Neurophos

While GPUs have had massive success in accelerating AI workloads, digital approaches are typically limited by power consumption. On the other hand, proponents of optical computing techniques claim that photonics can vastly reduce power consumption and therefore accelerate compute speeds far beyond the bounds of what is possible with modern GPUs.
Unfortunately, despite vast amounts of capital having recently been invested in optical compute for AI, the success of the field has been limited, largely because existing optical devices are too large and bulky to scale. However, metamaterials enable new paradigms for controlling the flow of light. The discovery of metamaterials has unleashed an enormous burst of creativity, leading to demonstrations of invisibility cloaks, negative refractive index materials, and many other exotic products.
Neurophos’ optical metasurfaces are designed for use in data centers and their approach is already shattering world records in computational energy efficiency. Neurophos plans to use high-speed silicon photonics to drive a metasurface in-memory processor capable of fast, efficient, AI compute.