Andes Y. L. Kei, Sherman S. M. Chow PAPER SHAFT: Secure, Handy, Accurate and Fast Transformer Inference Adoption of transformer-based machine learning models is growing, raising concerns about ...

Edited by Mónica Bello, In the Spaces Between is a sustained reflection on the long-running Arts at CERN programme.

Discover the Amondawa tribe of Brazil, a unique culture living without abstract concepts of time, calendars, or numerical ages in the heart of the Amazon.

Octra Network deploys on-chain FHE machine learning with governance and zero-knowledge verification, letting anyone run private ML inference directly on-chain.

Abstract: State estimator design for a nonlinear discrete-time system is a challenging problem, further complicated when additional physical insight is available in the form of inequality constraints ...

The results include a comparison between two different basis functions for temporal selectivity and how these generate different predictions for the dynamics of neural populations. The conclusions are ...

This paper examines whether Chinese development finance is associated with faster progress toward Millennium Development Goal style targets in low- and middle-income countries. We combine AidData’s ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

New Routemaster is being phased out two decades after Autocar helped design it – then gave it the full road test ...