recentpopularlog in

machine-learning

« earlier   
Metro - Data Crowdsourcing for AI and Machine Learning >>> Generate and sell your own data
About:
"Anybody can use our community-made plugins, "DataSources", to generate data and sell it in real-time to a Project. (free for now) A Project could be a groundbreaking new AI, a research study, or someone's curiosity project.
[...]
Artificial Intelligence is fueled by data, so innovation is monopolized by those who control data.
[...]
Our philosophy is "Empower, Don't Restrict". Let users control and monetize their data.
[...]
We want to create a transparent and fair system of sharing any kind of data where both the producer of data and the buyer of data have the power they deserve. Right now, the middle-man has all of the power and that is why the world is dominated by Google and Facebook. This is a fair and honest system which will be built without imposing unreasonable restrictions upon what can and cannot be done.
[...]
We are not a data collection company. We're a data energizing company.
[...]
We have created a Chrome/FF extension to which users can attach "DataSources" - simple community-made pieces of code which allow users to generate their own data. Our website hosts "Projects", which are pieces of work which want to crowdsource data from users using specific DataSources. DataSources are made and curated by the community, not by us, and they are open source so anybody can verify them. This gives the community direct access to raw data with its intrinsic innovative value for the coming AI revolution, while giving individual users direct access to the monetary value."

HAG
Startupinthecloud  Agrachina  AI  machine-learning  Data  Platform  open-data  opensource  Crowdfunding  Business_Advisory_relevant  Business_Model  Business  Project_Information_Platform  community  Marketing  UrB 
yesterday by eocas
Attacks against machine learning — an overview
This blog post surveys the attacks techniques that target AI (Artificial Intelligence) systems and how to protect against them.
machine-learning  cybersecurity 
2 days ago by hschilling
[1806.07060] A model-driven approach for a new generation of adaptive libraries
Efficient high-performance libraries often expose multiple tunable parameters to provide highly optimized routines. These can range from simple loop unroll factors or vector sizes all the way to algorithmic changes, given that some implementations can be more suitable for certain devices by exploiting hardware characteristics such as local memories and vector units. Traditionally, such parameters and algorithmic choices are tuned and then hard-coded for a specific architecture and fo...
machine-learning  gpu  libraries 
2 days ago by hschilling
The $300 system in the fight against illegal images - BBC News
The owner of an image hosting platform is fighting back against illegal material with a low-budget solution.
rpi  open-source  machine-learning 
2 days ago by floehopper
The Machine Fired Me | Hacker News
> This is literally an episode of Better Off Ted.[1] In it, the titular Ted is inadvertenly deleted from the company system when trying to correct a misspelling of his last name. Eventually, he is forced to interview for his own job as the system had already put out an ad for his replacement. I think the most striking part of it, and of the true story from the post, is the human factor - the idea that the humans involved looked to the system as an authority and followed its orders blindly.
I wonder what other examples there are of people blindly following technology - people driving into lakes because their GPS told them to, etc. Plus, as our society gets more and more dependent on these systems, we may lose out on the flexibility that human mediators and problem solvers once gave us. The human tendency to defer to authority may never be as terrifying as when that authority is held by an uncaring machine with a couple bugs.



> The episode about the black engineer who isn't detected by the motion sensors is basically straight out of HP's webcam fiasco[1](although the show takes it to the logical and hilarious extreme).


> Reminds me of Frank Herbert's ominous (fictional) prophecy:
“Once men turned their thinking over to machines in the hope that this would set them free. But that only permitted other men with machines to enslave them.”
future  prediction  ml  ai  machine-learning  funny  idiots  hn 
2 days ago by hellsten

Copy this bookmark:





to read