927 results for accelerate

arxiv.org/abs/2105.09241v1

Gradient Methods with Memory

In this paper, we consider gradient methods for minimizing smooth convex functions, which employ the information obtained at the previous iterations in order to accelerate the convergence towards the optimal solution. This information is used in the...

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Four ways universities can future-proof higher education

Jan 11, 2022 · The COVID-19 crisis accelerated changes that were on the horizon for universities. Now they must keep the best of those changes and forge new frontiers.

arxiv.org/abs/1905.07657v1

A primary electron beam facility at CERN

This paper describes the concept of a primary electron beam facility at CERN, to be used for dark gauge force and light dark matter searches. The electron beam is produced in three stages: A Linac accelerates electrons from a photo-cathode up to 3.5...

github.com/NVIDIA/GenerativeAIExamples

NVIDIA/GenerativeAIExamples

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. (⭐ 3822)

github.com/vaadin/hilla

vaadin/hilla

Build better business applications, faster. No more juggling REST endpoints or deciphering GraphQL queries. Hilla seamlessly connects Spring Boot and React to accelerate application development. (⭐ 982)

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Tourism can be a catalyst for growth and shared prosperity

Jan 6, 2026 · As global mobility accelerates, the tourism sector should ensure that travel fosters cultural understanding, constructive dialogue and shared prosperity.

github.com/9001/copyparty

9001/copyparty

Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file (⭐ 42979)

www.bing.com/ck/a?!&&p=651a600cd75da754a3e13ad8dfa6a97b3552b5f2dcf4c3cfaa959e7aebae24c3JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=2058c69d-89e6-6a2c-2a62-d18f884a6bd7&u=a1aHR0cHM6Ly93d3cuZ2FsYS5mci9yb3lhdXRlcy9leGNsdS1sYS1iZWxsZS1oaXN0b2lyZS1zZS1wb3Vyc3VpdC1yYW5pYS1kZS1qb3JkYW5pZS1uLWVuLWZpbml0LXBsdXMtZGUtZmFpcmUtZGVjb2xsZXItdW5lLXBldGl0ZS1tYXJxdWUtZnJhbmNhaXNlLTIwMjYwMjIz&ntb=1

EXCLU – “La belle histoire se poursuit” : Rania de ... - Gala

Feb 23, 2026 · Déjà à l’origine d’un véritable coup d’accélérateur pour une jeune maison de maroquinerie tricolore en 2025, la reine Rania de Jordanie confirme son attachement à la marque …

arxiv.org/abs/1709.07793v1

Cosmic Ray Acceleration by Relativistic Shocks: Limits and Estimates

We examine limits to the energy to which cosmic rays can be accelerated by relativistic shocks, showing that acceleration of light ions as high as 100 EeV is unlikely. The implication of our estimates is that if ultra-high energy cosmic rays are acce...

en.wikipedia.org/wiki/Computation_offloading

Computation offloading - Wikipedia

cloud. Offloading to a coprocessor can be used to accelerate applications including: image rendering and mathematical calculations. Offloading computing

arxiv.org/abs/2304.03441v1

Large-Scale Analysis of New Employee Network Dynamics

The COVID-19 pandemic has accelerated digital transformations across industries, but also introduced new challenges into workplaces, including the difficulties of effectively socializing with colleagues when working remotely. This challenge is exacer...

en.wikipedia.org/wiki/Samer_Karam

Samer Karam - Wikipedia

Samer Karam is a Lebanese entrepreneur, investor, author, and activist. He founded Seeqnce, the first startup accelerator in Lebanon, created the Accelerate

github.com/luigifcruz/kimera

luigifcruz/kimera

Low-latency hardware accelerated codec based video streaming utility. (⭐ 157)

arxiv.org/abs/gr-qc/0703019v1

Transition from AdS universe to DS universe in the BPP model

It can be shown that in the BPP model the smooth phase transition from the asymptotically decelerated AdS universe to the asymptotically accelerated DS universe is possible by solving the modified semiclassical equations of motion. This transition...

arxiv.org/abs/2504.05295v3

Dion: Distributed Orthonormalized Updates

Orthonormalized updates accelerate training, improve stability, and enable robust hyperparameter transfer, but existing methods like Muon rely on dense matrix operations that clash with sharded weights in large-scale LLM training, causing high comput...