Biggest issue to me in removing NAT is the reduction of privacy. With IPv6 I notice all my LAN devices have a unique public IPv6 address, which allows each device on a LAN to be identified uniquely. Which then allows easier identification of individual devices and users. Privacy implications like the ability to track…
Answered Sep 26, 2022 · 752 Views Read answer →
SFDX: retrieve source in Manifest from org - Metadata API request failed: INVALID_LOCATOR: Retrieve result has been deleted VS Code 1.59.0 - suddenly I cannot run "retrieve source in Manifest from org" command without failure: Metadata API request failed: INVALID_LOCATOR: Retrieve result has been deleted. Oddly, if…
Answered Sep 23, 2022 · 933 Views Read answer →
Error: connect etimedout is a Temporary issue when the Salesforce API is timed out. ETIMEDOUT comes from the Node.js engine and the error implies ETIMEDOUT (Operation timed out): A connect or send request failed because the connected party did not properly respond after a period of time. Usually encountered by HTTP or…
Answered Sep 22, 2022 · 19.0K Views Read answer →
There are no distinguishable hardware examples for each IA class. The same mobile robot architecture with proper sensors can be implemented to behave as any IA class. The way you can determine the class of an intelligent agent is from the way it processes the percept. Based on chapter 2 of Artificial Intelligent: A…
Answered May 19, 2022 · 2.8K Views Read answer →
The answer to your question - Is convolution linear is that - Convolution is a pretty misused term in recent times with the advent of CNN. Short answer, Convolution is a linear operator (check here) but what you are defining in context of CNN is not convolution, it is cross-correlation which is also linear in case of…
Answered May 19, 2022 · 1.7K Views Read answer →
"Current artificial intelligence research" is a pretty broad field. From where I sit, in a mostly CS realm, people are focused on narrow intelligence that can do economically relevant work on narrow tasks. (That is, predicting when components will fail, predicting which ads a user will click on, and so on.) For those…
Answered May 18, 2022 · 1.4K Views Read answer →
From Wikipedia: In computing, tree data structures, and game theory, the branching factor is the number of children at each node, the outdegree. If this value is not uniform, an average branching factor can be calculated. Outdegree meaning - In case of directed graphs, the number of edges going into a node is known as…
Answered May 12, 2022 · 655 Views Read answer →
The BFS space complexity is O(bd) in the worst case, and it corresponds to the largest possible number of nodes that may be stored in the frontier at once, where the frontier is the set of nodes (or states) that you are currently considering for expansion. You can take a look at section 3.5 (page 74) of the book…
Answered May 11, 2022 · 1.4K Views Read answer →
In this example you have a gray scale image of size 572x572 and 1 (gray) channel. The first convolution operation consists of 64 filters of size 3x3 and 1 channel per filter. The channel of the filters always fits the channel size of the previous layer (here: the Input). In the second convolution step of this explicit…
Answered May 11, 2022 · 776 Views Read answer →
Uniform cost search vs dijkstra, both are logically equivalent (i.e. they process the same vertices in the same order), but they do it differently. In particular, the main practical difference between the single-source DA and UCS is that, in DA, all nodes are initially inserted in a priority queue, while in UCS nodes…
Answered May 10, 2022 · 1.3K Views Read answer →
There are many computer vision algorithms and models that are used for different purposes. So, of course, I cannot list all of them, but I can enumerate some of them based on my experience and knowledge. Of course, this answer will only give you a flavour of the type of algorithm or model that you will find while…
Answered May 10, 2022 · 765 Views Read answer →
In Reinforcement Learning, the terms "model based reinforcement learning" and "model free reinforcement learning" do not refer to the use of a neural network or other statistical learning model to predict values, or even to predict next state (although the latter may be used as part of a model-based algorithm and be…
Answered May 10, 2022 · 798 Views Read answer →
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