Different methods have been suggested to solve the critical limitations encountered in the Von Neumann architecture: the continuous transfer of data between the memory and the processing units, leading to an increase in energy consumption and latency. This paper presents a digital design of multiply-accumulation (MAC)...
Reine Sabrina Ciella Bigirimana, Mapalo Kateka, Alson Chikengezha et al.· Emerging Trends in Smart Com...· 0 citations
Finance has gone through decades under the guidance of efficient market hypothesis and rational pricing model, but has encountered profound challenges in the face of financial crises and market anomalies: irrational fluctuations in asset prices, herding effects, foam and crashes, exposing the mechanical limitations of...
Huilin Zhao· Zenodo (CERN European Organi...· 0 citations
DS-RangeNet is introduced, a lightweight range image network that processes geometry and material-sensitive intensity in separate streams that handles shallow fusion and weak similarity after separate encoding and progressively stronger alignment during fusion.
Wen-Guang Li, Ji-Ying Ren, Jin-Shun Ou et al.· Electronics· 0 citations
Continuous ingestion of high-dimensional telemetry forces predictive networks into a severe space-time trade-off, where conventional outlier rejection algorithms dilute mathematical gradients with benign idle data and induce thermal throttling on local hardware. This study introduces an $\mathcal{O}(d)$ ternary quantiz...
An edge computing-enabled optimal control method is proposed for low-voltage distribution networks organized as distribution transformer clusters (DTCs) that reduces overvoltage occurrences in TQ1 by 81.0% and eliminates undervoltage occurrences under four PV scenarios with SOP-based balancing.
Under the 132 Hz driving tone, the 240 E8 root vectors exhibit a phi‑symmetric eigenvalue flow that simultaneously creates two interlocking sets of topological edge modes on the {5,3,4} hyperbolic lattice. These edge modes lock into a hierarchical cascade where each level amplifies the next by the golden ratio, effecti...
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
Settlement layer, full annual accessibility panel, motorway access points, 2025 rail cross-section and NUTS-3 aggregates underlying the article "Spatial inequalities in motorway accessibility across Europe: a settlement-level panel, 2010–2025" (under review). Road distance and travel time from 282,870 settlements in th...
Anonymised for double-blind review· Zenodo (CERN European Organi...· 0 citations
Quantum Max Cut (QMC) problem for systems of qubits is an example of a 2-local Hamiltonian problem, and a prominent paradigm in computational complexity theory. This paper investigates the algebraic structure of a higher-dimensional analog of the QMC problem for systems of qudits. The Quantum Max d -Cut ( d -QMC) probl...
Igor Klep, Tea Štrekelj, Jurij Volčič· Quantum· 0 citations
Abstract Neurosymbolic AI and Zero Trust Architecture (ZTA) are increasingly proposed together as a combined approach to securing cloud-edge IoT continuums in federal and critical infrastructure sectors, on the premise that neurosymbolic systems can supply the explainable, robust threat detection that continuous-verifi...
Michel Brumley· Zenodo (CERN European Organi...· 0 citations
L-shaped SFT is presented, a split fine-tuning framework that removes the need for continuous client participation and introduces one-shot SFT, in which clients upload activations once and then go offline while the server continues optimization over cached representations.
This work proposes CAPSUM, a capacity-aware admission policy with an elastic specialization, CAPSUM-E, and implements an exact local offline dynamic program and compares against direct common-model baselines and documented source-derived adapters for EDP-A, OREO, and uEDC-L.
Hailiang Zhao, Zi-Qi Wang, Yi-Fei Zhang et al.· 0 citations
This work proposes CoSMO (Co-design of Semantic-state Management and Offloading), a cooperative event-driven reinforcement learning (RL) framework that coordinates semantic status management and selective offloading through realized task utility.
Jianpeng Qi, Qiyang Zhang, Chao Liu et al.· 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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
