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 possible variants—more combinations than atoms in the observable universe.

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel have developed a new method that significantly improves how artificial ...

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

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Social mammals are wildly diverse, given that they can be found across all habitats and species. However, a new line of ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

This video is a tutorial on how to enter diagnostic mode on a Whirlpool or Maytag washer with this style console, as its different than other styles on the market, with a VASTLY different ...

Abstract: Generative artificial intelligence has become the focus of the intelligent education field, especially in the generation of personalized learning resources. Current learning resource ...

Machine learning is no longer limited to research labs or big tech companies. It has become part of everyday life. Be it the recommendation systems on shopping apps, face unlock on phones, fraud ...