For 6G telecommunications, there needs to be a paradigm shift in public safety. This chapter introduces a methodological approach to proactive, intelligence-based policing, as a strategy that is able to address new threats such as quantum computing and advanced malware that pose problems to traditional reactive policin...
Gul Shaira Banu Jahangeer, Bhavesh Santoshkumar Tupe, Sarah Altowairqi et al.· Advances in wireless technol...· 0 citations
Rising natural calamities demand intelligent disaster management beyond traditional reactive methods. IoT-ML integration revolutionizes this by enabling real-time environmental monitoring via sensors, drones, and satellites tracking temperature, humidity, air quality, seismic activity, and water levels. ML algorithms—d...
PipeGNN is proposed, a bandwidth-efficient GNN accelerator whose streaming microarchitecture sustains this dataflow as a fully concurrent pipeline within a fixed on-chip buffer budget, and resolves four coupled microarchitectural barriers through coordinated mechanisms.
Shi Chen, Jun-Sheng Chang, Yang Guo et al.· ACM Transactions on Architec...· 0 citations
Urban areas face severe traffic congestion, pollution, and economic losses from rising populations and vehicle density. Traditional fixed-timing controls fail under dynamic conditions. IoT-ML integration enables smart city dynamic routing. IoT sensors, GPS, and connected vehicles provide real-time traffic data. ML tech...
Shamshad Ahmed Khan, Faiz Ahmed Khan, Ram Om Sai Chethana· Computing, Communication, an...· 0 citations
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A prototype reference architecture for emotion-adaptive music playback that integrates three artificial-intelligence components: MobileNetV3-based facial emotion recognition (FER) for low-compute mood sensing, CNN/Transformer-based music emotion recognition (MER) for song affect representation, and a hybrid context-awa...
O. Johnson, G. U. Nwamuruamu· Asian Journal of Research in...· 0 citations
Industrial time-series data analysis poses significant challenges due to multichannel sensor inputs, complex temporal dependencies, and strong dynamic variability. While large generative models (LGMs) can process temporal information effectively, their reliance on large training datasets and substantial computational p...
Zi-Chen Wang, Yi-Qun Zhu· IEEE Transactions on Systems...· 0 citations
Early and automated identification of valvular heart diseases (VHDs) using phonocardiogram (PCG) signals provides a cost-effective solution for developing intelligent healthcare applications. In this letter, a lightweight deep convolutional neural network, LWHSNet, implemented on a field programmable gate array (FPGA)-...
R. Tripathy, S. Sahoo, R. B. Pachori· IEEE Sensors Letters· 0 citations
This technical data package establishes the engineering blueprints, economic integration thesis, and provisional utility patent specifications for the Lawrence Aero Brick Solid-State Transformer (LAB-SST). The LAB-SST is a zero-silicon, plasma-state power transformation architecture that replaces physical Silicon Carbi...
Charles Clark Lawrence· Zenodo (CERN European Organi...· 0 citations
Abstract Wearable devices (WDs) are becoming an important platform for mobile intelligent services, but their limited battery capacity and computing power make continuous local inference difficult. Existing MEC offloading methods often assume fixed edge association or jointly optimize all offloading variables in a sing...
Transformation without loss Residual cohomology of token-configuration arenas under change of substrate, symmetry, and admissibility Driven by Dean A. Kulik September 2026 Lead-in Put some indistinguishable tokens on the vertices of a finite graph, one per vertex, and let a token step to an empty neighbour. That is the...
Dean Kulik· Zenodo (CERN European Organi...· 0 citations
A comprehensive conceptual engineering design specification for a next-generation foiling vessel architecture. The Gen-X system transitions marine transport from rigid mechanical structures to an integrated biomimetic platform. By unifying an indestructible, optically linked carbon nanotube (CNT) triple-core computing...
David Michael Seagal· Zenodo (CERN European Organi...· 0 citations
Photonic logic gates, essential for next-generation photon computing, are currently hindered by limited dynamic control, high power consumption, and architectural complexity. Here, we demonstrate a non-volatile, reconfigurable optoelectronic logic device based on a van der Waals heterostructure of ferroelectric α-In₂Se...
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
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…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
