It wasn't clear from the title that this is a db designed for embedded devices (unlike for example SQLite that belongs to the family of in-app embedded databases).
One of the interesting features in this db is wear leveling a technique used for prolonging the service life of flash storage media.
Not sure about the cheaper model part, because one cannot transform trivially a big SOTA langage modeling models into a digital assistant. So maybe they are not using a cheap ML model after all ...
Also, for a digital assistant the input is not only the spoken commands, it can also be: time of the day, weather, location, etc
The fact that a machine learning model can solve a seemingly hard task A does not automatically translate to solving a lesser hard task B. Conversational AI that understand the intent remains a really hard problem even if speech recognition for English is basically solved.
We used it in a project that performed document recognition and analysis. It was useful for aligning the fields to be extracted from the source image as we formulated it as an optimization problem.
It was straightforward to use and it contains some neat loss functions that reduce the effect of outliers (e.g. CauchyLoss).
The author talks about AI management solutions that will reduce management head count as if such solutions are available and ready to use. But I'm not aware that such solutions are available yet.
I'm not so sure about that. Of course computers can do arithmetic operations, but this is not the same as solving math problems, proving theorems, etc.
Even mathematical objects are approximated up to an approximation error in a computer (like a differentiable manifold or a real number).
Hope that they will extend this regulation to not just mobile phones, tablets and cameras but also to electric razors, hair care appliances, toothbrushes, home appliances, etc ... considering that many big EU corporations manufacture those products, maybe the likelihood is low ?
It would be nice if those same EU regulations where applied to all industries and not some specifically designated ones. For example my German Braun Shaver Charger will not be impacted by this regulation ...
I’ll just use xxHash family, murmur hash family or even FNV.
For crypto, BLAKE2 is a cryptographic hash that’s faster than SHA,MD5, etc and is at least as secure as the SHA-3.
Yes, because SHA256RNDS2 aid the implementation of the update function of SHA256. We should invoke it multiple times on the message blocks, it performs two rounds out of the 64 SHA256 rounds.
Not the OP, but those extensions implements cryptographic hash functions, they are not very suitable (too slow) for hash-tables and other hash based data structures.
At first, you can experiment with "extreme" input that can cause overwriting like: a photo of Marylin Monroe, etc. To search using reverse image search I use yandex, and I downsample the image.
The first thing that I try after generating an image from DALL-E is using reverse image search. I do it on every image that I intend to use, more often than not, I find a very similar image, in this case I discard it and vary my prompts.
> The headline is "Gas crisis sends euro back below parity against dollar."
> Yet the article does not explain how a "gas crisis" leads to a weaker currency.
It wasn’t clear (at least for me) why gas has such an impact on the economy as a whole because many articles concentrate the debate on the private households heating only.
But currently, most of the gas is used in the industrial sector (chemicals, power supply, food preparation), also for electricity generation and for producing materials such as ammonia, plastics, methanol and hydrogen.
We use Azure and Linode for all of our cloud services. The number one reason: we can contact human support at any time and we have a designated customer success manager. In many situation this proved to be critical, especially for resolving paiement issues, etc
This is the first time I hear about memgraph, its really interesting because I'm beginning a project that involves the analysis of some large graphs.
Sometimes, before using a lib, I dig into the GitHub repo. So here, I viewed their implementation of a ring buffer (memgraph/src/data_structures/ring_buffer.hpp).
I was surprised with what I found, especially the sleep after adding an element and the loop just before a spin-lock. Not sure, if this is a good implementation, I hope if a more knowledgable person could explain to me this piece of code.
As I understand from reading Vaclav Smil's “How the World Really Works”. Replacing fossil fuels by renewables isn't simple:
"we are a fossil-fueled civilization whose technical and scientific advances, quality of life, and prosperity rest on the combustion of huge quantities of fossil carbon, and we cannot simply walk away from this critical determinant of our fortunes in a few decades, never mind years."
> Does this suggest we can expect enforcement of IP protection to fade everywhere someday soon?
It could also be the other way around: in order to expand to new markets, Chinese companies will be obliged to comply with patents/copyrights laws. You can see that for instance Tencent and Huawei are AOM members, they can't simply use AV1 without license ...
Interesting when testing with inputs like "Oscar Wilde photo" or "marilyn monroe photo" and comparing to a Google image search. After some iterations we can have quite similar images but the faces are always blurry.
It’s the same problem with those ML models, the other day someone generated a children’s book using GPT3, turned out that there is a real children's book with the same name and a very similar content: The Very Lonely Firefly by Eric Carle.
For me the book that changed my perspective on proofs was : Proofs from THE BOOK by Martin Aigner and Günter M. Ziegler. I always thought that proofs are just means to an end, but this book showed me that proofs can be more interesting than the end result. The book begins with six proofs of the infinitude of the primes, and you can read it in any order. It contains some of the most elegant proofs of mathematical theorems.
Just to clarify, this is what C++ templates do, they can create specializations for you, because templates are processed at compile-time. But its not how generics works for most languages (runtime, type erasure, etc).
Many military analysts predict that Russia will come out of the conflict as a much weaker country especially with the recent flood of heavy weapons that are being sent to Ukraine.
In comparison NATO expenses are at least 70% of Russia's GDP and we can see from the past that NATO has already coordinated military operations (in Operation Allied Force, NATO deployed 1031+ aircraft and 30 warships & submarines, and in 2011 it performed an operation that lasted 222 days with virtually no impact on the coalition members).
With that said, one can expect that there will be no possible 'consequences' if Finland/Sweden join NATO.