able to handle every day situations without the need for constant alterations by a programmer.
Traffic Flow Research
In Google’s traffic flow research, Google will look at the entire infrastructure of the entire system rather than individual vehicles. Changes to one vehicle may benefit the passengers of that vehicle but that doesn’t resolve the entire issue of traffic as a whole. With this project, Google hopes to resolve traffic around the world. Considerations that Google will take into play include the vehicle and its surroundings. These include barriers, bypass vehicles, lanes, road lines, and other surroundings. In addition, improving traffic flow will also require car-to-car communication through signal waves.
Quantum Computing is the Future
Overall, Google is attempting to take the automotive world into the future with quantum computing. By teaming up with Volkswagen, Google will be able to work with an auto manufacturer to complete its task. It is beginning as a research study and may lead into the next generation of automobiles. Furthermore, quantum computers will be the norm in the near future and now is the time for big businesses to figure it out. In conclusion, quantum computing may be the norm in the years to come.