A host program, never the transmitter or the receiver, computes group tables per radio mode ("profile") and per regulatory region, and writes them as text tables that a build step compiles into firmware constants. The firmware contains no planning code and does no intermodulation arithmetic. Carriers have a centre and...
Anonymous· Zenodo (CERN European Organi...· 0 citations
In recent years, an important new class of applications has emerged that is characterized by its tight latency requirements. Examples of such latency-sensitive applications include autonomous driving, mobile augmented and virtual reality (AR/VR), online gaming, and the Internet of Things (IoT). These applications pose...
Bin Wang· ScholarWorks@UMassAmherst (U...· 0 citations
Single-layer diffractive neural networks often face classification accuracy bottlenecks due to limited wavefront modulation capabilities. Edge detection, as an optical image processing technique, extracts image contours and offers a promising way to simplify classification tasks. However, integrating edge detection and...
The preferential alignment of vorticity with the intermediate eigenvector of the strain-rate tensor is a robust small-scale feature of turbulence, usually described through stationary alignment distributions. We ask an instantaneous question: in which direction, and how strongly, do vortex stretching and the vorticity-...
Anonymous· Zenodo (CERN European Organi...· 1 citation
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Deutsch:Das Nexus Object-Driven Edge Protocol (Nexus-ODEP) ist ein universelles, quelloffenes Meta- und Rahmenprotokoll für eingebettete Systeme, das Internet der Dinge (IoT), Industrie 4.0 und die professionelle Veranstaltungstechnik. Nexus-ODEP bricht radikal mit dem traditionellen Prinzip des zentralisierten, kontin...
Michael Schultz· Zenodo (CERN European Organi...· 0 citations
Network-on-Chip (NoC) architectures have become a fundamental communication backbone for many-core processors, artificial intelligence accelerators, edge-computing platforms, and high-performance embedded systems. However, achieving efficient packet routing in large-scale NoCs remains challenging due to dynamic traffic...
sushmitha veeraragavan, R. Manjith· Scientific Reports· 0 citations
The proliferation of IoT devices and rapid advances in AI models demand low-latency inference over continuous sensory streams. In practice, deployment faces two coupled bottlenecks: limited compute and memory on edge devices, and constrained, time-varying wireless bandwidth when cloud assistance is required. Existing a...
Jin Huang· ScholarWorks@UMassAmherst (U...· 0 citations
This dissertation addresses the fundamental challenge of enabling machine learning intelligence on resource-constrained systems. These systems include embedded edge devices, mobile platforms, and robots operating under both on-device and cloud-based paradigms. The resource-constrained systems must perform low-latency,...
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