BenoitP

60 ms·

571.
by BenoitP 7y ago
http://highscalability.com/ Weekly (friday) newsletter about scalable systems. Kind of an echo chamber for HN or a high quality digest of it, depending on your viewpoint. Has sponsored posts.
572.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
573.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
574.
by BenoitP 7y ago
Coming from the other side (stateful distributed processing), Apache Flink has an interesting proposal: https://statefun.io/ Functions are deserialized along with their state when woken up by an input.
575.
by BenoitP 7y ago
I'm very hopeful for approaches that model around this need from the ground up. Big Data distributed stream processing frameworks like Spark or Flink allow for standing SQL queries that are incrementally build; and you can even subscri
576.
by BenoitP 7y ago
Recommending Upmem's video: https://youtu.be/KbseqGLveFk?t=166 They produce some RAM with an ARM core inside, in the same silicium. So, instead of fetching some bits to the CPU (650 pJ), they allow some computation to
577.
by BenoitP 7y ago
Buoyancy: exactly! I'll admit that phrasing it shortly is sort of misleading, but it does still carry a precise meaning: we're talking of "a mass of 1kg" (in the gravitational pull sense) vs "weighs" (the act o
578.
by BenoitP 7y ago
Here's my truth very few people agree with me on: A mass of 1kg of lead actually weighs -in standard conditions- more than a mass of 1kg of feathers. So far, it has been 6 times I've had an argument with people over it.
579.
by BenoitP 7y ago
Oh, I'm quite hopeful for Elon. The thing is, for space exploration, and especially for Elon, it is much more likely that the first attempt will result in a crash. But that's just how it's done, and the necessary first step.
580.
by BenoitP 7y ago
1. Hardware: The only way to get more performance will be to adapting it to the workload. We're going to see a lot more special purpose chips. "Managed Language Chips" with hw accelerated garbage collection. The Map operation
581.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
582.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
583.
by BenoitP 7y ago
You might be interested in http://nandgame.com/ . It's sort of like the game they are already playing, and teaches them about CPU architecture.
584.
When microservices fail(microservices.fail)
3 points by BenoitP 7y ago|0 comments
585.
Project Loom(javaadvent.com)
1 points by BenoitP 7y ago|0 comments
586.
Advanced Query Accelerator (Aqua) for Amazon Redshift Available for Preview(pages.awscloud.com)
1 points by BenoitP 7y ago|0 comments
587.
by BenoitP 7y ago
> as I don't believe most companies would bother to port their software to another architecture For a Java/Node/Python application, this means changing one line in a docker file, and running preprod/integration tests.
588.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
589.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
590.
by BenoitP 7y ago
The shiny apparatus surrounding the hardware makes me think of The Talk, by smbc comics: https://www.smbc-comics.com/comic/the-talk-3
591.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
592.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
593.
Announcing Stateful Functions: Distributed State, Uncomplicated(ververica.com)
2 points by BenoitP 7y ago|0 comments
594.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
595.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
596.
by BenoitP 7y ago
RSS reader on https://news.ycombinator.com/best
597.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
598.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal
599.
by BenoitP 7y ago
SEEKING WORK | Paris, France | Remote --------------------------- Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production *
600.
by BenoitP 7y ago
Machine learning engineer, specialized in Explainable AI / ML Recent Highlights: * Implementation in Spark/Scala of treeinterpreter, currently used in production * Participation to the FICO-Google Explainable Machine Learning Chal

More ›