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Artificial Intelligence (AI)

The Difference Between AI and Machine Learning?

A lot of digital content discusses AI and ML by using them as synonyms, while the leading technology they focus on is supervised learning – a branch of ML, but more on that later.

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Will AI render Software Developers Obsolete

Do you ever read articles mentioning both Artificial Intelligence (AI) and Machine Learning (ML) and ask yourself how do these relate and how do they differ from each other? Don’t worry; you’re not alone in this struggle. Our global society is becoming increasingly digitised, and chatbots, speech processing devices and intelligent mobile app algorithms are all around us, so you better catch up with the trends. It is time to demystify the concepts of AI and ML and finally bring some clarity into the blurry picture.

From my practice working in a bespoke software development company, I hear and read about deep learning, neural networks and autonomous systems all the time. This article puts the main differences between those buzzwords in the spotlight and reveals what hides behind it all. Some companies only claim to use AI to market their products better, hoping that only true tech enthusiasts will notice the difference. While there are indeed lots of overlapping technologies behind AI and ML, here are the fundamental difference setting them apart:

1. The Core of AI and ML as Technologies

A lot of digital content discusses AI and ML by using them as synonyms, while the leading technology they focus on is supervised learning – a branch of ML, but more on that later. Artificial Intelligence is a subsector of Information Technology (IT) that focuses on developing machine algorithms that simulate natural human intelligence and automating them to behave in a way that exerts intelligence.

The main areas that concern AI is learning from experience and efficient problem-solving. As John McCarthy, the father of AI, once put it, AI mimics human intelligence but is not constrained by biologically observable methods.

Machine Learning, on the other hand, is a subset of AI that concentrates on developing computer algorithms that get machines closer to learning like actual humans. Here is a Venn diagram to make it simpler. The recognition of distinct patterns and pattern regularities and the subsequent derivation of suitable solutions are the tasks that this technology masters.

An algorithm needs to be fed existing databases to learn to recognise and follow the patterns for this to happen. The ML generates artificial knowledge derived from its previous experience. All the knowledge that is gained can be generalised and applied for solving other problems. This approach allows previously unknown data to be processed and used quickly.

2. Types of Artificial Intelligence

Generally speaking, there are two main types of AI: weak (narrow) and strong (general). Most of the AI-powered software solutions we come across are weak ones, and it is called like that because it can only perform several tasks well, meaning it has limited functionality.

The narrow type of AI can successfully handle simple problem-solving tasks after the appropriate training period. Some of the main areas where narrow AI can shine are text, speech or image recognition, navigation systems, streaming services etc.

The second type of AI – the strong one, is yet to be fully developed. It refers to programming machines to perform complete tasks, requiring general intelligence and human-like consciousness. These types of futuristic robots will be able to think autonomously without special training. They will most like show some level of self-awareness, while it is not expected that narrow AI will reach such a cognitive awareness state.

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3. Types of Machine Learning

While we wait for this general AI type to become more than a far-fetched concept, let’s discuss the main subdivisions of ML, shall we? There are three core ML types: Supervised Learning (SL), Unsupervised Learning (UL) and Reinforcement Learning (RL). SL is when software developers instruct the algorithm to learn something, e.g. differentiate between a snail and a turtle by designing training and data sets.

These include input values (e.g. object features) with labels and the desired outcome (e.g. proper classification). For example, supervised learning already helps automate X-ray readings, face recognition, malware detection or weather forecasting.

UL stands for using only input data without a previously defined goal or human supervision. For instance, ML experts use unlabeled dataset, such as animal pictures without the labels ‘’snail’’ and ‘’turtle’’ with the goal that the program makes meaning of the data and detects underlying structures on it own.

The last type of ML is reinforcement learning is based on the reward principle. It all starts with an initial state without any background information, and the program must perform an action, and the system receives negative or positive feedback. The process continues until the desired shape is reached.

4. Deep Learning and Neural Networks

When reading about AI, people often stumble upon two other buzzwords, causing a mild degree of confusion, so let’s also explore what deep learning and neural networks mean. First, to cast some light on the two concepts, I should mention that deep learning is a subfield of machine learning, and the most widely used method for deep learning is by utilising neural networks.

The neural network concept has its foundation in the human biological networks in the brain, which receive signals from nearby cells and decide whether this signal is important and if they should send it further. In the context of machines, the input, e.g. cat’s picture, plays the role of a signal, which is transmitted through different layers and to get to the output (result), which can be if the system decides to categorise the picture as a cat. Applied to more complex scenarios, deep learning using neural networks are behind self-driving cars or voice control systems.

5. What are the Use Cases of AI

I hope you now recognise the differences between AI and ML and that all the attention around these trends is well deserved. Once again, human beings prove that with the right knowledge, using the right tools and techniques, countless inspiring solutions can be developed in the future.

Some of the most promising business domains where AI is already improving core processes are supply chain management, automated quality control, self-driving vehicles, automated support processes (e.g. ticketing systems, chatbots etc.), predictive maintenance. Moreover, AI carries a huge potential to facilitate innovation in the R&D (Research and Development) sector as Big Data and Data Analytics become inseparable parts of obtaining powerful data insights and drive businesses forward.

Aleksandrina is a Content Author at Dreamix, a custom software development company, and is keen on innovative technological solutions with a positive influence on our world. Her teaching background, mixed with her interest in psychology, drives her to share knowledge. She is an avid reader and enthusiastic blogger, always looking for the next inspiration.

