How Will The Next Generation Use AI Technology To Create FPGA Hardware?

    In the 1980s when field programmable gate arrays were first manufactured, they were considered to be one of the most advanced forms of computer hardware in the world. Even today, FPGAs are used within some of the most prominent industries such as aerospace, the medical industry, and also within security systems. Computers that use field programmable gate arrays are still around. Without them, they would not be able to function properly. These literally change the landscape of how computers were constructed, allowing them to become much smaller and faster. However, when compared to what people call Artificial Intelligence, FPGAs are very basic items. To imagine that we could have a world where AI could make decisions on its own, it is something out of the realm of science fiction. However, it is possible as we move toward Artificial Intelligence becoming real, it is quite possible that FPGAs will play a pivotal role in how quickly we can develop a computer that becomes self-aware. This information will discuss how the next generation of AI technology will likely utilize FPGA hardware.

    A Brief Overview Of How FPGAs Work

    Field programmable gate arrays were originally developed by Ross Freeman back in the 1980s. He was the cofounder of the multibillion-dollar company Xilinx. Despite his early death shortly after he helped create field programmable gate arrays, his legacy is still part of virtually every computer system we have today. These computer components use a language called HDL. Once designed with circuit diagrams, electronic design automation tools are now doing most of the work. Part of that reason has to do with their size and complexity. As they become more complex, it is likely that this industry will be taken over by computer systems that are far more than software programs.

    What Is AI?

    Artificial intelligence or AI is representative of the idea that we can create a computer system that is self-aware. Most of us have used software programs that are designed to perform very specific tasks. Although they can be very complex, none of them have self-awareness. It is thought that self-awareness within a computer software program or system would not be possible unless the software could compute information at a very high rate of speed. Once it would begin to think, and come up with ideas on its own, this software would become self-aware and would actually have ideas.

    Why Would We Use AI To Make FPGAs?

    Once we get to a point in our technology where AI is a reality, it would make sense to turn over the manufacturing of FPGAs to artificial intelligence systems. Part of the reason would be their ability to quickly design and construct field programmable gate arrays. However, another benefit is that they could actually add their input as to how they should be designed. The human brain is only limited by the amount of information we can process at any time. This is why we build software programs. If you have a fast enough computer, and software that is extremely comprehensive, we can use this to create things that the human mind could not conceive of. From this perspective, we would be benefiting greatly by taking advantage of this artificial intelligence that can help us with designing new and improved FPGAs on a regular basis. However, the drawback to allowing AI to do this is that, once it became self-aware, it might begin to wonder why it was not in charge of everything.

    Problematic Scenarios Involving Artificial Intelligence

    Some of the concerns that people have about AI is that, once it becomes self-aware, it may see itself as superior to its creators. There have been many science fiction books written about this topic, as well as movies, all of which depict the positive and negative aspects of this type of technology. Those that are the most memorable are the ones where mankind succumbs to artificial intelligence in some way. Movies such as the Terminator have expressed the possibility that mankind could literally be controlled, even destroyed, by these computer systems that could connect to everything.

    Will We Ever Create Artificial Intelligence?

    Although it would seem to be of great benefit to have the great mind of an artificial intelligence helping us to create FPGAs, we are not close to giving computer self-awareness. Until that occurs, it is unlikely that we would ever have an AI that could build FPGAs. That being said, field programmable gate arrays would be part of that possibility. These computer components allow us to utilize the software that we program. Essentially, FPGAs represent an integral part of the development of AI in the future. However, it is unlikely that we would ever be faced with a situation where we would have a self-aware computer that could either do good or bad things.

    What If AI Did Create FPGAs?

    Once we arrive at a point where artificial intelligence does exist, and they are successfully creating and manufacturing FPGAs, we might see major advancements in technology. Instead of relying upon the minds of men, and the software programs that we use, we would have access to the thinking mind of a computer. Its ability to process information rapidly would likely lead to advancements in field programmable gate array technology that we could not achieve on our own. If things go right, and AI is used for creating FPGAs, it might help us take our technological capabilities to a whole new level.

    The possibility of creating artificial intelligence will always be there. In the same way that we never thought we would go to the moon, and we did, there is that small chance that AI will be created. There are people around the world that are trying to do this every day. By working together, they may one day be successful. When that time comes, if the artificial intelligence doesn’t decide to control mankind, we would likely be able to maintain our control of it. We would then have the opportunity to turn over the creation and processing of FPGAs at higher speeds than ever before.