Intogral Limited

Deep Learning and Image Processing start-up from Durham University, UK.

[Intogral Limited @intogral]

Intogral Limited is currently hiring two Software Engineers / Web Developers. Submit your CV and join us in the beautiful historical city of Durham! #datascience #programming #gpu #cpp #python #software #coding #glsl #cuda #engineering #science #ai #technology #rt #job #hiring

[Intogral Limited @intogral]

Power your 3D AI models with rapid and high-quality 3D image data, meticulously tagged by our expert 3D annotators using Intogral's Image Annotation Platform. https://t.co/qM5Km9DsK5 #ai #3d #image #oct #mri #ct #ultrasound #microscopy #pet #biology #medicine #pharma

[Intogral Limited @intogral]

Join us at the Angels for the North meeting in London. @NorthstarVent #AI #venturecapital #datasciences #medtech #innovation https://t.co/pCZilze4db

[Intogral Limited @intogral]

See our latest AI platform for diagnosing eye diseases: https://t.co/mG1aGyhhY7 #ArtificialIntelligence #imageprocessing #imaging #healthcare @NorthstarVent @innovateuk @atom_bank @_BusinessDurham @durham_uni

[Intogral Limited @intogral]

Durham based startup launches AI tech for diagnosing eye diseases. See our deployed deep learning cloud system. https://t.co/5Cn3o9AaYK #AI #deeplearning #oct #nhs #datascience @NorthstarVent @atom_bank @BdailyNorthEast @_BusinessDurham @durham_uni

[Intogral Limited @intogral]

Intogral has developed state-of-the-art segmentation for OCT imaging. See our deep learning model learning to diagnose retinal disease. https://t.co/K0PrOPl2Qm #AI #deeplearning #oct #nhs #datascience #machinelearning #imageprocessing #segmentation

[Chris Willcocks @cwkx]

A fantastic @comp_sci_durham research showcase for the #DUOpenDay with Phil's psychedelic AI, the ticklish Nao robots, @intogral 's AI Medical Image Computing system, and Amir's research with GTA! @durham_uni - look out for our purple helpers! #Durham

[Intogral Limited @intogral]

@DeepMindAI validates AI for eye diagnostics. @intogral works closely with @durham_uni and NHS @SunderlandEye on new AI technologies for Macular Hole and Edema detection, quantification and understanding. #AI #DeepLearning

[Google DeepMind @GoogleDeepMind]

Teams at @DeepMind_Health and @Moorfields have developed AI technology that can detect eye disease and prioritise patients. 'Clinically applicable deep learning for diagnosis and referral in retinal OCT' has been published online in @NatureMedicine today: https://t.co/3Iw5PKrSOJ

[Tech Nation @TechNation]

.@atom_bank are launching an incubator at their Durham HQ!

https://t.co/beFQitUvnS

[Tech Show North @TechShowNorth]

#Durham-based @atom_bank has announced plans to help North East technology #startups.

"The first business to join the incubator is @intogral, which has spun out from @durham_uni."

More info on @ProlificNorth
https://t.co/QiTWdIdlHw

[Intogral Limited @intogral]

At the @CreativeFuseNE presenting our project on #DeepLearning for antiquities trafficking.

[PyTorch @PyTorch]

v0.4: Trade-off memory for compute, Windows support, 24 distributions with cdf, variance etc., dtypes, zero-dimensional Tensors, Tensor-Variable merge, , faster distributed, perf and bug fixes, CuDNN 7.1. Read more at: https://t.co/JrRL3fARsa
Install via https://t.co/b35UOLhdfo

[Jakub Tomczak @jmtomczak]

A great review of different techniques for medical images by @vcheplygina Marleen de Bruijne & Josien Pluim. Must-read to keep up-to-date with recent developments in medical imaging!

[Arthur Mensch @arthurmensch]

3 notebooks on @PyTorch : from optimization (autodiff basics) to learning (a 2-parameter MLP) to deep-learning (Fashion Mnist + learning rate tricks). Thanks @ogrisel @CharlesOllion for this collaboration ! https://t.co/Tgmwdbco1c

[Thomas Kipf @tkipf]

Our implementation (in PyTorch) of "Neural Relational Inference for Interacting Systems" is available on GitHub: https://t.co/x6wDfAhZno - includes a variant of Graph Neural Networks that learns both node- and edge-based representations. Joint work with @EthanFetaya

[Gene Kogan @genekogan]

1/ New essay: an excavation of the history of mathematics, from deep learning down https://t.co/WrfZutY9ii

[Gene Kogan @genekogan]

getting some impressive early results training pix2pixHD on satellite imagery of New York.
left: real
middle: label map from @Mapbox
right: reconstruction

[Chris Willcocks @cwkx]

Interactive GPU active contours for segmenting inhomogeneous objects https://t.co/5uiUndqfnd via @YouTube

[Pierre Sermanet @psermanet]

Our updated TCN results show that a real robot can learn a new task from a single human video after self-supervising on unlabeled videos. Details at https://t.co/xQEBtfVAfD

[PyTorch @PyTorch]

Tensor Comprehensions are now integrated and interoperable with @PyTorch .
Read our blog post to get started: https://t.co/CJ0jxu1q7v https://t.co/HS3IDRjXyz

[Ira Korshunova🇺🇦 @iskorna]

Check out our paper on modelling exchangeable sequences using Student-t processes & Real NVP. We called it BRUNO: Bayesian RecUrrent Neural mOdel (a tribute to de Finetti) 🙂 https://t.co/X7fa0hOWim with @317070, @fhuszar, @yaringal, @JoniDambre, @ArthurGretton