As engineers in AI and DSP, we treat convolution as a fundamental constant. It’s the bedrock of filtering and the workhorse of deep learning. But for systems requiring high precision and the modeling of real-world physics, our reliance on direct, time-domain convolution is a significant bottleneck. This reliance forces Read more
Beyond Convolution: How FSDSP’s Patented Method Unlocks Fractional Calculus for AI
As engineers in AI and DSP, we treat convolution as a fundamental constant. It’s the bedrock of filtering and the workhorse of deep learning. But for systems requiring high precision and the modeling of real-world physics, our reliance on direct, time-domain convolution is a significant bottleneck. This reliance forces Read more