Removing unnecessary work makes high-power computers more effective. A new type of data analysis boosts the calculation power. The idea is to use tensors that connect the operands. If we multiply something with zero the answer is zero. And even if the calculation inside the brackets is very complicated, but the entirety is multiplied with zero like this (X+Y+z)*0=0. We can scale this thing to all calculations the result is always zero. That means multiplying something inside brackets with zero means zero, and that means we can leave it without attention. In AI research the value zero can mean that the system removes the calculation, or it can wait for the next data packet to get more information. The values zero and one can mean that in zero system waits. And if the answer is one or more. The system continues to the next operand. Machine learning requires that the computer can use multiple data sources. That requires the ability to handle very large...
The research and advances in artificial intelligence are causing the need to re-estimate what things like consciousness means? When we are creating new and powerful AI. We are creating something that has not existed before. And quantum technology has increased the power of AI. So that means we might face surprising situations when we are driving AI algorithms by using quantum computers that are a minimum of 1000 times faster and more powerful than traditional binary computers.