We are an Instructor's, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

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Artificial Intelligence (AI)

The Best Top 10 Discord Bots: 2022

Discord bots are required for a well-run Discord server. Bots for Discord may automate moderation chores and add music, polls, games, giveaways, and other features.

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The best top 10 discord bots

Discord bots allow you to interact with other server users while simultaneously moderating it. A discord bot may send server messages, direct messages to users, ban users, promote and demote users, and much more.

As a server owner, you may not always be available to monitor your server, but a bot can, and it can do it far more quickly.

Discord bots are required for a well-run Discord server. Bots for Discord may automate moderation chores and add music, polls, games, giveaways, and other features. A simple Google search for “Discord bots,” on the other hand, returns millions of results, which will take a long time to filter through.

Discord Bots: What Are They and How Do They Work?

Discord bots are artificial intelligence-powered programs that can help you automate Discord server tasks. They make building a fully engaged community much more accessible and may be used to control your server, welcome new members, or even ban those causing difficulties for the rest of the community.

Aside from regulating, Discord bots allow you and your users to share games, music, memes, and other entertaining, engaging, and delightful content.

Here is a good discord bot list that can enhance your experience, and matches your wish list and the expectations you keep from a good discord bot.

1. MEE6

MEE6 is a fantastic Discord bot for those time-consuming moderating tasks you don’t want to undertake. Outside links, spam, spoilers, and foul language are all transgressions that the bot can look for in your Discord server’s messages.

MEE6

You may mute, kick, or even permanently ban a user after a certain number of offenses within a specific time frame. This bot can also play music for your users and assign different levels of participation. Twitch and YouTube are also supported.

2. Chip

Chip is a free music bot on Discord. Allow users to listen to music from Twitch, Bandcamp, YouTube, Mixer, Vimeo, and SoundCloud on your Discord server. Chip also allows users to create playlists, shuffle, skip, move, rewind, loop, and show song lyrics, as well as shuffle, skip, move, rewind, and loop songs. Voice, treble, bass boost, and an equalizer, are all accessible audio controls provided by the bot.

3. Dank Member

Dank Member

If memes are your love language, Dank Member is the Discord bot for you. You’ll get bot instructions to help you add the perfect meme or build your memes. Dank Member also has a monetary system in which users may earn coins through gambling, stealing from other players, and other means. The money may be exchanged for entertaining products at the bot shop.

4. Hydra

Hydra is a music-streaming bot for Discord that lets your users listen to music from Bandcamp, Spotify, YouTube, Deezer, and Soundcloud. Like Chip, Hydra contains many audio features, such as looping, shifting, replaying, skipping, voting, and shuffling.

You may also look up song lyrics and other information. Hydra includes various unique features for administrators, including the ability to restrict specific users from using the bot, change the language, announce the current song, limit the number of times a song may be played, and more.

5. Groovy

Groovy is one of the most popular Discord bots for music. It enables members to play music by allowing them to upload files, access websites, or search for specific tunes. Like the other music-related Discord bots we’ve examined, Groovy lets you create a queue that you can use to skip tracks, shuffle, repeat, empty, and more. You may also look for song lyrics.

Groovy

6. Apollo

Apollo is a Discord scheduling bot that makes organizing and scheduling events and meetings a breeze. You may either delete the event post or schedule it to disappear at a specific time when the event is over. With this bot, you’ll be able to send messages to event attendees and set up repeating events.

7. Arcane

Arcane is a Discord bot that will most likely appeal to YouTube influencers. A leveling and moderating bot allow you to set XP and provide members incentives. You may utilize the auto-moderation capabilities to keep track of new and leaving members, prevent spam, block specific phrases, and mute, warn, kick, or ban users who disobey the rules on your server. YouTubers may also use it to receive notifications from YouTube when a new video is released on their Discord server.

Arcane

8. ProBot

ProBot is a multipurpose bot with welcome images, extensive logs, social commands, music, moderation, and more. You may add welcome messages automatically, track server rule violations, warn offenders, and even kick them out. ProBot is also multilingual, with 13 different languages supported.

9. GiveawayBot

A giveaway does wonders when it comes to getting your server members enthusiastic and engaged. GiveawayBot makes it simple to run a giveaway on your Discord server. You may use this Discord bot to automatically start a giveaway, select a winner, and stop the offer.

10. Tip. cc

Tip. Cc allows you to transfer over 127 different forms of cryptocurrencies as tips on Discord at no charge. It allows you to tip anyone, regardless of whether they have a cryptocurrency wallet, and you may tip numerous people simultaneously. Bitcoin, Ethereum, Tether, and a slew of other cryptocurrencies are all supported by Tip. Cc.

How to Activate a Bot on a Discord Server

It’s simple to add Discord bots to your server once you’ve decided on the ones you want. You may utilize the links or a bot list like the top: Gg or a simple Google search. After you’ve discovered the bot, click the Invite or Add option and select the server to which you’d want to add it. Discord bots can only be added to servers where you have admin or mod privileges. You should be able to utilize the bot immediately after it’s uploaded to your server.

Conclusion

Discord bots are an excellent method to boost your marketing, especially if you’re in a membership or subscription company. To keep your members engaged in your brand and what you have to offer, you’ll be able to build an engaging and exciting atmosphere for them.

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