Kenneth Anshewitz

Kenneth Anshewitz | October 15, 2026 Utilyze has been accepted into the Databricks Technology Partner Program and NVIDIA Inception, expanding the resources available to support our work in AI for biology and scientific research. These milestones reflect our continued focus on building useful AI while making more effective use of the computing resources behind it. (conceptual model of a molecular structure) Across science and industry, AI is creating new ways to analyze complex information and...

By Kenneth Anshewitz | May 19, 2026 An epoch sounds precise. In the simplest version of machine learning, it is just one complete pass through the training data. But when you are training a biological foundation model across enormous sequence datasets, saving checkpoints along the way, and measuring several different kinds of performance, “How many epochs?” stops being the most useful question. The better question is whether additional training is still producing meaningful biological...

By Kenneth Anshewitz | October 2, 2026 Training a biological model is expensive. You collect the data, clean it, choose an architecture, spend the compute, run the evaluations, and eventually get a model that makes predictions. In most workflows, almost everything that happened between the first training step and the final output becomes secondary. That may leave a lot of value on the table because a trained biological model is more than its final benchmark score. It also contains a training...