AutoNorm™ adaptive amplification technology to lower throughput sequencing workflows. The system monitors each well in real time and stops amplification individually at a user defined endpoint, ...

Abstract: This paper proposes an adaptive sampling technique for spherical near-field (SNF) antenna measurements that leverages the predictive uncertainty of Gaussian process regression (GPR) to guide ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...

While “unprecedented change” is by now the default description of the artificial intelligence (AI) era, disruption is hardly new. Organizations have long faced technological, economic, and social ...

In cities across the world, the relics of industrial production have become the laboratories of a new urban condition. Warehouses, power plants, and shipyards, once symbols of labor and progress, now ...

Business isn’t predictive. In a world where trade wars and tariffs have 80% of senior executives worried about what comes next, predicting the future is getting harder by the day. During my time ...

Adaptive reuse is shifting from simple preservation to active revitalization, a process of structurally rescuing and reprogramming architectural typologies whose original functions are no longer ...

Advances in plant imaging and computer vision have transformed agriculture and biology by enabling continuous and objective trait quantification. However, monitoring large plant populations or ...

This repository contains the official implementation for Reinforce-Ada with Tinker, an adaptive sampling framework designed to resolve the ``signal collapse'' problem in Reinforce-style algorithm with ...