This thesis presents a novel, cost-effective, and non-invasive approach to next-generation head imaging systems for telemedicine applications. Current imaging technologies—such as CT scans, MRI, EEG, and X-rays—face significant challenges including high cost, invasive procedures, bulky equipment, radiation exposure, an...
ZenFlex and Mtwo were the most effective in preserving dentin, supporting the concept of minimally invasive endodontics, and ZenFlex and E-FLEX EDGE demonstrated favorable shaping performance, with ZenFlex maintaining canal anatomy and E-FLEX EDGE exhibiting excellent centering ability.
Panupat Phumpatrakom, Awiruth Klaisiri, Purin Suriyakraingkai et al.· European Journal of General...· 0 citations
ROTOR (Rotational Orientation Token Organization & Recall) is an attention-free, non-abelian geometric sequence architecture designed and invented by Prannessh K.V.A. ROTOR eliminates the quadratic O(N × M) compute and memory bottleneck of Transformer Cross-Attention by accumulating incoming context streams into indepe...
K. V. A. Prannessh· Zenodo (CERN European Organi...· 0 citations
Since the establishment of von Neumann and Nash's concept of equilibrium, game theory has become a universal language in economics and social sciences. However, classical game theory is deeply rooted in the mechanistic worldview, and its deterministic assumptions, static equilibrium, and individualistic methodology are...
Huilin Zhao· Zenodo (CERN European Organi...· 0 citations
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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
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...
The current paradigm of frontier AI continues to yield significant value, but as compute scaling faces potentially diminishing returns, future AI progress is unlikely to rely on a single, isolated breakthrough. The next wave of capability improvements will most likely emerge from a complex mix of extensions, hybrids an...
Carolyn Ashurst, Angus Shennan, Sylvester Kaczmarek et al.· Alan Turing Institute Resear...· 0 citations
The deployment of large-scale 32-bit neural networks is hindered by the escalating parameter sizes and inherent susceptibility to noise. Here, we present a non-volatile memory (NVM)-based probabilistic computing architecture, which harnesses both the stochastic nature and in-memory computing capabilities of NVM to enha...
Hongchao Zhang, Tianxiao Nie, Weisheng Zhao et al.· AIP Publishing· 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
The Compatibility Ratio (CR) is introduced as a simple guideline for evaluating performance trade-offs between optimal hardware micro-architecture configurations across different workloads and shows that, for the considered accelerator, a DNN model-family optimized configuration might occupy an effective middle ground...
Lukas Groth, Andrija Nešković, Rainer Buchty et al.· ACM Transactions on Embedded...· 0 citations
This paper presents a comprehensive survey of techniques aimed at improving the energy efficiency and sustainability of Green AIoT systems and examines how AI-assisted techniques, including TinyML, edge AI, and intelligent computation offloading, complement traditional Green IoT mechanisms to reduce energy consumption.
Mislav Has, Fehmi Ben Abdesslem, Mario Kušek et al.· Applied Sciences· 0 citations
Experimental results show that the proposed algorithm coordinates heterogeneous computing resources between the cloud center and the edge and exhibits earlier empirical reward stabilization and lower task-violation rates than the compared learning-based baselines under the tested workload conditions.
Jian Song, Jing Wang, Jun-Fei Yan et al.· Applied Sciences· 0 citations
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.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
