Computer scientists have launched an app, Bullstop that uses novel artificial intelligence (AI) algorithms to combat trolling and bullying online. Also Read - Salute! Mumbai Police Lauded For Busting International Racket of Fake Social Media Profiles, Arrest 1 Under IT Act

The downloadable app is the only anti-cyberbullying app that integrates directly to social media platforms to protect users from bullies and trolls messaging them directly, the scientists from Aston University in the UK, reported. Also Read - Sushant Singh Rajput Death Anniversary: Rumoured GF Rhea Chakraborty Shares Heartfelt Note, Says 'You Made Me Believe in Love'

Bullstop is available for free and can now be downloaded on GooglePlay. Also Read - Popular Egyptian Belly Dancer Sama el-Masry Jailed For 3 Years Over Sexually Suggestive Videos on TikTok

This application differs from other apps because the use of artificial intelligence to detect cyberbullying is unique in itself, said Semiu Salawu, who designed Bullstop.

Other anti-cyberbullying apps, in comparison, use keywords to detect instances of bullying, inappropriate or threatening language, Salawu added.

According to the developer, the detection AI has been trained on over 60,000 tweets to recognise not only abusive and offensive language, but also the use of subtle means such as sarcasm and exclusion to bully, which are otherwise difficult to detect using keywords.

It uses a distributed cloud-based architecture that makes it possible for classifiers to be swapped in and out. Therefore, as better artificial intelligence algorithms become available, they can be easily integrated to improve the app, Salawu explained.

The team revealed that Bullstop is unique in that it monitors a users social media profile and scans for offensive incoming messages, to ensure the user is not subject to incoming abuse, as well as offensive outgoing messages.

This works via an algorithm which is designed to understand written languages. It analyses messages and flags offensive content, such as instances of cyberbullying, abusive, insulting or threatening language, pornography and spam.

Offensive messages can be immediately deleted from the users inbox.

A copy of deleted messages are, however, retained should the user wish to review them. The app can also automatically block contacts who continuously send offensive messages.

Bullstop is highly configurable, allowing the user to determine how comprehensively the app removes inappropriate messages.

The app currently supports Twitter with support for text messages planned in the next stage of the rollout.

It is hoped that, with continued usage of the app and good results, other social media platforms such as Facebook and Instagram will come on board, allowing their users to benefit from the application.

The app is currently in the beta testing stage which means the researchers invite users of the app to provide them with feedback to allow them to make improvements.

It has already been tested by a number of young people and professionals, including teachers, police officers and psychologists, the authors wrote.

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Artificial Intelligence-Based App 'Bullstop' Developed to Combat Social Media Bullying-Trolling - India.com

For some time now, the United Arab Emirates (UAE) has been adopting artificial intelligence (AI) in the public and business sectors. This is part of the Gulf countrys economic diversification strategy, aimed at transforming the UAE away from an oil-dependent economy to a knowledge-based one. AI is generally conceived as human intelligence processes which are simulated by computer systems, including learning, reasoning, problem-solving, planning, predictive analytics, and advanced robotics.

Like other Arab states, the UAE has advanced a public discourse based on a dominant narrative of nationalism which is meant to solidify its image while reinforcing the Emirati rulers power and legitimacy. Its foundational theme is made up of different frames such as diversity, tolerance, moderation, international cooperation, humanitarianism, and modernity. State leaders use narratives not only to persuade and influence a national and international audience of its image and self-perception, but also as a means to determine its understanding of its place and purpose in the international system.

The Path to Digitization

Branding is relevant to the ways in which countries present themselves internationally and how their reputations can be built or enhanced. By highlighting the ideas, concepts, and policies of AI and innovation, the UAE is signaling its active participation in the digital transformation of the region and its status as a progressive, high-tech, and modernized country. The Emirati leadership is driving this process which seeks to construct a narrative based on the UAE being a nation made up of forward-thinking risk-takers, who actively create opportunities and innovate and ensure that their country becomes an increasingly valuable member of the international community.

The UAE has taken numerous steps to bolster its image and commitment to innovation and technology. The UAEs ambition is to become one of the global leaders in the field as well as the regional hub of AI. In 2017, the UAE became the first country in the world to appoint a Minister of State for AI. The UAEs National Artificial Intelligence Strategy 2031 has recognized the growth potential associated with AI and has set out to increase the competitive edge of this sector in the Emirates while establishing itself as an incubator for AI innovation.

