One of the worse offenders is North which is previously thalmic labs; Not a single product has reached the market with any revenue to show but remains a poster child for a successful organization.
To reach a ketogenic state, the term fast from a clinical sense required 24-36 hour period without any caloric intake; strictly water. I have done 3 day water fasts, the hunger waves need to be controlled the first 2 days, but the feeling is gone after that point.
There are many things to consider, including refeeding syndrome, it is highly advised to seek MD advice prior to undertaking such a diet.
Lastly, there is a ton of research highlighting fasting and its effects on stem cell regenerative properties.
For those who are price sensitive like me but want all our macros; my personal app also scrapes the flyer for local grocery stores for ingredient prices and runs a knapsack algo to reach my cost threshold and tells me what things I can make
Indexing is important for sure. The problem is to preserve privacy and not falling back to heavy weight general purpose Multi-party computation we have to give up a bit on the precision and recall of modern search engines. Minhash, more specifically Locality Sensitive Hashing (LSH) is a good first approximation (Better then Term Freqency, worse them ML based search). Right now much of the web is unqueryable, my first goal was to allow the deep web and TOR services to be searched even at just a rudimentary level.
One step further that Ive prototyped is Encrypted and Distributed Search. The VPN relays willing to take the traffic can also double as Web crawlers. The vpn clients encrypt their search terms and vpn relays encrypt their search indexes, and perform ElGamal Homomorphic private set intersection with MINHASH in Elliptic Curve Field. This leads to better then key word, worse then current age context search from google but with Strong Elliptic Curve privacy guarantees.
I overcame TDMA problems associated with mesh broadcast networks by moving channel allocation logic into the application layer. For me it was more important for reliable delivery then bandwidth. We use geo spatial TDMA to further allocate the channel, two proximity peers would have vastly different time slots. Unfortunately this leaks location data (though most 2GHz channels will). Besides wifi + bluetooth channels, we have leveraged acoustic channels (more so for unidirectional communication from a watch tower to all peers within an ultrasonic range)
Probably for its homomorphic encryption properties. Used in the correct setting with the appropriate Generator ( ElGamal on Elliptic Curve Fields) it is very secure but limited in use beyond Set Intersection as the results cannot be decrypted.
the rust nightly build has the ECC curve functionality. Most of the crypto related prototyping on rust requires the nightly atm. Heres hoping integration onto wide release for the sake of the crypto dev community
they mandate access through a web portal... this in itself is centralization. One can simply tamper with the website. You need to distribute a client software or use an open source dapp explorer type product to prevent data manipulation en-route to the blockchain
I built a prototype of a Private Set Intersetion using elliptic curve homomorphic encryption method for this very use case: The scenario goes
1) FBI indexes the dna using MASH algorithm (minhash like locality sensitive hashing of genomic sequences) of the person they are searching for. They then use homomorphic encryption and post this encrypted data online with a bounty for anyone to claim.
2)Now, individuals and corporations can try to claim the bounty; they also run MASH on their dna databases and encrypt each mash index using the same homomorphic strategy and submit it back to the FBI.
3)The FBI can now complete the private set intersection algorithm on the encrypted data and will only reveal information iff an assailants genealogy is found. The remaining sequences appear cryptographically random and thus protect the privacy of those persons.
I am currently working in blockchain space. If you want to know more feel free to message me.
Starlink I think can consider heavily leveraging a multicast or hypercast protocol considering most bandwidth usage is related to video streams. Many downlinks can accept a broadcast level packet.
How does a system link Starlink handle channel and spectrum allocation?
I think ultimately the price will be determined through government subsidies. Current Meat and Dairy Industry receives massive subsidies (~38$Bn) and the lobbying groups won't appreciate a cut of profits.
The uptake will be great however, what doesnt sit well is the 2008 12Billion bailout. As the same actors will be the nodes that are privileged to write to and maintain the ledger, it has yet to be seen how immutable these transactions will be.
It is a computation platform first and foremost. You can pay gas in ETH. Every opcode has a set gas price, so executing a compiled contract on the network costs you some ETH. Why would you want to run code on ETH?
Most notably, it requires no 3rd party trust to execute the code whereas traditional cloud architectures require you to trust that the execution environment is kosher e.g. amazon vm is not compromised, amazon hardware does not have side channel attack.
It is ideal to write a token or currency on ETH platform as state changes like balances are better left completed on trustless architectures
from my experience, erlang actor model had some of the strongest queue mechanics and the most resilient systems I have deployed. As some background, I worked as a contractor for a telco and built a 6 9's system for their service monitoring using Erlang and its supervisor model. In 3 years the system has always been able to recover from errors with near 0 downtime (the 6 9s comes from production metrics).
1) Can you clarify which users? The government issuing the search query is unable to decrypt the messages. If they flag it, they can order a warrant against the individual to decrypt the message.
2) A random salt is used so only exact keywords will match (I have a fuzzy matching implementation using jaccard similarity and minhashing but that is an extension). To answer your question technically yes, but what you describe would require many interactions with the data source as the content producer must apply the encrypted queries against their encrypted data.
Again, I am trying to provide a solution that is beyond just giving someone the ability to read your private messages without your consent. No doubt it will require work from sidechannel attacks so appreciate any feedback
Im hoping to resolve this using a "searchable encryption" scheme leveraging homomorphic encryption and elliptic curve based el-gamal. This would allow law enforcement to search for key words on encrypted data sets. This prevents leakage for both parties.
THe use case for emails is a tad clunky as the bag of words would require precomputing, however, it is privacy preserving for both parties.
If you feel this is something interesting that you would like to contribute to please msg me. I have working code in javascript (so it may soon be a plugin) and the architecture is decentralized but requires a a single message interaction between the actor querying and the data source.