Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
“We’re giving a new type of input to AlphaFold. The idea is to get the whole picture, both from experiments and neural networks, making it possible to build larger structures."
In ML classification tasks, achieving high accuracy is only part of the goal; it's equally important for models to express how confident they are in their predictions.
This story is a collaboration of three Institutes that are working at the intersection of cell research, cancer research and care, and artificial intelligence.
Developing a model to provide deep insights into hand movement, which is an essential step for the development of neuroprosthetics and rehabilitation technologies.
AI is becoming a part of our daily lives, from approving loans to diagnosing diseases. But if we can't understand the decisions the models output, how can we trust them?