Entries from July 2018 ↓
July 21st, 2018 — pinboard
Digest powered by RSS Digest
July 20th, 2018 — pinboard
Digest powered by RSS Digest
July 19th, 2018 — pinboard
Digest powered by RSS Digest
July 18th, 2018 — pinboard
Digest powered by RSS Digest
July 17th, 2018 — pinboard
- ‘My brain feels like it’s been punched’: the intolerable rise of perfectionism | Society | The Guardian
- Most Anticipated: The Great Second-Half 2018 Book Preview – The Millions
- Bobby Wilson, Arizona Senate candidate, says he killed his mother
- Trump Sheds All Notions of How a President Should Conduct Himself Abroad – The New York Times
- The Anthony Bourdain Interview
- An Illustrated Proof of the CAP Theorem
- Twitter
RT @ScottMStedman: Now that WaPo is suggesting it, I can confirm that Paul Erickson is US Person 1 in the Butina indictment.
- Twitter
RT @krassenstein: BREAKING: A Senior German official just told CNN that Germany, for the first time since WWII ended, requires a stra…
- Twitter
RT @emilynussbaum: tfw the most *benign* explanation for your president’s traitorous behavior is cognitive decline combined with clini…
- Gore (the Gore-Tex Company) Thinks It Holds the Key to On-Skin Wearables – IEEE Spectrum
- Guns and religion: How American conservatives grew closer to Putin’s Russia – The Washington Post
- Gender Inclusive Tech Events: A hands on how-to guide
- PerrySetGo/Gender-Inclusive-Events-Guide: A open source hands-on how-to guide for creating more diverse and gender inclusive (tech) events.
A open source hands-on how-to guide for creating more diverse and gender inclusive (tech) events.
- Google AI Blog: Improving Connectomics by an Order of Magnitude
The field of connectomics aims to comprehensively map the structure of the neuronal networks that are found in the nervous system, in order to better understand how the brain works. This process requires imaging brain tissue in 3D at nanometer resolution (typically using electron microscopy), and then analyzing the resulting image data to trace the brain’s neurites and identify individual synaptic connections. Due to the high resolution of the imaging, even a cubic millimeter of brain tissue can generate over 1,000 terabytes of data! When combined with the fact that the structures in these images can be extraordinarily subtle and complex, the primary bottleneck in brain mapping has been automating the interpretation of these data, rather than acquisition of the data itself.
Today, in collaboration with colleagues at the Max Planck Institute of Neurobiology, we published “High-Precision Automated Reconstruction of Neurons with Flood-Filling Networks” in Nature Methods, which shows how a new type of recurrent neural network can improve the accuracy of automated interpretation of connectomics data by an order of magnitude over previous deep learning techniques. An open-access version of this work is also available from biorXiv (2017).
- google/neuroglancer: WebGL-based viewer for volumetric data
WebGL-based viewer for volumetric data
- google/ffn: Flood-Filling Networks for instance segmentation in 3d volumes.
Flood-Filling Networks for instance segmentation in 3d volumes.
Flood-Filling Networks (FFNs) are a class of neural networks designed for instance segmentation of complex and large shapes, particularly in volume EM datasets of brain tissue.
For more details, see the related publications:
https://arxiv.org/abs/1611.00421
https://doi.org/10.1101/200675
This is not an official Google product.
- aText – Typing accelerator – Text macro utility for Mac
aText Typing Accelerator
aText accelerates your typing by replacing abbreviations with frequently used phrases you define
Digest powered by RSS Digest
July 16th, 2018 — pinboard
Digest powered by RSS Digest
July 15th, 2018 — pinboard
Digest powered by RSS Digest
July 14th, 2018 — pinboard
Digest powered by RSS Digest
July 13th, 2018 — pinboard
Digest powered by RSS Digest
July 12th, 2018 — pinboard
Digest powered by RSS Digest