The next generation of particle physics experiments will face an era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing these data for scientific discovery demands real-time inference and decision-making, intelligent dat...
Julia Gonski, Jenni Ott, Shiva Abbaszadeh et al.· PRX Intelligence· 0 citations
Abstract Current Managed Pressure Drilling (MPD) systems rely heavily on operator interpretation, rule-based automation, and reactive responses to wellbore events, approaches fundamentally limited by human response times, static control algorithms, and inability to learn from operational experience. This paper introduc...
S. Rostami· SPE Annual Technical Confere...· 0 citations
The emergence of data-hungry systems in the form of artificial intelligence, real-time signal processing, and scientific computing systems inside embedded systems has set extremely high requirements to the computational capabilities, electrical energy efficiency and flexibility. The computational backbone of many of th...
Moti Ranjan Tandi, M. Sathish Kumar· SCCTS Journal of Embedded Sy...· 0 citations
This entry presents Theophylline (C7H8N4O2; CAS 58-55-9; PubChem CID 2153) as a 3D-printable ball-and-stick model in which every atom carries its engraved element symbol (C, H, N, O), so the model can be read without a colour key. Atomic coordinates come from the PubChem-computed 3D conformer (not an experimental cryst...
MolGod.org· Zenodo (CERN European Organi...· 0 citations
Serving large language models (LLMs) on commodity edge and enterprise accelerators is fundamentally constrained by high-bandwidth device memory capacity. Existing parameter offloading solutions either mandate intrusive model code refactoring and custom computational kernel integration, or suffer from severe pipeline st...
Shotaro Takahashi· Zenodo (CERN European Organi...· 0 citations
Modern communication networks are experiencing a rapid transformation driven by the exponential growth of data traffic, the growing number of latency-sensitive applications, and the integration of heterogeneous computing and communication resources. Applications such as Large-Language Models (LLMs), real-time video ana...
Mounir Bensalem· LeoPARD - TU Braunschweig Pu...· 0 citations
The basics of quantum computing will be discussed. The introduction to different types of computing environments will be done. The concept of qubits will be introduced and compared with bits. The concepts of superposition and quantum entanglement will be discussed. The application of Shor’s and Grover’s algorithm will...
Shashidhar Ram Joshi· Proceedings of International...· 0 citations
Ushbu maqolada chegaraviy hisoblashlar (Edge Computing), hisoblashlarni yuklash (Computational Offloading) va blokcheyn texnologiyalarining o‘zaro integratsiyasi hamda ushbu yo‘nalishdagi mavjud tadqiqotlar tahlil qilinadi. Dastlab chegaraviy hisoblashlar, hisoblashlarni yuklash va blokcheyn texnologiyasining asosiy xu...
Abstract. Predicting and avoiding critical load events is crucial for the reliable autonomous operation of airborne wind energy (AWE) systems. Such events can lead to actuator saturation, loss of steering authority, and increased structural stresses, eventually resulting in long-term degradation of the kite, tether, an...
Monika Pasquali, Oriol Cayon, Spilios Theodoulis et al.· Wind Energy Science Discussi...· 0 citations
The fusion of multi-source remote sensing data and deep learning technology has been increasingly applied in precision agriculture. This review focuses on the perception–decision–execution framework and summarizes the current application status, technical routes, and development trends of multi-source remote sensing da...
Zhen Ma, Xi-Yuan Chen, Cun-Deng Wang· Italian National Conference...· 0 citations
We develop a centre-first framework for constructing and controlling ambient algebraic objects from a prescribed central object and additional peripheral data. For associative algebras the basic datum is a central map \(C\to A\), not merely the ordinary centre \(Z(A)\). We distinguish central actions, faithful central...
Kianming(Jianming) Wang· Zenodo (CERN European Organi...· 0 citations
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
