Pioneering biostatistician and infectious disease expert Dr. Elizabeth Halloran recently transitioned to emerita after a ...
Fueled by artificial intelligence (AI) algorithms, various AI embodiments, such as autonomous vehicles, robotic manipulators, and humanoid robots, have made significant advances yet remain far from ...
A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...
In this tutorial, we demonstrate how to build an advanced yet accessible Bioinformatics AI Agent using Biopython and popular Python libraries, designed to run seamlessly in Google Colab. By combining ...
Section 1. Purpose and Policy. America has long led the world in innovation, technological advancement, and design. But with a sprawling ecosystem of digital services offered to Americans, the ...
In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...
The Integrative Bioinformatics section is dedicated to publishing research focused on advancing the understanding and application of integrative bioinformatics in life sciences. This Topic brings ...
TracePy is a sequential ray tracing package written in Python 3 for designing optical systems in the geometric optics regime. It features lens optimization from Scipy. To use TracePy you can either ...
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