Exploiting Errors for Efficiency: A Survey from Circuits to Applications

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The ability of the brain to produce adaptive and dexterous movements relies on the seamless integration of sensory feedback into motor commands. Despite significant advances in motor neuroscience, critical gaps persist in understanding how proprioceptive a ...

Using locally available, unprocessed stones as construction material offers a promising solution to meet the modern construction industry's sustainability and low-carbon footprint requirements. Stone masonry construction typically depends on the expertise ...

Computational methods at the atomic scale based on machine learning have been a fruitful research field in the past decade by merging the advantages of classical and quantum mechanical approaches. While parts of the field are already reaching a mature stat ...

This paper presents a comprehensive framework for extracting georeferenced vehicle trajectories from high-altitude drone imagery, addressing key challenges in urban traffic monitoring and the limitations of traditional ground-based systems. Our approach in ...

Proof-carrying data (PCD) is a powerful cryptographic primitive that allows mutually distrustful parties to perform distributed computation in an efficiently verifiable manner. Real-world deployments of PCD have sparked keen interest within the applied com ...

Additive Manufacturing also commonly referred as 3D printing has been given a lot of interest lately. Market is growing exponentially and the aim for obtaining more complex and ready-to use parts is emerging. All the 3D printing processes consist in buildi ...

The landscape of computing is changing, thanks to the advent of modern networking equipment that allows machines to exchange information in as little as one microsecond. Such advancement has enabled microsecond-scale distributed computing, where entire dis ...

Laser-induced forward transfer (LIFT) technique is an emerging micro additive manufacturing (AM) technique that has been widely used to print a variety of materials. Distinguished from other nozzle-based AM techniques, LIFT operates without the existence o ...

Recently, remarkable progress has been made in the application of machine learning (ML) techniques (e.g., neural networks) to transformer fault diagnosis. However, the diagnostic processes employed by these techniques often suffer from a lack of interpreta ...

Optimum groundwater management is important for addressing the global challenges of water scarcity, especially in arid regions. This study demonstrates the application of synthetic data combined with seismic methods to quantify water volumes in a controlle ...

Multi-Scale computing systems aim at bringing the computing as close as possible to the data sources, to optimize both computation and networking. These systems are composed of at least three computing layers: the terminal layer, the edge layer, and the cl ...

We demonstrate extreme laser-induced modification confinement in a stack of dielectric layers, along the optical axis, without the use of tight focusing. Specifically, we show that an aperiodic distribution of layer thicknesses can effectively lead to the ...

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

A recent line of work in high-dimensional statistics working under the Gaussian mixture hypothesis has led to a number of results in the context of empirical risk minimization, Bayesian uncertainty quantification, separation of kernel methods and neural ne ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

The current advances in the Internet of Things (IoT) and the solutions being offered by this technology have accounted IoT among the top ten technologies that will transform the global economy by 2030. IoT is a state-of-the-art paradigm that has developed ...

Code-reuse attacks are dangerous threats that attracted the attention of the security community for years. These attacks aim at corrupting important control-flow transfers for taking control of a process without injecting code. Nowadays, the combinations o ...

Type systems are a device for verifying properties of programs without running them. Many programming languages used in the industry have always had a type system, while others were initially created without a type system and later adopted one, when the ad ...

Hydraulic fracturing (HF) treatments can form widespread fractures. Understanding their containment at depth is critical, given the positive buoyancy contrast between the fracturing fluid and the surrounding rock, promoting upward growth. We study arrest m ...

The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

Chattez avec Graph Search

Reverse engineering primate sensorimotor control with machine learning

Microstructure generation and modeling for digital construction of stone masonry walls

Mathematical Analysis and Optimization of Features for Atomistic Machine Learning

Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

Security Bounds for Proof-Carrying Data from Straightline Extractors

A hybrid Selective Laser Sintering based process for the additive manufacturing of architectured composites

Reliable Microsecond-Scale Distributed Computing

Laser-Induced Forward Transfer of Functional Microdevices

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model

Uncertainty quantification in groundwater volume predictions from seismic data using neural networks

Special Session: Challenges and Opportunities for Sustainable Multi-Scale Computing Systems

Single-Layer Subwavelength Femtosecond-Laser-Induced Confined Nanocrystallization in Multistack Dielectrics

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Universality laws for Gaussian mixtures in generalized linear models

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

A review of the security vulnerabilities and countermeasures in the Internet of Things solutions: A bright future for the Blockchain

WarpAttack: Bypassing CFI through Compiler-Introduced Double-Fetches

Formal Foundations of Capture Tracking

Arrest Mechanisms of Buoyant Hydraulic Fractures

Exploring High-Performance and Energy-Efficient Architectures for Edge AI-Enabled Applications