The most sophisticated AI systems today are capable of impressive feats, from directing cars through city streets to writing human-like prose. But they share a common bottleneck: hardware. Developing systems on the bleeding edge often requires a huge amount of computing power. For example, creating DeepMind’s protein structure-predicting AlphaFold took a cluster of hundreds of […]...
