Hardware and beyond
In this final section on Artificial Intelligence trends, I want to talk about hardware and physical devices related to AI: AI chips, IoT, smart cities, quantum computing. Let’s have a look behind these buzzwords and see actual applications and opportunities.
It’s worth noting that machine learning by itself, that is, as a set of learning algorithms, is not useful until you’re able to provide it with enough computing power. That’s why advances in computing power and general computation techniques are influencing AI progress. In 2019 and 2020, we could see that through Transformers models with billion parameters trained on millions of texts (GPT-2, Megatron, Turing-NLG). AlphaGo and AlphaStar from Deepmind needed millions of dollars in cutting edge computing power to achieve human-level performance in Go and StarCraft II, respectively. We can expect new amazing applications of deep learning will require even more computing power. That...
