Abstract The modeling of binary microlensing light curves via the standard sampling-based method can be challenging, because time-consuming light-curve computation and pathological likelihood landscape in high-dimensional parameter space. In this work, we present MAGIC, which is a machine-learning framework to efficiently accurately infer parameters events with realistic data quality. are divid...

Over-the-air computation (AirComp) is a disruptive technique for fast wireless data aggregation in Internet of Things (IoT) networks via exploiting the waveform superposition property multiple-access channels. However, performance AirComp bottlenecked by worst channel condition among all links between IoT devices and access point. In this paper, reconfigurable intelligent surface (RIS) assisted...

Over the past several decades dramatic increase in availability of computational resources, coupled with maturation machine learning, has profoundly impacted sensor technology. In this Perspective, we discuss sensing a focus on intelligent system design. By leveraging inverse design and learning techniques, data acquisition hardware can be fundamentally redesigned to ‘lock-in’ optimal respect u...

As a searching algorithm of global optimization, evolutionary computation has become a key technology of intelligent computation. This paper mainly discusses the present status and future developments in the applications of evolutionary computation in filtering information on web pages, including texts, images, audios and videos, etc. It is necessary to note that combining evolutionary computat...

The concept of computation, as well as the related concepts algorithm, Turing machine, computability, and computational complexity, correspond to a specific mode of using computers to solve problems. This computational mode assumes the sufficiency of knowledge and resources with respect to the problem to be solved. From the view point of Artificial Intelligence, an intelligent mode of problem s...

Microprocessors and memory systems suuer from a growing gap in performance. We introduce Active Pages, a computation model which addresses this gap by shifting data-intensive computations to the memory system. An Active Page consists of a page of data and a set of associated functions which can operate upon that data. We describe an implementation of Active Pages on RADram (Reconngurable Archit...

Intelligent presentation of data requires exibility of expression based on user needs and data content, both of which evolve. This exibility is not ooered by the current generation of database management systems. To address this problem systematically we are developing editing tools to quickly build intelligent, user-tailored presentation systems for databases. Our presentation systems are call...

The Ki/o Kiosk Project is a research effort to explore the potential applications for embedding computation in informal public spaces, such as hallways, building lobbies, and break areas. By deploying a prototype kiosk network, the ki/o Project identified challenges, requirements, and design criteria for designing kiosk Intelligent Environments, and fielded community reactions to the system. Th...