The UAE has recognized the importance of creating more specialized AI programs and professionals, as well as the AI Ministrys need for AI consultants, experts, research institutions, and universities that will provide the required skills, knowledge, and expertise. The establishment of the Mohammed bin Zayed University of Artificial Intelligence is an important and innovative step in its quest, which will help facilitate this endeavor. Ajman University has also announced a graduate program in AI, scheduled to commence in the academic year 2020-2021. Dr. Karim Seghir, the Chancellor of Ajman University, said: Its not going to be long before AI takes over many aspects of life, including business (products and services), education, defence, entertainment, medicine, law, government, and even politics and social life.

In March 2014, the government of Dubai announced the Smart Dubai initiative in order to make Dubai a leading smart city. AI has been the trigger and the technology behind the facilitation of Smart Dubai. A smart city requires a digital infrastructure that can link the various sensors, devices, and machines to make up the public system so they can exchange information in real-time. For city governments, the challenge will be to ensure that the huge volumes of data created by smart cities remain safe. Other initiatives created for this purpose are Ibtekr, the first interactive platform designed by the Mohammed bin Rashed Center for Government Innovation (MBRCGI), as well as Dubai Future Foundation, which is focused on innovation. In addition, Mubadala, the UAEs leading Sovereign Wealth Fund, alone has reportedly invested $15 billion in a technology fund to subsidize its efforts.

The UAE has already used AI applications and systems in various sectors. For example, in security and police services, it developed a police officer robot. In Dubai, the Water and Electricity Authority employed a customer service robot and used a pilotless flying taxi, which are not yet in service. The main focus of AI is on radar, radio communication, a variety of aerospace technologies, as well as transport and aviation.

More specifically, the UAE AI strategy aims to increase government performance, productivity, and efficiency at all levels and sectors. AI also has a tremendous economic potential that remains untapped both globally and at the GCC level. AI is predicted to contribute $15.7 trillion to the global economy by 2030 and $320 billion to the Middle East economy. Online shopping has grown tremendously in the last decade. According to one forecast, in 2021, over two billion people around the world are expected to shop online, leading to a 20 percent growth in digital commerce sales. AI models indicate that retailers could save about $340 billion by implementing AI solutions and reduce the cost by implementing AI in supply chains. Another benefit is having direct control over supply chains, plus greater flexibility to respond efficiently to disruptions in local markets and being able to adjust to potential vulnerabilities in global market fluctuations.

Part of the innovation narrative in the UAE is based on the necessity to remain competitive in the midst of the Fourth Industrial Revolution (4IR) and the desire to shift the paradigm of being pure adopters of AI to become developers of this technology. According to the UNs 2019 Global Innovation Index, the UAE ranked first among Arab countries, and 36th worldwide, in terms of overall performance on the index, climbing nine spots from its 2015 ranking.

However, expectations must be realistic. A recent Economist report, entitled An understanding of AIs limitations is starting to sink in, warned that despite major advances in the field, the fact remains that many of the grandest claims made about AI have once again failed to become reality and that the state of AI hype has far exceeded the state of AI science especially in regard to the actual implementation of the technology on the ground.

Conclusion

Prior to the outbreak of coronavirus, new technologies were already making many jobs, business models, and older technologies obsolete. Yet the COVID-19 pandemic has accelerated this trend. Put simply, the pathogen has hot-wired the 4IR, pushing more citizens of the Gulf regionand the world at largetoward the digital sphere. Even after a vaccine for coronavirus is developed, GCC member-states will need to continue innovation-led development as the worlds digital transformation moves forward.

In the Gulf region, where there is a disproportionately young population, the brightest and most innovative citizens have a special role to play as pioneers of the 4IR. Growth of these countries high-tech sectors will pay dividends long into the future as the UAE and other countries in the Arabian Peninsula seek to achieve economic diversification and trim down their bloated public sectors by creating more opportunities for tech-savvy citizens in the private sector.

