We study the impact that persistent memory has on the classical rendezvous problem of two mobile computational entities, called robots, in the plane. It is well known that, without additional assumptions, rendezvous is impossible if the entities are oblivious (i.e., have no persistent memory) even if the system is semi-synchronous (SSynch). It has been recently shown that rendezvous is possible...

We study the impact that persistent memory has on the classical rendezvous problem of two mobile computational entities, called robots, in the plane. It is well known that, without additional assumptions, rendezvous is impossible if the entities are oblivious (i.e., have no persistent memory) even if the system is semi-synchronous (SSynch). It has been recently shown that rendezvous is possible...

In this paper we present the design of a sequence machine, a finite state automaton that can learn and predict sequences of symbols, built out of a network of asynchronous spiking neurons. We concentrate on aspects of building synchronous systems out of asynchronous neural components, such as stability and coherence of spike bursts forming symbols.

A tool called MEAT is presented which automatically synthesizes transistor level, CMOS, asynchronous control circuits from nite state machine based speci cations. MEAT has been used to synthesize the control circuits for an asynchronous 300,000 transistor communication coprocessor. Keyword Codes: B.6.1; B.6.3; B.7.2

The out-of-step operation conditions of a synchronous machine may occur as a result of a power system three-phase fault. The mostly used methods of identification of loss of synchronism are not secure enough. In the paper a new method using highresolution spectrum estimation method is presented. In the case of asynchronous operation of a synchronous machine the current waveform in the stator wi...

Recently, random access protocols have acquired a new wave of interest, not only from the satellite communication community, but also from researchers active in fields like Internet of Things and machine-to-machine. Asynchronous (slotand frame-wise) ALOHA-like random access protocols, are very attractive for such applications, enabling low complexity transmitters and avoiding time synchronizati...

Distributed machine learning has gained much attention due to recent proliferation of large scale learning problems. Designing a high-performance framework poses many challenges and opportunities for system engineers. This paper presents a novel architecture for solving distributed learning problems in framework of data parallelism where model replicas are trained over multiple worker nodes. Wo...

Asynchronous programs in JavaScript using callbacks and promises are di cultto write correctly. Many programs have subtle errors due to the unwantedinteraction of event handlers. To x such errors, the programmer is burdenedwith explicit registration and de-registration of event handlers. This producesfragile code which is di cult to read and maintain.Arrows, a generalization...

This paper examines the dynamic fault behavior of asynchronous sequential machines, specifically identifying the faults which cause critical races and hazards, and presents a state assignment technique leading to a machine that enters one of a small set of error states whenever a fault occurs. Entry into an error state can be checked by very simple check circuits; a self-testing check circuit a...

The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation. Traditionally, the NMT decoders adopt recurrent neural networks (RNNs) to perform translation in a left-toright manner, leaving the target-side contexts generated from right to left unexploited during translation. In this paper, we equip the conventional attentional en...