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torch integral
Discover Torch Integral and reshape deep learning through continuous layer representation
qlip framework
Simplify your machine learning pipeline
with the QLIP Framework. Optimize training, quantization, pruning, and deployment without rewriting your existing code
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chief executive officer
Kirill Solodskikh
Chief AI scientist
Azim Kurbanov
Chief AI Architect
Ruslan Aydarkhanov
Chief Product Officer
max petriev
Chief
legal officer
legal officer
Alex Egorov
Ilya Baryshnikov
Chief Design Officer
Daria Kushnarenko
Backend
tech lead
tech lead
Alexey Hromov
Frontend
tech lead
tech lead
Svyatoslav Zytsar
Backend Engineer
Sergey Pereloma
UX Designer
rodion kuzhataev
QA Engineer
Sergey Erofeev
project
manager
manager
Sasha Nevidomaia
webflow developer
Anton Kiltsov
ui
designer
designer
katya chevychalova
cg artist
xeusimagery
Backend tech lead Alexey Hromov, Frontend tech lead Svyatoslav Zytsar, Backend Engineer Sergey Pereloma, QA Engineer Sergey Erofeev, project manager Sasha Nevidomaia, Webflow Designer Anton Kiltsov, UX Designer Rodion Kuzhataev, UI Designer Katya Chevychalova, CG Credits XeusImagery
blog
Explore INNs
2x Speed for DNNs in 1 Minute
read now →
TheStage AI's INNs
paper is a CVPR 2023 Award Candidate
Watch for our blog, decoding AI strides in computer vision, NLP, and audio processing
read now →
from Zero to Hero
Our Journey to Top Stories
on HackerNoon
read now →
Reflections on CVPR 2023
INNsights from Vancouver
read now →
introducing
black paper
8x Faster AI. TheStage AI's Black Paper unveiling the next evolution in deep learning