[News] Breaking the scaling limits of analog computing

As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations.

Conventional digital computers are struggling to keep up.

An analog optical neural network could perform the same tasks as a digital one, such as image classification or speech recognition, but because computations are performed using light instead of electrical signals, optical neural networks can run many times faster while consuming less energy.

Source: [https://gemm.ai/breaking-the-scaling-limits-of-analog-computing/](https://gemm.ai/breaking-the-scaling-limits-of-analog-computing/)

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