SQL Server Agent unable to view network drives

I am unable to get agent jobs to output to a network path. I have pushed the IT guy to set up a domain authenticated user that logs in when the agent starts. That login does have access to the domain and is able to see the network drives. If I set the location of the output file to be the local c: then this works without issue. However if I set the drive to be a network location I get the following message;

[SQLSTATE 01000] (Message 0)Unable to open Step output file. The step succeeded. 

Any help would be very much appreciated

Is it possible to train a neural network to solve NP-complete problems?

I’m sorry if the question is not relevant, i have tried to search for articles about it but i couldn’t find satisfying answers.

I’m starting to learn about machine learning, neural networks etc … and i was wondering if making a neural network that takes a graph as input, and output the answer of an np-complete problem (e.g. the graph is hamiltonian / the graph has independant set superior to k, and other decision problems) would work ?

I haven’t heard of any np complete problems being solved like this, so i guess it does not work, are there theoretical results stating that a neural network cannot learn np-complete language or something like this ?

How to hold posts and accounts for moderation on WordPress Network site

In WordPress MU is there a way for a network admin to hold posts in moderation?

For example:

  1. A user creates an account and a site
  2. They create their first post
  3. The post is held in moderation and the network admin receives an email
  4. The network admin approves the post and / or the account
  5. The user can now see the post or can create future posts

I think other sites like Discourse have this feature where the user is granted more permissions either over time or from a network administrator.

Does a Chromecast could be compromised from its default open network?

I left my apartment for few days, so I disconnected my wireless router but I forgot to disconnect my Chromecast as well. I remember that when a Chromecast can’t find the network it was connected anymore, it creates an open network that can be used to reconnect to another wireless network.

The issue is that I’m away from my apartment for a few days and my Chromecast is probably currently broadcasting an open network that anyone can connect to.

Even if there is no internet connexion on that open network, there are two things I’m worried about.

  1. The Chromecast could be attacked from a wireless exploit. We don’t know how someone else’s computer could be infected by malware, the Chromecast could be attacked once that infected computer connects to it (for example, by running wireless exploits against). Even, the worst scenario could be an attacker just connecting to that Chromecast open network and directly run exploits against it.

  2. It might be possible for someone who can attack the Chromecast to get the wireless network password that the Chromecast was previously connected to. This password might be obviously stored somewhere on the Chromecast memory and with some access to the filesystem by a kind of jailbreak (for example, the point 1), it could be retrieved and used to connect to my wireless network.

Considering those two points, should I factory reset my Chromecast once I’m back to my apartment ? Or even safer, should I get rid of this Chromecast considering that the firmware could have been compromised and buy a new one ?

Importing A Neural Network From Mathematica For Use In R

I am experimenting with platform interoperability between Mathematica and R.

My aim is to create an untrained Neural Network using Mathematica, export this network in MXNet format as a .json file, and import this network into R for a classification problem.

Creating the Network in Mathematica

Here i have created a basic neural network – this network is untrained. I have exported the network alongside the network parameters.

In mathematica the code is as follows.

dec=NetDecoder["Class",{"Chronic Kidney Disease","No Kidney Disease"}]  net =   NetInitialize@   NetChain[{BatchNormalizationLayer[], LinearLayer[20], Ramp,      DropoutLayer[0.1], LinearLayer[2], SoftmaxLayer[]},    "Input" -> 24, "Output" -> dec    ] 

There are 24 feature variables for the input and the output is the netdecoder. I then export this network.

Export["net.json", net, "MXNet"] 

This produces two files, one with the network, and another with the parameters. By using FilePrint we can visualise this

FilePrint["net.json"] 

which returns

{     "nodes":[         {"op":"null","name":"Input","inputs":[]},         {"op":"null","name":"1.Scaling","inputs":[]},         {"op":"null","name":"1.Biases","inputs":[]},         {"op":"null","name":"1.MovingMean","inputs":[]},         {"op":"null","name":"1.MovingVariance","inputs":[]},         {"op":"BatchNorm","name":"1","attrs":{"eps":"0.001","momentum":"0.9","fix_gamma":"false","use_global_stats":"false","axis":"1","cudnn_off":"0"},"inputs":[[0,0,0],[1,0,0],[2,0,0],[3,0,0],[4,0,0]]},         {"op":"null","name":"2.Weights","inputs":[]},         {"op":"null","name":"2.Biases","inputs":[]},         {"op":"FullyConnected","name":"2","attrs":{"num_hidden":"20","no_bias":"False"},"inputs":[[5,0,0],[6,0,0],[7,0,0]]},         {"op":"relu","name":"3$  0","inputs":[[8,0,0]]},         {"op":"Dropout","name":"4$  0","attrs":{"p":"0.1","mode":"always","axes":"()"},"inputs":[[9,0,0]]},         {"op":"null","name":"5.Weights","inputs":[]},         {"op":"null","name":"5.Biases","inputs":[]},         {"op":"FullyConnected","name":"5","attrs":{"num_hidden":"2","no_bias":"False"},"inputs":[[10,0,0],[11,0,0],[12,0,0]]},         {"op":"softmax","name":"6$  0","attrs":{"axis":"1"},"inputs":[[13,0,0]]},         {"op":"identity","name":"Output","inputs":[[14,0,0]]}     ],     "arg_nodes":[0,1,2,3,4,6,7,11,12],     "heads":[[15,0,0]],     "attrs":{         "mxnet_version":["int",10400]     } } 

Importing the Network into R

Now we have an untrained network as a .json file in MXNet format.

We can import this using:

library(rjson) mydata <- fromJSON(file="net.json")  

The Problem

Im not sure how to process the exported net in R. Is it possible to use the imported untrained network from Mathematica, to then be used in R to train on some data?

Firewall for my devices (iPad, iPhone, surface) on a shared home WiFi network?

I am renting a room and using shared home WiFi network. The owner has setup a Netgear WiFi range extender for me. I have another roommate on the same network along with the owners. I use Nord VPN. Since a few months I have been getting weird emails…someone opens accounts (like Snapchat, SoundCloud, Pinterest etc.) in my name constantly. I close one account and two more gets opened. I accessed those accounts and they had photos and stuff, so someone had been using them. I noticed that date of birth in one account was a date of significance to me (not my dob) and year in the username was a significant year related to that date. So it is confirmed that I’m hacked. On top of that yesterday I accessed my new website hosting service and made some changes to start a website, today this person opened an account for hiring employees. I believe someone can access (Hack into) my devices through home WiFi. Is there a way to monitor who is accessing and stop it in real time like a firewall. I use iPad and surface pro. Any advice to secure my devices?