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Artificial Intelligence and Innovation in the UAE's National Discourse - International Policy Digest

Latest added Global Artificial Intelligence in Security Market research study by AMA Research offers detailed outlook and elaborates market review till 2024. The market Study is segmented by key regions that are accelerating the marketization. At present, the market players are strategizing and overcoming challenges of current scenario; some of the key players in the study are Acalvio (United States), Amazon (United States), Cylance (United States), NVIDIA (United States), Intel (United States), IBM (United States), Micron (United States), SparkCognition (United States), Securonix (United States) and ThreatMetrix (United States) etc. The study explored is a perfect mix of qualitative and quantitative Market data collected and validated majorly through primary data and secondary sources.

Free Sample Report + All Related Graphs & Charts @: https://www.advancemarketanalytics.com/sample-report/16844-global-artificial-intelligence-in-security-market-1

The latest edition of this report you will be entitled to receive additional chapter / commentary on latest scenario, economic slowdown and COVID-19 impact on overall industry. Further it will also provide qualitative information about when industry could come back on track and what possible measures industry players are taking to deal with current situation. Each of the segment analysis table for forecast period also high % impact on growth.

Artificial Intelligence in the security market is expected to grow significantly owing to the increasing number of connected devices and the rising number of mobile malware attacks. High Usage of Internet and requirement to work online are contributing to rising in incidents of cyber-attacks as more than the number of computing devices and are being connected to the Internet of Things. Shortage of cybersecurity professionals is one of the major factor driving the demand for AI-based security solutions. Using AI-based solutions for cybersecurity covers much of the need for cybersecurity professionals. Growing adoption of the cloud-based application has given an opportunity to AI in the security market to rise in the forecasted period.

This research is categorized differently considering the various aspects of this market. It also evaluates the upcoming situation by considering project pipelines of company, long term agreements to derive growth estimates. The forecast is analyzed based on the volume and revenue of this market. The tools used for analyzing the Global Artificial Intelligence in Security Market research report include SWOT analysis.

The Global Artificial Intelligence in Security segments and Market Data Break Down are illuminated below:Study by Security Type (Network Security, Endpoint Security, Application Security, Cloud Security), Security Solution (Identity and Access Management (IAM), Risk and Compliance Management, Encryption, Data Loss Prevention (DLP), Unified Threat Management (UTM), Antivirus/Antimalware, Intrusion Detection/Prevention System (IDS/IPS), Others (Firewall, Security and Vulnerability Management, Disaster Recovery, DDOS Mitigation, Web Filtering, Application Whitelisting, and Patch Management)), Technology (Machine Learning, Context Awareness Computing, Natural Language Processing), End users (Government & Defense, BFSI, Enterprise, Infrastructure, Automotive & Transportation, Healthcare, Retail, Manufacturing, Others (Oil & Gas, Education, Energy)), Development (Cloud Deployment, On-Premise Deployment), Offering (Hardware, Software, Services)

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Market Drivers

Market Trend

Restraints

Opportunities

The regional analysis of Global Artificial Intelligence in Security Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2020-2024.

Limited scope research document specific to Country or Region meeting your business objective.GET FULL COPY OF Latest Edition of United States Artificial Intelligence in Security market study with COVID-19 Impact Analysis @ USD 2000

And, 2020 Released copy of Europe Artificial Intelligence in Security market study with COVID-19 Impact Analysis @ USD 2500

Strategic Points Covered in Table of Content of Global Artificial Intelligence in Security Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Artificial Intelligence in Security market

Chapter 2: Exclusive Summary the basic information of the Artificial Intelligence in Security Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the Artificial Intelligence in Security

Chapter 4: Presenting the Artificial Intelligence in Security Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region 2014-2019

Chapter 6: Evaluating the leading manufacturers of the Artificial Intelligence in Security market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

finally, Artificial Intelligence in Security Market is a valuable source of guidance for individuals and companies.

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Definitively, this report will give you an unmistakable perspective on every single reality of the market without a need to allude to some other research report or an information source. Our report will give all of you the realities about the past, present, and eventual fate of the concerned Market.

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Artificial Intelligence in Security Market 2020 Break Down by Top Companies, Applications, Challenges, Opportunities and Forecast 2024 - Jewish Life...

Data Bridge Market Research report titledGlobal Artificial Intelligence Robots Marketprovides detailed information and overview about the key influential factors required to make well informed business decision. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. Our data has been culled out by our team of experts who have curated the report, considering market-relevant information. This report provides latest insights about the markets drivers, restraints, opportunities, and trends. It also discusses the growth and trends of various segments and the market in various regions.

