The problem with waiting for quantum computing to bring in the next wave of artificial intelligence is that it is likely to arrive a lot slower than people would like. Increasing the speed of existing computers is one of the next best options, but there is another added benefit: power efficient systems that will not burn up the planet while we get about conjuring the Artificial Intelligence into being.
The speed of artificial intelligence doubles every 3 or 4 months, meaning that standard Semiconductor technologies are struggling to keep up. Several companies are working on a project that will speed up the whole thing by introducing light into the Semiconductor realm.
The Oxford-based startup thinks it has the answer by combining an ultra-high-speed multi-chip processor that packages a photonics chip together with standard electronics.
The seed round was led by Cambridge Innovation Capital and Oxford Science Enterprises. Former CEO of Dialog Semiconductor Jalal Bagherli, ex-Temasek Board Member Yew Lin Goh, and Arm-backed Deeptech Labs participated.
Salience is a spin-out of Oxford University and the University of Münster in 2021, after it came up with the idea of using a broad bandwidth of light to execute operations to deliver what it calls “massively parallel processing performance within a given power envelope”. The company says the technology is highly scalable and capable of stacking up to 64 vectors into a beam of light.
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