- “Three emerging areas within AI that are poised to redefine the field—and society—in the years ahead.
- Unsupervised Learning – is an approach to AI in which algorithms learn from data without human-provided labels or guidance.
- Federated Learning – Rather than requiring one unified dataset to train a model, federated learning leaves the data where it is, distributed across numerous devices and servers on the edge. Instead, many versions of the model are sent out—one to each device with training data—and trained locally on each subset of data.
- Transformers – Transformers’ great innovation is to make language processing parallelized: all the tokens in a given body of text are analyzed at the same time rather than in sequence.”