The following material supports the article Agentic Mission Orchestration for Agricultural Robots: Coupling Agronomic Validity, Edge AI Reliability, and Data Governance, submitted to Precision Agriculture (Springer Nature). This deposit corresponds to the first revision (R1) of the manuscript and supersedes the materia...
Massimo Vecchio, Miguel Pincheira, Mattia Antonini et al.· Zenodo (CERN European Organi...· 0 citations
A safety-oriented architectural framework that constrains how AI-enabled functions may be integrated into fail-operational by-wire systems and clarifies trade-offs among safety isolation, latency, and AI performance while preserving braking safety guarantees under continuous software evolution is proposed.
Soumyasudharsan Srinivasaraghavan· SAE technical paper series· 0 citations
Near-infrared (NIR) imaging is essential for biological and materials sensing, yet high-performance NIR detectors are often cost-prohibitive and plagued by high dark current. Nonlinear frequency upconversion offers a compelling solution by shifting NIR signals into the visible spectrum, allowing the use of mature silic...
Meng-Zi Yin, Hong Wang, Ming-Wen Zhang et al.· Applied Physics Letters· 0 citations
This review systematically examines recent progress in AI-enabled energy management strategies for self-powered flexible electronic systems and categorizes AI integration across three key dimensions: at the algorithmic level, predictive models and reinforcement learning enable dynamic power allocation and coordinate mu...
Correction notice (v1.3). This version withdraws a claim. Through v1.2 the Discussion stated that this paper “completes part (ii)(a) for d=2” of the master conjecture of the Sakai stratification (10.5281/zenodo.20694840). Part (ii)(a) concerns the Edge–Borel coefficient, a different object from the connection coefficie...
Papanokechi· Zenodo (CERN European Organi...· 0 citations
The probabilistic cloud state machine (PCSM) theory [1] formalises the classical control layer of quantum computing as a geometric model over the space of stable probability distributions. This paper reports the full implementation path from that theory to a usable Python programming interface, together with real-hardw...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
HoliBench is presented, a modular benchmarking and deployment toolkit that jointly characterizes accuracy, latency, and energy across platforms from single-board computers to GPU servers and is released as open-source infrastructure for deployment-aware evaluation of foundation models.
Inesh Chakrabarti, Ze-Jun Xiong, Pragya Sharma et al.· 0 citations
This work develops time and energy roofline characterizations for Orin AGX across power modes, coupled with analytical models of compute and memory for DNN inference, and extends these models to DNN training, and demonstrates power-mode tuning that achieves up to \(15\%\) lower energy with small inference-time impact f...
P. K, Kunal Kumar Sahoo, Amartya Ranjan Saikia et al.· Proceedings of the Internati...· 0 citations
QMScaler is proposed, a QoS-driven microservice horizontal scaling framework based on Monte Carlo Tree Search (MCTS) that aims to minimize the number of container instances while meeting the QoS requirements of multiple application functions.
Tianyang Zheng, Pengfei Yang, Zhe Xu et al.· Proceedings of the Internati...· 0 citations
A fine-grained GPU parallelization approach that adapts to workload characteristics by assigning set intersection computations within a graph to the most suitable parallelization strategies, and predicts the optimal parallelization approach between this fine-grained and other state-of-the-art GPU kernels with 88% accur...
Atharva Gondhalekar, Wu-Chun Feng· Proceedings of the Internati...· 0 citations
Overall, when evaluating both Chapel and MPI+X implementations of partitioned Jaccard similarity on up to 16 A100-80GB GPUs across four nodes, Chapel achieves comparable performance to MPI+X while also delivering significantly better programmer productivity and agility.
Paul Sathre, Wu-Chun Feng· Proceedings of the Internati...· 0 citations
The Dual-Stage Spiking Swin Transformer (D2S-SwinT), a neuromorphic architecture that integrates the feature representation capability of Swin Transformers with the event-driven efficiency of brain-inspired computation, is proposed, a neuromorphic architecture that integrates the feature representation capability of Sw...
Hong-Jiang Deng, Wen-Hua Hu, Hao-Hui Peng et al.· Proceedings of the Internati...· 0 citations
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
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.
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