3.What's an ugly smiling face?
It's the cat from curved space.
V. Komen, I. Tikhonenkov
Here we are discussing in general the majority of metrics for a stationary gravitation fields in one dimension. The only accepted approach so far to apply the equations of field (A. Einstein):
Today I would like to discuss the games Chess and Go, the world's champions, algorithms and Al.
In 1997, a computer program developed by IBM Deep Blue defeated the world Chess champion Garry Kasparov. Go remained the last board game in which humans were still better than machines.
Why is that?
Chess is primarily distinguished from Go by the number of variations for each move. Chess, the game is more predictable with more structured rules: we have value for each figure (e.g bishop = 3 pawns, rook = 5 pawns -> rook > bishop), some kind of openings and strategies. Go, in turn, has incredibly simple rules, which creates the complexity of the game for the machine. Go is one of the oldest board games. Until recently, it was assumed that a machine was not capable of playing on an equal footing with a professional player due to the high level of abstraction and the inability to sort through all possible scenarios - exactly as many valid combinations in a game on a standard 19×19 go-ban are 10180 (greater than the number of atoms in the visible universe).
However, almost 20 years later, in 2015, there was a breakthrough. Google's Deep Mind company enhanced AlphaGo, which was the last step for the computer to defeat the world champions in board games. The AlphaGo program defeated the European champion and then, in March 2016 demonstrated a high level of play by defeating Lee Sedol, one of the strongest go players in the world, with a score of 4:1 in favour of the machine. A year later, Google introduced to the world a new version of AlphaGo - AlphaGoZero.
V. Komen, I. Tikhonenkov
In the previous post we've considered a model example of a motion of a free particle within a uniform gravitation field where a coupling to the field is defined by an observed inertion mass (see eq. (2) in https://habr.com/en/articles/739714/). The equation of motion was:
Yes, we need IT
The foundation of our civilization is tools. We didn't just evolve to a state that allowed us to use them, we began to improve them ourselves. The tools are becoming more intricate, more efficient and more perfect. It can be a hammer, an industrial robot, or a monetary relationship.
Some of our tools are difficult to grasp or comprehend, they are more like an element or a subject of study: the Internet, the media, the transport system. It is even difficult to call them tools, rather it is a reflection of our activities. For simplicity, we will call everything that people do with their own hands a tool, meaning that they speed us up, make our life easier and more comfortable.
Why do we need tools? On the one hand, they help to solve emerging problems, on the other hand, they raise the standard of living. We enjoy creating tools. I would say it's one of our instincts.
For the functioning of our body, we need some amount of mathematics. The processes in our head reflect this math into our language. We can write the language in the form of symbols. With the help of symbols, we can convey the discovery of one person to another or a thousand others. This allows us to build more and more complex tools. And most importantly, we really like it: the brain encourages us every time we invent or achieve something. Therefore, our tools are developing with us. The mechanisms of their development and improvement are sewn into us.
Migratory birds fly south in autumn, north in spring. It's their instinct. Ants build an anthill — it's their instinct. If people are left in satiety and peace, they begin to encode secret messages in the Bible, create complex etiquette, form mathematics, experiment with materials.
Hi Everyone,
I would like to draw your attention to some key insights from two comprehensive reports, shedding light on the importance of fraud prevention as a burgeoning field with substantial job prospects. The original reports can be accessed through the link provided at the end of this message.
Firstly, let's consider a couple of significant events from the previous year that remain highly relevant. Retail e-commerce sales surged to a staggering $5 trillion, with projections indicating a further increase to $8 trillion by 2026. Furthermore, the percentage of shoppers making cross-border purchases rose from 69% in 2019 to an impressive 76%.
These statistics affirm that online shopping is not a passing trend, as consumers are willing to make purchases from international vendors, even if it means enduring longer delivery times in exchange for lower prices. From a fraud prevention perspective, this highlights the escalating number of non-domestic payments and the rise in the use of lost or stolen cards for purchasing goods that can be resold in the future. Notably, refund fraud is becoming increasingly prevalent. However, many businesses have adapted their protocols to accommodate these emerging challenges. One such positive development is the gradual disappearance of restrictions on using payment methods that do not match the account country.
As cross-border purchases continue to proliferate, alternative payment methods are also on the rise. Current global statistics indicate that an average of four payment options are now available on merchant platforms. Additionally, open banking payment transactions are projected to surpass $330 billion globally by 2027, leading to a greater diversity of alternative payment methods. As companies embrace these methods, they are also becoming more aware of the associated risks. For instance, direct banking payment methods present unique challenges as they lack refund capabilities, while Buy Now Pay Later (BNPL) options introduce their own set of risks.
Uniform gravity, can it exist?
