State (computer science) ≈ State (computer science)
View article
Carbon capture and storage (CCS): the way forward Open
Carbon capture and storage (CCS) is vital to climate change mitigation, and has application across the economy, in addition to facilitating atmospheric carbon dioxide removal resulting in emissions offsets and net negative emissions. This …
View article
LLaMA: Open and Efficient Foundation Language Models Open
We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train state-of-the-art models using publicly available datasets e…
View article
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Open
We present SpecAugment, a simple data augmentation method for speech\nrecognition. SpecAugment is applied directly to the feature inputs of a neural\nnetwork (i.e., filter bank coefficients). The augmentation policy consists of\nwarping th…
View article
Social LSTM: Human Trajectory Prediction in Crowded Spaces Open
Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path t…
View article
State-of-the-art in artificial neural network applications: A survey Open
This is a survey of neural network applications in the real-world scenario. It provides a taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of current and emerging trends in ANN applications research and a…
View article
Recent advances in physical reservoir computing: A review Open
Reservoir computing is a computational framework suited for temporal/sequential data processing. It is derived from several recurrent neural network models, including echo state networks and liquid state machines. A reservoir computing sys…
View article
Model Predictive Control for Power Converters and Drives: Advances and Trends Open
Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the curren…
View article
Complex heatmap visualization Open
Heatmap is a widely used statistical visualization method on matrix‐like data to reveal similar patterns shared by subsets of rows and columns. In the R programming language, there are many packages that make heatmaps. Among them, the Comp…
View article
LSTM Fully Convolutional Networks for Time Series Classification Open
Fully convolutional neural networks (FCN) have been shown to achieve\nstate-of-the-art performance on the task of classifying time series sequences.\nWe propose the augmentation of fully convolutional networks with long short\nterm memory …
View article
New horizons for inorganic solid state ion conductors Open
This critical review presents the state of the art research progress, proposes strategies to improve the conductivity of solid electrolytes, discusses the chemical and electrochemical stabilities, and uncovers future perspectives for solid…
View article
Weaponized Interdependence: How Global Economic Networks Shape State Coercion Open
Liberals claim that globalization has led to fragmentation and decentralized networks of power relations. This does not explain how states increasingly “weaponize interdependence” by leveraging global networks of informational and financia…
View article
Activation Functions: Comparison of trends in Practice and Research for Deep Learning Open
Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date. To achieve these state-of-the-art performances, the D…
View article
A survey on Internet of Things architectures Open
Internet of Things is a platform where every day devices become smarter, every day processing becomes intelligent, and every day communication becomes informative. While the Internet of Things is still seeking its own shape, its effects ha…
View article
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications Open
Reinforcement learning (RL) algorithms have been around for decades and employed to solve various sequential decision-making problems. These algorithms, however, have faced great challenges when dealing with high-dimensional environments. …
View article
Towards a consensus regarding global signal regression for resting state functional connectivity MRI Open
The number of resting state functional connectivity MRI studies continues to expand at a rapid rate along with the options for data processing. Of the processing options, few have generated as much controversy as global signal regression a…
View article
A Survey on Automatic Detection of Hate Speech in Text Open
The scientific study of hate speech, from a computer science point of view, is recent. This survey organizes and describes the current state of the field, providing a structured overview of previous approaches, including core algorithms, m…
View article
TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines Open
TrackMate is an automated tracking software used to analyze bioimages and is distributed as a Fiji plugin. Here, we introduce a new version of TrackMate. TrackMate 7 is built to address the broad spectrum of modern challenges researchers f…
View article
Digital Transformation: An Overview of the Current State of the Art of Research Open
The increasing digitalization of economies has highlighted the importance of digital transformation and how it can help businesses stay competitive in the market. However, disruptive changes not only occur at the company level; they also h…
View article
A Categorical Framework of Manufacturing for Industry 4.0 and Beyond Open
With rapid advancements in industry, technology and applications, many concepts have emerged in manufacturing. It is generally known that the far-sighted term ‘Industry 4.0’ was published to highlight a new industrial revolution. Many manu…
View article
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines Open
Visual tracking problem demands to efficiently perform robust classification and accurate target state estimation over a given target at the same time. Former methods have proposed various ways of target state estimation, yet few of them t…
View article
SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis Open
Finding and exploiting vulnerabilities in binary code is a challenging task. The lack of high-level, semantically rich information about data structures and control constructs makes the analysis of program properties harder to scale. Howev…
View article
TextBoxes: A Fast Text Detector with a Single Deep Neural Network Open
This paper presents an end-to-end trainable fast scene text detector, named TextBoxes, which detects scene text with both high accuracy and efficiency in a single network forward pass, involving no post-process except for a standard non-ma…
View article
Freedom Is a Constant Struggle: Ferguson, Palestine, and the Foundations of a Movement Open
This is a timely provocation that examines the concept of attaining freedom in light of our current world conflicts In these newly collected essays, interviews and speeches, world-renowned activist and scholar Angela Y. Davis illuminates t…
View article
Gemini: A Family of Highly Capable Multimodal Models Open
This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano sizes, suitable for applications …
View article
Tilting a ground-state reactivity landscape by vibrational strong coupling Open
Shaking up reaction-site selectivity It seems intuitive that putting vibrational energy into a chemical bond ought to promote selective cleavage of that bond. In fact, the relation of vibrational excitation to reactivity has generally prov…
View article
Convolutional networks for fast, energy-efficient neuromorphic computing Open
Significance Brain-inspired computing seeks to develop new technologies that solve real-world problems while remaining grounded in the physical requirements of energy, speed, and size. Meeting these challenges requires high-performing algo…
View article
Generating Adversarial Examples with Adversarial Networks Open
Deep neural networks (DNNs) have been found to be vulnerable to adversarial examples resulting from adding small-magnitude perturbations to inputs. Such adversarial examples can mislead DNNs to produce adversary-selected results. Different…
View article
Open Innovation: Research, Practices, and Policies Open
Open innovation is now a widely used concept in academia, business, and policy making. This article describes the state of open innovation at the intersection of research, practice, and policy. It discusses some key trends (e.g., digital t…
View article
Digital transformation in healthcare: Analyzing the current state-of-research Open
Digital transformation in healthcare is of increasing relevance for both scholars and practitioners in the field. Our article attempts to assess the research question how multiple stakeholders implement digital technologies for management …
View article
The State of Working America Open
The abstract, table of contents, and first twenty-five pages are published with permission from the Cornell University Press. For ordering information, please visit the Cornell University Press at http://www.cornellpress.cornell.edu/.