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Why choose DECT NR+?

a) LOW COST OF OWNERSHIP: DECT NR+ allows you to own your own private 5G network, meaning no base stations, no SIM cards, and no subscriptions.

b) SCALABLE AND RELIABLE: A DECT NR+ network can scale from 100 to 1 million nodes in a single square kilometer and offers high reliability with technology built on proven cellular technology standards.

c) LICENSE-EXEMPT FREQUENCY: DECT NR+ gives access to the dedicated, license-exempt 1,9 GHz DECT band, which offers less interference than other available bands and is (almost) globally allocated.

[1] Why choose DECT NR+?

https://www.nordicsemi.com/Products/Wireless/DECT-NR


Guess which building first demolished to the ground by Israel military in Gaza at the beginning of the conflict?

No price of getting the right answer, it's the Watan Tower building that also hosted most of Gaza Internet Sevice Provider (ISP) companies including Paltel and Jawwal and their infrastructure.

It was also a hub for several international media outlets, including the Associated Press and Al Jazeera [1],[2]. We are somewhow supposed to believe by Israel propaganda that the demolition of the Watan building is necessary to cripple the resistance but in war, truth is always the very first casualty that further leads to countless human casualties.

[1] Israels warns Palestinians on Facebook but Israel bombing decimated Gaza Internet Access:

https://theintercept.com/2023/10/12/israel-gaza-internet-acc...

[2] #KeepItOn: Telecommunications Blackout In The Gaza Strip Is An Attack On Human Rights:

https://m.scoop.co.nz/stories/WO2310/S00117/keepiton-telecom...


[flagged]


If Israel improved its conduct by a factor of 1000, then maybe it could be considered "a war mongering nation".

Instead, it's going down in history as a relatively-short-lived (<100 years) exercise in savagery.


So far Iran looks like the aggressive nation (who also funded Hamas and all acts of terror in the middle east instead of investing in drinking water infrastructure) thats going down, with the love of god, after 50 years since its revolution. Israel seems more resilient at the moment, only responding to savagery from Gazans. Remember October 7th and the hostages that could've ended it so much time ago

What do you mean by "could have ended it"? Hamas wanted to make a deal to release the hostages since October 10th in return for Israel releasing the 5,200 Palestinian prisoners. The entire point of the hostages was to exchange them. Israel is the one that didn't want to make a deal. That's why there were so many protests within Israel to "return the hostages". Those protests weren't about continuing the war, they were about pushing Netanyahu to end it and make a deal

This sort of sober analysis is what makes posts on this topic so edifying. /s

I am thinking of applying Graph Neural Network (GNN) for anomaly detection. It seems that at the moment the best technique so far is BWGNN that's originally proposed here [1].

Another question is that you claimed querying SQL as graph without ETL. Do you use similar technique to associative array mathematics proposed by D4M or other techniques [2].

[1] "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022:

https://github.com/squareRoot3/Rethinking-Anomaly-Detection

[2] D4M: Dynamic Distributed Dimensional Data Model:

https://d4m.mit.edu/


Thank you so much! Really insightful. I think we can definitely integrate these into PuppyGraph.

Do you know that all formally trained researchers have Doctor of Philosophy or PhD to their name? [1]

[1] Doctor of Philosophy:

https://en.wikipedia.org/wiki/Doctor_of_Philosophy


If academia is in question, then so are their titles. When I see "PhD", I read "we decided that he was at least good enough for the cause" PhD, or PhD (he fulfilled the criteria).

>There's a whole giant gap between grid cells and intelligence.

Please check this recent article on the state machine in the hippocampus based on learning [1]. The findings support the long-standing proposal that sparse orthogonal representations are a powerful mechanism for memory and intelligence.

[1] Learning produces an orthogonalized state machine in the hippocampus:

https://www.nature.com/articles/s41586-024-08548-w


Of course, but the mechanisms “remain obscure”. The entorhinal cortex is but a facet of this puzzle and placement vs head direction etc must be understood beyond mere prediction. There are too many essential parts that are not understood particularly senses and emotion which play the tinkering precursors to evolutionary function that are excluded now as well as the likelyhood that prediction error and prediction are but mistaken precursor computational bottlenecks to unpredictability. Pushing AI into the 4% of a process materially identified as entorhinal is way premature.

This approach simply follows suit with the blundering reverse engineering of the brain in cog sci where material properties are seen in isolation and processes are deduced piecemeal. The brain can only be understood as a whole first. See rhythms of the brain or unlocking the brain.

There’s a terrifying lack of curiosity in the paper you posted, a kind of smug synthetic rush to import code into a part of the brain that’s a directory among directories that has redundancies as a warning: we get along without this.

Your and their view (OSM) is too narrow. eg categorization is baked into the whole brain. How? This is one of 1000s of processes that generalize materially across the entire brain. Isolating "learning" to the allocortex is incredibly misleading.

https://www.cell.com/current-biology/fulltext/S0960-9822(25)...


Really nice idea.

Have you tried tabsdata and they're implementing with Rust with Python binding, with around 100 MB standalone binary [1].

It advertised as pub/sub for tables but it can perform ETL as well.

[1] Tabsdata: Pub/Sub for Tables:

https://tabsdata.com/


Thank you. I’ll check that out. Are you the developer? Are you in the data engineering space?

Really good idea, perhaps you can include some simple guidelines for long term investment as well.

Looking forward for the publication of the book and buying it.


Why stop at relational, we should go all the way to include spreadsheets, matrices and graphs as in D4M [1].

D4M can caters to most modern data abstractions including spreadsheets, database tables, matrices, and graphs based on associative arrays [2].

>For software engineers, databases are one of the biggest power tools available to us, up there with compilers and full featured operating systems.

D4M team even proposed a new and elegant associative array based operating system namely TabulaROSA that probably can settle the monolithic vs micro kernel debates by Torvalds and Tanenbaum for good [3].

That left us with a powerful programming language to go with them. As a comprehensive programming toolkit nothing come even close to D language in term expressiveness with its Compile Time Function Evaluation (CTFE) features among others that Zig and C++20 are blatantly copying [4].

[1] D4M: Dynamic Distributed Dimensional Data Model:

https://d4m.mit.edu/

[2] Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs:

https://arxiv.org/abs/1501.05709

[3] TabulaROSA: Tabular Operating System Architecture for Massively Parallel Heterogeneous Compute Engines:

https://arxiv.org/abs/1807.05308

[4] D language features:

https://dlang.org/comparison.html


Alfred Menezes has also written a Handbook of Applied cryptography that can be accessed and download for free:

https://cacr.uwaterloo.ca/hac/


And co-authored the "another look" papers at https://anotherlook.ca/

>CUE:I would just use TypeScript instead of this programming language.

Unlike TypeScript, CUE is not a Turing complete programming language, it's meant to be used with other proper programming languages.

CUE is the probably the best of the bunches for configs, including yours.

Some times minimal is not what you want since it will be deficient as "Everything Should Be Made as Simple as Possible, But Not Simpler".


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