1. The motion of a free particle-like cat
V. Komen, I. Tikhonenkov
Good morning! You've woke up. Having prepared coffee and toasts of bread you are drifting from a kitchen to a table before a large wall TV. The left hand keeps a small plate with toasts and the right one controls coffee level within your beloved mug. The life is plotted out for ten seconds to come. But Ervin is already worried that you, as usual, made conspiracy and decided not to share your breakfast with him. So the damned cat thrusts himself across you pass, hits your legs. By the next moment the plate, toasts and the mug are falling. And – yes! All those precious things reached a floor level by the same time. Physics...It's how it shows up, unexpected. And we used to identify ourselves as physicists. The unexpected thing is that we still do. It's whence our motivation originates. We cannot pass by any falling objects quietly.
I explain experimental results of Bell’s Theorem by superdeterminism. I follow with insights into how such a universe may arise and be compatible with the subjective experience of free will.
Push notifications are similar to promoters. You're peacefully walking down the street, and suddenly promoters approach you, urging you to take their flyers. You take them, but you don't read them and throw them into the nearest trash can.
The same goes for push notifications. You're reading an article, and suddenly a notification pops up with a promo code for free delivery of products. Then another one arrives, informing you about a giveaway. And then another one, offering a discount on all fruits. Notifications can appear on your screen at any time. If there are too many of them, your reaction is either to ignore them or disable them.
In this article, we will talk about how to write push notifications that people will click on and show you how to build a push notification strategy. At the end, we will provide a template for a push notification strategy.
Push Notifications - What is it?
A push notification is a pop-up message on a smartphone screen. To send one, you need to use a delivery service. You can send a notification instantly, schedule it for a specific time, or set up a trigger-based delivery - a chain of notifications that will be triggered by specific user actions.
Triggered push notifications are sent after a specific action is taken. For example, if a person starts adding items to their cart but doesn't complete the purchase, you can send them a notification urging them to complete the transaction after a certain period of time.
Notifications are sent to users who fall into specific segments for targeting. Segments are formed based on specific events. For example, the event "6 hours ago, a product was added to the cart but no purchase was made" will divide users into two segments: those who made a purchase and those who didn't.
As a product owner, it is common to face the question of whether to proceed with option A or option B. Or, which version of the screen should be implemented to achieve better results? Making such decisions can be challenging, especially when you are under tight deadlines with limited resources. Furthermore, such decisions are made based on personal judgment or copying the approach of a competitor, which can lead to suboptimal results.
The good news is that one can avoid such pitfalls by setting up a simple experiment environment that requires relatively low effort. In this article, we will describe how you can achieve this.
Every day a new neural network appears and every day more opportunities are opened to designers to simplify their workflow. Someone fundamentally refuses to use them, because “there is no life in machinex and technologies”, and someone is only happy to find a way to reduce the amount of work. Personally, I belong to the second type and want to share the most detailed gait on neurons I have acquired lately.
The life of Langton's Ant seems sad and lonely, but, as we'll soon discover, he is not ready to put up with such an outrageous situation and is trying his best to escape. American scientist Christopher Langton invented his ant back in 1986. Since then, no one has been able to explain the strange behavior of this mysterious model...
On the Internet and in non-fiction literature you can often find various mathematical tricks. The Collatz conjecture leaves all such tricks behind. At first glance, it may seem like some kind of a trick with a catch. However, there is no catch. You think of a number and repeat one of two arithmetic operations for it several times. Surprisingly, the result of these actions will always be the same. Or, may be not always?
Last week, I introduced you to the world of onchain analysis and explored some of the ways it can be used to gain insights into the cryptocurrency market.
Today, we're taking things up a notch with a tutorial that will guide you through running your own onchain analysis. By the end of this tutorial, you'll have the skills and knowledge you need to start analyzing blockchain data and making informed decisions about your cryptocurrency investments. So let's dive right in and see what insights we can uncover!
This tutorial is built around the Bitcoin blockchain, but many of the techniques are applicable to any other blockchains as long as they have wallets, balances, and transactions.
TL;DR: All AI-based noise cancellations suck, only the physical cancellation technique works! And physical cancellation is implemented well only in Jabra devices yet, but other features suck them! All Bluetooth headsets suck too! So, no solution yet, just complaints!
The environment: I work in a pretty talky office room, where sit around 10 people, and all of them have many online conferences every day, including me. So, silence in the room is a rare situation.
The problem: The main problem is that most of the microphones pick up all side talk pretty loud, which makes it very unpleasant for other people to listen to my voice in meetings!
Hey there, my fellow crypto enthusiast! Are you looking to take your trading game to the next level and gain a deeper understanding of the market trends and behavior? If so, then onchain analytics is the perfect tool for you.
I believe listicles have a huge potential for testing demand hypotheses. Have you tried using listicles for your demand validation? If so - let us know in the comments how this worked for you.
Do you know these "Top N something something" kind of articles? Like:
- 5 best GPS vehicle trackers
- The 14 hair growth products that actually work
- Top 10 Best CRM Software Tools in 2023
They are often referred to as "listicles" - articles presented in the form of a list.
I love them - they make picking a new phone, a movie to watch, an app to install much easier. I also use them at work all the time while looking for solutions to everyday challenges.
So what if we use one of them to benchmark our product against the best available alternatives?
