It is argued that AI-ML integration improves productivity in agriculture in terms of crop yield prediction, disease prediction and optimization of resources, amongst others, and a comprehensive strategy for future work in designing sustainable agrifood systems is proposed.
Anita Veerappa Karkikatti, R. H. Goudar, Vijayalaxmi N. Rathod et al.· Discover Artificial Intellig...· 0 citations
Scalability analysis demonstrates that the proposed Post-Quantum Probabilistic Hidden-State Deep Learning framework, evaluated with run on IoT networks with over 1000 nodes, exhibits significant performance.
T. G. Keshavamurthy, S. Guruprasad, K. Hareesh et al.· Discover Artificial Intellig...· 0 citations
This study demonstrates the efficacy of the synergy between federated learning and edge computing in IoT security contexts, providing a scalable and privacy-centric solution for anomaly detection across large-scale distributed devices.
Quan Liu, Yuanyuan Feng· Discover Artificial Intellig...· 0 citations
Post-training alignment is often shallow, eroding under fine-tuning. It remains untested as to whether constitutional midtraining interventions can produce durable alignment when cleanly isolated from post-training. We build a 394M-token constitutional corpus from Anthropic's Constitution and apply constitutional midtr...
D. Cho, Cameron Tice, Bernie Hogan et al.· arXiv.org· 3 citations
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The first $poly(\Delta,\log n)-round algorithm for $(\Delta + 1)$-edge coloring in the CONGEST model is presented and the $n$-dependency of its runtime, $\tilde{O}(\log^5 n)$, matches the best published dependency in the LOCAL model.
Sebastian Brandt, Ananth Narayanan, Alexandre Nolin· 0 citations
The Ramsey number $R(m,n)$ is the smallest order at which every red-blue edge coloring of a complete graph must contain a blue clique (a complete subgraph) of size $m$ or a red clique of size $n$. Determining these numbers exactly is extremely hard, and even certifying a lower bound requires exhibiting an explicit colo...
Stefano Coniglio, Fabio Furini, I. Ljubić et al.· 0 citations
Experimental results demonstrate that the proposed sequential pipeline preserves high specificity while reducing missed detections compared to radar-only processing and indicates that sequential processing can offer a viable alternative to parallel fusion for edge-based drone detection under SNR and computing constrain...
Faizal Mohd Amin Sharifuldin, N. E. Abdul Rashid, M. A. Md Ali et al.· Sensing and Imaging· 0 citations
The proposed rigid motion artifact correction algorithm demonstrates good performance in estimating motion trajectories and compensating for image artifacts, thus providing a viable and robust solution for suppressing rigid motion artifacts in clinical CBCT imaging.
Hao Jiang, Yongbo Wang, Z. Bian· Nan fang yi ke da xue xue ba...· 0 citations
Опрокидывание стреловых самоходных кранов сохраняет положение одного из наиболее тяжёлых по последствиям отказов на строительных площадках. Штатный ограничитель грузового момента настраивается по паспортной грузовой характеристике для горизонтальной опорной площадки и не воспринимает ни фактический угол наклона опорног...
Владимир Алексеевич Вяткин, Данис Айратович Сафин, Олег Антонович Сидоренко et al.· Stroitelʹnye i dorožnye maši...· 0 citations
Настройка силового контура фронтального погрузчика на площадке с несколькими штабелями остаётся ручной, из-за чего одна и та же машина работает на песке и на разборно-скальном грунте с одинаковыми уставками подачи и тяги. Действующие стандарты описывают результат черпания геометрически: вместимость ковша рассчитывается...
Михаил Валерьевич Митякин· Stroitelʹnye i dorožnye maši...· 0 citations
This paper introduced an Intelligent Portable Edge – Cloud Computing Architecture (IPECA) that combines the portable computing hardware, AI-based workload prediction, adaptive resource optimization, container-based virtualization and secure edge-cloud collaboration into a single computing architecture.
Pradeep Kachakayala, Akshith Kachakayala· International Journal for Re...· 0 citations
This review aims to examine how AI can help optical sensors overcome major barriers limiting their adoption in clinical settings and to identify the major barriers limiting their adoption in clinical settings.
Siyi Zeng, Haoyu Li, Guoliang Ying et al.· Translational Medical Engine...· 0 citations
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
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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