Create your first intelligent bot with Microsoft AI
Artificial intelligence (AI) is accelerating the digital transformation for every industry, with examples spanning manufacturing, retail, finance, healthcare, and many others. At this rate, every industry will be able to use AI to amplify human ingenuity. In this e-book, Anand Raman and Wee Hyong Tok from Microsoft provide a comprehensive roadmap for developers to build their first AI-infused application.
Using a Conference Buddy as an example, you’ll learn the key ingredients needed to develop an intelligent chatbot that helps conference participants interact with speakers. This e-book provides a gentle introduction to the tools, infrastructure, and services on the Microsoft AI Platform, and teaches you how to create powerful, intelligent applications.
(originally published on Medium)
Flutter provides a modern react-style framework, rich widget collection and tooling, but there’s nothing similar to Android’s guide to app architecture.
Indeed, there’s no ultimate architecture that would meet all the possible requirements, yet let’s face the fact that most of the mobile apps we are working on have at least some of the following functionality:
Taking this into account I have created a sample app that is solving exactly the same problem using three different approaches to the architecture.
Hi, I'm one of the developers of the sharded blockchain Near Protocol, and in this article want to talk about what blockchain sharding is, how it is implemented, and what problems exist in blockchain sharding designs.
It is well-known that Ethereum, the most used general purpose blockchain at the time of this writing, can only process less than 20 transactions per second on the main chain. This limitation, coupled with the popularity of the network, leads to high gas prices (the cost of executing a transaction on the network) and long confirmation times; despite the fact that at the time of this writing a new block is produced approximately every 10–20 seconds the average time it actually takes for a transaction to be added to the blockchain is 1.2 minutes, according to ETH Gas Station. Low throughput, high prices, and high latency all make Ethereum not suitable to run services that need to scale with adoption.
We love our .NET community that is filled with amazing developers writing fantastic blogs, libraries, presentations, and pull requests every week. We are always looking for ways to highlight this amazing work, and for over 4 years the ASP.NET team here at Microsoft has been hosting their ASP.NET Community Standups live on YouTube and now Twitch.
During the stream, they show off the latest and greatest community contributions along with all of the great open source work that the teams have been doing. As the .NET community expands so should the community standups, which is why we are pleased to introduce the expansion of their community standups that we officially call the “.NET Community Standup” series. These community standups span multiple teams and products in the world of .NET and show off the amazing work the community is doing.
Have you ever thought — How to explain programming to the one never faced it before? It could be a problem, as long a new one will not understand you.
So, let's imagine — you have a friend, who is not soiled by computer science, never tried to automate something, never played factorio, never written a single line of code.
So, let's imagine a normal human being.
And let's call him Bill. He is not very good in Maths, just “not good”, but he loves candies!
Your task is to teach Bill some basic(or magic) IT things, you are doing every day. The simplest ones.
So what shall you do first? Basically — FEED HIM!
In the previous blog post, we learned how to filter, sort and group our table. This is a fundamental aspect of every CRUD application because most of the time users have to deal with hundreds of hundreds of records.
With Part 3 of this series of blog posts, we will learn how to create a Master-Detail application leveraging the SplitApp UI control and how correctly configure the app’s manifest to handle routes and targets.
Let's imagine that you are developing software and hardware appliance. The appliance consists of custom OS distributive, upscale servers, a lot of business logic, as a result, it has to use real hardware. If you release broken appliance, your users will not be happy. How to do stable releases?
I'd like to share my story how we dealt with it.
While pg_probackup 3 is still in the works and not yet available to the public, let’s dive into what’s new under the hood. There’s a lot to unpack — from a completely reimagined application architecture to long-awaited features and seamless integration with other tools.
За последнее время я вижу всё больше споров на тему двух популярных GitOps инструментов: Argo CD и Flux CD.
На самом деле я считаю такие споры необоснованными, потому что глубоко убеждён что внимания заслуживают оба инструмента и каждый из них хорош для решения своего круга задач.
В своей профессиональной деятельности я активно использую и тот и другой. Я хочу поделиться с вами своим мнением и кейсами использования. Надеюсь эта статья поможет вам выбрать наиболее подходящий инструмент под ваши нужды.
DDoS attacks send ripples on the ocean of the Internet, produced by creations of various sizes - botnets. Some of them feed at the top of the ocean, but there also exists a category of huge, deep water monstrosities that are rare and dangerous enough they could be seen only once in a very long time.
November 2021 we encountered, and mitigated, several attacks from a botnet, that seems to be unrelated to one described and/or well-known, like variants of Mirai, Bashlite, Hajime or Brickerbot.
Although our findings are reminiscent of Mirai, we suppose this botnet is not based purely on propagating Linux malware, but a combination of brute forcing and exploiting already patched CVEs in unpatched devices to grow the size of it. Either way, to confirm how exactly this botnet operates, we need to have a sample device to analyze, which isn’t our area of expertise.
This time, we won’t give it a name. It is not 100% clear what we are looking at, what are the exact characteristics of it, and how big this thing actually is. But there are some numbers, and where possible, we have made additional reconnaissance in order to better understand what we’re dealing with.
But let us first show you the data we’ve gathered, and leave conclusions closer to the end of this post.
On implementing streaming algorithms, counting of events often occurs, where an event means something like a packet arrival or a connection establishment. Since the number of events is large, the available memory can become a bottleneck: an ordinary 
-bit counter allows to take into account no more than 
events.
One way to handle a larger range of values using the same amount of memory would be approximate counting. This article provides an overview of the well-known Morris algorithm and some generalizations of it.
Another way to reduce the number of bits required for counting mass events is to use decay. We discuss such an approach here [3], and we are going to publish another blog post on this particular topic shortly.
In the beginning of this article, we analyse one straightforward probabilistic calculation algorithm and highlight its shortcomings (Section 2). Then (Section 3), we describe the algorithm proposed by Robert Morris in 1978 and indicate its most essential properties and advantages. For most non-trivial formulas and statements, the text contains our proofs, the demanding reader can find them in the inserts. In the following three sections, we outline valuable extensions of the classic algorithm: you can learn what Morris's counters and exponential decay have in common, how to improve the accuracy by sacrificing the maximum value, and how to handle weighted events efficiently.