Shores of ML

Limits of ML? - I noticed this last week, when looking for Barnum's Bio, that a chap had re-published it and attached his patent. Writer David Streitfield here investigates the rape of Orwell's work.

"Amazon said in a statement that “there is no single source of truth” for the copyright status of every book in every country, and so it relied on authors and publishers to police its site.  The company added that machine learning and artificial intelligence were ineffective when there is no single source of truth from which the model can learn." Really? 1984? https://nyti.ms/33KyQ6v

Surveillance Capitalism on the March?

In the Age of Surveillance Capitalism, Shoshana Zuboff defines Surveillance Capitalism as a new economic order that claims human experiences as free raw material for hidden commercial practices of extraction prediction and sales. She, begins her story visiting a paper milling town in the 1980s where a plant manager ruminated on the difference between you working for a robot and a robot working for you.

The moment became a touch stone for Zuboff’s career in academia as along with a “Home Aware” project at the beginning of the century. The basic assumption of the project’s scientists and engineers was that the data being generated as part of system would be owned by the people who lived in the house.

It’s a far remove, she notes from the Smart Home as it is promoted today, where Nest and other arrays of thermostatic sensors eagerly harvest individuals’ data to sell advertising and to feed predictive models.

Zuboff is dealing with history and the biggest questions. She is dealing from a strong point: the existential question of whether a society will produce masters and slaves is played out again and again through time. It is going to take effort but I am looking forward to her analysis of the battle going on in this regard today. - Jack Vaughan

Throwing Optane on Spark

Accelerate Your Apache Spark with Intel Optane DC Persistent Memory from Databricks

Spark is in-memory, cool! But that also brings with it issues. Intel sees it as a use case for its new Optane feast and fowl memory. 

On the matter of GDPR

Here are some takes from my work on the matter of GDPR at SearchDataManagement.com

https://searchdatamanagement.techtarget.com/opinion/GDPR-privacy-concerns-still-brewing-on-laws-first-birthday

https://searchdatamanagement.techtarget.com/podcast/Hadoop-data-governance-services-surface-in-wake-of-GDPR

https://searchdatamanagement.techtarget.com/opinion/GDPR-compliance-requirements-drive-new-winds-of-data-privacy

https://searchdatamanagement.techtarget.com/feature/Data-expert-GDPR-deadline-is-an-opportunity-not-a-burden

Latent ODEs for Irregularly-Sampled Time Series

"Latent ODEs for Irregularly-Sampled Time Series"

Time series with non-uniform intervals occur in many applications, and are difficult to model using standard recurrent neural networks (RNNs). These guys generalized with a model called ODE-RNNs. Paper by Rubanova et al.: arxiv.org/abs/1907.03907

AI for Good: DataRobot & Global Water Challenge

Data Brevia July 2019

Soon in theatres near you: "Cambridge Analypse" - the story of a mad professor who cruelly crashed two elections, and the plucky data scientist whistle-blower who disclosed the dirt. Starring Ethan Hawke, Sandra Dee and Paul Ruebens and Nick Nolte (as Steve Bannon). pic.twitter.com/D8SwOiLaMR

— Jack Vaughan (@JackIVaughan) July 18, 2019

Lyft open-sourced their autonomous driving dataset from its Level 5 self-driving fleet.

- 55k human-labeled 3D frames
- 7 cameras, 3 lidars
- HD spatial semantic map: lanes, crosswalks, etc
- Drivable surface maphttps://t.co/KDvvKRWX2w pic.twitter.com/uvQ8jmw2UG

— Reza Zadeh (@Reza_Zadeh) July 23, 2019

FaunaDB 2.7 with improvements for and access data control. https://t.co/84Tq62bst8

— Jack Vaughan (@JackIVaughan) July 24, 2019

Each time my comment about big data failures is repeated, the thing failing changes. This time it's data science. Last time it was AI projects. https://t.co/GqQHisRPeY

— Nick Heudecker (@nheudecker) July 24, 2019

Talend Data Fabric release supports pay-as-you-go option with Pipeline Designer, intelligent data integration with MagicFill machine-learning powered suggestions and reversible Format Preserving Encryption. https://t.co/2Uei2NrF9S

— Jack Vaughan (@JackIVaughan) July 18, 2019

Redis adds TimeSeries Module - https://t.co/d1tyfZnHWQ via @redislabs

— Jack Vaughan (@JackIVaughan) July 22, 2019

Dagster open-source library targets ETL processes and ML pipelines. https://t.co/7tVDNt9P61

— Jack Vaughan (@JackIVaughan) July 22, 2019

Some open source DBs are zigging - but Yugabyte is zagging. It goes for Apache license - which makes sense as it is looking to lure Postgres advocaters. https://t.co/TmkxBLjnHM

— Jack Vaughan (@JackIVaughan) July 20, 2019

Berners-Lee Biopic

Trend No. 9 Renaissance of Silicon

Trend No. 9 Renaissance of Silicon – Navin Chaddha, Mayfield Fund, at Churchill Club Annusal Top 10 Tech Trends Dinner May 19 - We hear software is eating the world. It actually did. That’s finished. Now you need to innovate. You are reaching limitations of what CPUs can do. Every big hyperscaler is burning chips. My advice to people is if they understand anything about physics, if they understand anything about technology go back to the basics. We have taken the easy route of taking shortcuts but it’s time to go back to the basics, solve innovative problems.