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 ...

Computational lithography and mask optimization techniques are at the forefront of enabling the semiconductor industry's continued miniaturisation of integrated circuits. This field encompasses ...

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 ...

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 ...

Computation itself cannot be securitized. Only claims on future revenues derived from computation can be. Those claims ...

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