The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they're far from simple answer-generators; they can also express abstract concepts, such as ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...

Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Researchers reveal Prototaxites, a giant Devonian fossil, was not a fungus or plant but a unique extinct lineage.

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...