The state of AI in 2020: Biology and healthcare’s AI moment, ethics, predictions, and graph neural networks
Research and industry breakthroughs, ethics, and predictions. This is what AI looks like today, and what it’s likely to look like tomorrow.
The State of AI Report 2020 is a comprehensive report on all things AI. Picking up from where we left off in summarizing key findings, we continue the conversation with authors Nathan Benaich and Ian Hogarth. Benaich is the founder of Air Street Capital and RAAIS, and Hogarth is an AI angel investor and a UCL IIPP visiting professor.
Key themes we covered so far were AI democratization, industrialization, and the way to artificial general intelligence. We continue with healthcare and biology’s AI moment, research and application breakthroughs, AI ethics, and predictions.
A key point discussed with Benaich and Hogarth was the democratization of AI: What it means, whether it applies, and how to compete against behemoths who have the resources it takes to train huge machine learning models at scale.
One of the ideas examined in the report is to take pre-existing models and fine-tune them to specific domains. Benaich noted that taking a large model, or a pre-trained model in one field, and moving it to another field can work to bootstrap performance to a higher level: