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2,851 papers
Das Spannungsfeld zwischen den etablierten Technologien der konnektionistischen KI und ihren neuromorphen Herausforderern rückt derzeit besonders durch den riesigen Energiebedarf ersterer und die sparsame Funktionsweise letzterer immer stärker in das Rampenlicht. Der Energieverbrauch für Entwicklung und Einsatz großer...
The rapid expansion of fifth-generation 5G wireless networks has significantly increased the attack surface available to adversaries who seek to disrupt critical communication infrastructure. Traditional centralized intrusion detection systems expose raw user data to a central server, creating unacceptable privacy risk...
Climate change, increasing food demand, and resource constraints are accelerating the transition from conventional precision agriculture toward smart, autonomous, and climate-resilient agricultural systems. Artificial intelligence (AI), foundation models, digital twins (DTs), the Internet of Things (IoT), remote sensin...
# CD-STHGN: Causally Disentangled Supply-chain Temporal Heterogeneous Graph Network A reference implementation and dataset release for green innovation driven digital transformation in Chinese A-share manufacturing supply chains, 2011-2023. [](LICENSE)[!...
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Automatic dubbing systems now produce intelligible speech, but professional subtitling and dubbing remain constrained by three problems that are seldom addressed together. Expressive delivery has to be directed by people who read the picture; profane or censorable content has to obey rules that differ by country and de...
User-side electricity consumption data form the basis for various AI-based applications in active distribution networks and are with significant commercial value. However, as user-owned digital assets, these diverse data often exhibit heterogeneous quality and raise privacy concerns, making their acquisition and tradin...
Multimodal applications such as educational assistants and medical diagnosis demand high concurrency and low latency, and are increasingly served by edge inference enhanced with Retrieval-Augmented Generation (RAG). However, heterogeneous multimodal models and fragmented edge resources couple three problems that prior...
Quantum computing (QC) emulation is critical for exploring and advancing near-term quantum algorithms, given the ongoing scalability and reliability challenges of quantum hardware. While FPGA-based QC emulators have emerged as efficient alternatives to bridge the gap toward practical quantum computers, most existing so...
As a key 5G enabler, edge computing locates resources near users to enable low-latency services, and microservices architecture (MSA) decomposes monolithic services into microservices, easing deployment and scaling of mission-critical applications with high reliability requirements. Existing studies on microservice bac...
The convergence of the Internet of Medical Things (IoMT), advanced communication technologies, and biomedical engineering has advanced intelligent, connected healthcare. This comprehensive survey investigates the evolution of IoMT architectures and communication protocols, along with their application across a range of...
Dermoscopy is a widely adopted, non-invasive imaging technique that plays a crucial role in the early detection and clinical assessment of skin lesions (1). Its effectiveness, however, depends on the quality of the acquired images. In clinical practice, dermoscopic images often contain visual artifacts, such as hair, r...
Abstract We present a comprehensive observational study of seven eclipsing binaries composed of massive and intermediate-mass components. Combining ground-based spectroscopy and space photometry of target stars, we compute precise physical parameters of these systems and investigate pulsational properties of the compon...
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
A Blog post by Liquid AI on Hugging Face
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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