Tootfinder

Omnidirectional Video Super-Resolution using Deep Learning
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
https://arxiv.org/abs/2506.14803

Omnidirectional Video Super-Resolution using Deep Learning
Omnidirectional Videos (or 360° videos) are widely used in Virtual Reality (VR) to facilitate immersive and interactive viewing experiences. However, the limited spatial resolution in 360° videos does not allow for each degree of view to be represented with adequate pixels, limiting the visual quality offered in the immersive experience. Deep learning Video Super-Resolution (VSR) techniques used for conventional videos could provide a promising software-based solution; however, these techniqu…

Pero lo de dejar Ucrania para los Ucranianos no lo contempla nadie...
@… https://mastodon.world/@huffpost_es/114413837025446507…

"Elinkeinoelämän keskusliiton johtaja Oksala kehuu Petteri Orpon hallitusta. EK on saavuttanut monia pitkäaikaisia tavoitteitaan."
Ennen siirtymistään elinkeinoelämän palvelukseen Oksala teki pitkän uran kokoomuksen taustavaikuttajana.
Orvon hallitukselle EK johtaja antaa
arvosanan 9-. Kuka yllättyi 🤑
#hallitus

Elinkeino­elämä on saanut jo lähes kaiken haluamansa – Nyt Ilkka Oksala kertoo, mitä EK hamuaa seuraavaksi
Petteri Orpon hallitus on paras sitten Paavo Lipposen ensimmäisen hallituksen, kehuu 60 vuotta täyttänyt EK-johtaja.

#nzz #threema #schweiz

#nzz #threema #schweiz

Modern search demands scalable personalisation. Join Piotr Kobziakowski
at this year's Berlin Buzzwords to discover how Vespa's multi-stage ranking and tensor framework can be used for hybrid queries, multimodal retrieval, and real-time machine learning. Learn how to deploy low-latency, high-relevance search systems at petabyte scale.
Learn more:

Vespa.ai’s Personalized Search: Advanced Ranking & Tensor framework
Today’s applications require search engines to unify text, vectors, and business logic with millisecond latency at petabyte scale. It’s not easy to balance speed, relevance, and personalization for a large user population and a billion scale item base. Vespa.ai, the open-source engine powering Yahoo, Perplexity, Qwant, Vinted, Spotify addresses this through multi-stage ranking with close to data tensor operations and easy to understand custom functions. Vespa’s phased architecture enables…

"Construí a hipótese do marcador somštico de que a emoção era parte integrante do processo de raciocínio e poderia auxiliar esse processo ao invés de, como se costumava supor, perturbš-lo.
Hoje em dia essa ideia jš não causa espécie, mas na época em que a apresentei muita gente estranhou, e mesmo a recebeu com certo ceticismo."
António Damšsio, neurologista e neurocientista português radicado nos Estados Unidos.
📚 Estudando para melhor servir as crianças no Ateliê…

The James Webb Space Telescope NIRSpec-PRISM Transmission Spectrum of the Super-Puff, Kepler-51d
Jessica E. Libby-Roberts, Aaron Bello-Arufe, Zachory K. Berta-Thompson, Caleb I. Ca\~nas, Yayaati Chachan, Renyu Hu, Yui Kawashima, Catriona Murray, Kazumasa Ohno, Armen Tokadjian, Suvrath Mahadevan, Kento Masuda, Leslie Hebb, Caroline Morley, Guangwei Fu, Peter Gao, Kevin B. Stevenson

The James Webb Space Telescope NIRSpec-PRISM Transmission Spectrum of the Super-Puff, Kepler-51d
Kepler-51 is a 500 Myr G dwarf hosting three "super-puffs" and one low-mass non-transiting planet. Kepler-51d, the coolest (T_eq ~ 350 K) transiting planet in this system, is also one of the lowest density super-puffs known to date (rho_p = 0.038 +/- 0.009 g/cm^3). With a planetary mass of Mp = 5.6 +/- 1.2 Earth masses and a radius of Rp = 9.32 +/- 0.18 Earth radii, the observed properties of this planet are not readily explained by most planet formation theories. Hypotheses explaining Kepler-5…