Key market opportunities in the antibody optimization service industry include addressing rising chronic and complex diseases ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Abstract: Topology optimization is a powerful and well-established tool for generating optimal structural designs. Unlike the sizing and shape optimization approaches that preceded it, this method ...

Our research area encompasses the study of computation, computational models, computational complexity, algorithm design, algorithm verification, combinatorial optimization, computational biology and ...

A new technical paper titled “The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization” was ...

We study competitive economy equilibrium computation. We show that, for the first time, the equilibrium sets of the following two markets: 1. A mixed Fisher and Arrow-Debreu market with homogeneous ...

As enterprises seek alternatives to concentrated GPU markets, demonstrations of production-grade performance with diverse ...

Knowledge-based economies are increasingly built on data-driven intelligence rather than traditional capital or labor alone.

The stability in L∞-norm is considered for the Ritz-Volterra projection and some applications are presented in this paper. As a result, point-wise error estimates ...