AI and Cloud Computing Services
Meet your business challenges head on with AI and cloud computing services from Google, including security, data management, and hybrid & multi-cloud.
Meet your business challenges head on with AI and cloud computing services from Google, including security, data management, and hybrid & multi-cloud.
Si tu empresa tiene dificultades, plántales cara con los servicios de IA y cloud computing de Google, como la seguridad, la gestión de datos o los entornos multinube y de nube híbrida, entre otros.
Meet your business challenges head on with AI and cloud computing services from Google, including security, data management, and hybrid & multi-cloud.
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
With the rapid development of vehicular networks, various applications that require high computation resources have emerged. To efficiently execute these applications, vehicular edge computing (VEC) can be employed. VEC offloads the computation tasks...
Many types of geospatial analyses are computationally complex, involving, for example, solution processes that require numerous iterations or combinatorial comparisons. This complexity has motivated the application of high performance computing (HPC)...
Real-time computing (RTC) is the computer science term for hardware and software systems subject to a "real-time constraint", for example from event to
Reversible logic has promising applications in emerging nanotechnologies, such as quantum computing, quantum dot cellular automata and optical computing, etc. Faults in reversible logic circuits that result in multi-bit error at the outputs are very...
Points: 1 | Comments: 0 | Author: gentro
I was already kind of aware of ternary computing as a novelty, but with binary being the overwhelming standard, never paid much attention. Now that Huawei's new ternary chips are hitting the market, ...
In this work, we present a hybrid memory bit cell - collocated SRAM and DRAM (CRAM) consisting of 11 transistors for in-memory computing (IMC) based image restoration (IR) and region proposal (RP). A robust RP updated algorithm is proposed to improve...
The world has witnessed rapid technological transformation, past couple of decades and with Advent of Cloud computing the landscape evolved exponentially leading to efficient and scalable application development. Now, the past couple of years the dig...
The goal of this paper is to introduce building blocks for adiabatic quantum algorithms. Adiabatic quantum computing uses the principle of quantum annealing, which implies that a carefully controlled energy solution is optimal and corresponds to mini...
In this paper, we consider a multi-user mobile edge computing (MEC) network powered by wireless power transfer (WPT), where each energy-harvesting WD follows a binary computation offloading policy, i.e., data set of a task has to be executed as a who...
- Microsoft has created a new quantum chip called Majorana 1 that could change computing - Google also introduced a quantum chip called Willow - Microsoft's chip uses Majorana fermions for stability, ...
Data collection and processing in advanced health monitoring systems are experiencing revolutionary change. In-Sensor Computing (ISC) systems emerge as a promising alternative to save energy on massive data transmission, analog-to-digital conversion,...
The cloud computing is evolving as a key computing platform for sharing resources like infrastructure, platform, software etc. This has proven to be an essential requirement for extending many existing applications. Software as a service (SaaS) is re...
We present an algorithm for explicitly computing the categorical (Drinfeld) center of a pivotal fusion category. Our approach is based on decomposing the images of simple objects under the induction functor from the category to its center. We have im...
The Single Transferable Vote (STV) is a system of preferential voting employed in multi-seat elections. Each vote cast by a voter is a (potentially partial) ranking over a set of candidates. No techniques currently exist for computing the margin of v...
For a given polygonal region $P$, the Lawn Mowing Problem (LMP) asks for a shortest tour $T$ that gets within Euclidean distance 1 of every point in $P$; this is equivalent to computing a shortest tour for a unit-disk cutter $C$ that covers all of $P...