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Our analysts monitoring the situation around the Globe explain that after COVID-19 crisis the market will generate remunerative prospects for producers. The goal of the report is to provide a further illustration of the current scenario, economic slowdown and effect of COVID-19 on the industry as a whole. This is the latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact are covered in the report.

Important Features of the Global Artificial Intelligence Robots Market Report:

1) What all companies are currently profiled in the report?

2) What all regional segmentation covered? Can specific country of interest be added?

Currently, research report gives special attention and focus on following regions:

North America, Europe, Asia-Pacific etc.

** One country of specific interest can be included at no added cost. For inclusion of more regional segment quote may vary.

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Yes, inclusion of additional segmentation / Market breakdown is possible subject to data availability and difficulty of survey. However, a detailed requirement needs to be shared with our research before giving final confirmation to client.

** Depending upon the requirement the deliverable time and quote will vary.

Our analysts drafted the report by gathering information through primary (through surveys and interviews) and secondary (included industry body databases, reputable paid sources, and trade journals) methods of data collection. The report encompasses an exhaustive qualitative and quantitative evaluation.

The study includes growth trends, micro- and macro-economic indicators, and regulations and governmental policies.

Some of the Major Highlights of TOC covers:

Chapter 1: Methodology & Scope

Chapter 2: Executive Summary

Chapter 3: Artificial Intelligence Robots Market Industry Insights

Chapter 4: Artificial Intelligence Robots Market, By Region

Chapter 5: Company Profile

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Region wise analysis of the top producers and consumers, focus on product capacity, production, value, consumption, market share and growth opportunity in below mentioned key regions:

North America U.S., Canada, Mexico

Europe: U.K, France, Italy, Germany, Russia, Spain, etc.

Asia-Pacific China, Japan, India, Southeast Asia etc.

South America Brazil, Argentina, etc.

Middle East & Africa Saudi Arabia, African countries etc.

The subject matter experts analysed various companies to understand the products and/services relevant to the market. The report includes information such as gross revenue, production and consumption, average product price, and market shares of key players. Other factors such as competitive analysis and trends, mergers & acquisitions, and expansion strategies have been included in the report. This will enable the existing competitors and new entrants understand the competitive scenario to plan future strategies.

The Report Provides:

In This Study, The Years Considered to Estimate the Market Size of the Artificial Intelligence Robots Market Are as Follows:

**Moreover, it will also include the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product services of key players.

Important Key Questions Answered in The Artificial Intelligence Robots Market Report:

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Artificial Intelligence Robots Market with Report In Depth Industry Analysis on Trends, Growth, Opportunities and Forecast - Cole of Duty

Why dont planets collide more often? How do planetary systems like our solar system or multi-planet systems around other stars organize themselves? Of all of the possible ways planets could orbit, how many configurations will remain stable over the billions of years of a stars life cycle?

Rejecting the large range of unstable possibilities all the configurations that would lead to collisions would leave behind a sharper view of planetary systems around other stars, but its not as easy as it sounds.

Separating the stable from the unstable configurations turns out to be a fascinating and brutally hard problem, said Daniel Tamayo, a NASA Hubble Fellowship Program Sagan Fellowin astrophysical sciences at Princeton. To make sure a planetary system is stable, astronomers need to calculate the motions of multiple interacting planets over billions of years and check each possible configuration for stability a computationally prohibitive undertaking.

Astronomers since Isaac Newton have wrestled with the problem of orbital stability, but while the struggle contributed to many mathematical revolutions, including calculus and chaos theory, no one has found a way to predict stable configurations theoretically. Modern astronomers still have to brute-force the calculations, albeit with supercomputers instead of abaci or slide rules.

Tamayo realized that he could accelerate the process by combining simplified models of planets' dynamical interactions with machine learning methods. This allows the elimination of huge swaths of unstable orbital configurations quickly calculations that would have taken tens of thousands of hours can now be done in minutes. He is the lead author on a paper detailing the approach in the Proceedings of the National Academy of Sciences. Co-authors include graduate student Miles Cranmer and David Spergel, Princetons Charles A. Young Professor of Astronomy on the Class of 1897 Foundation, Emeritus.

For most multi-planet systems, there are many orbital configurations that are possible given current observational data, of which not all will be stable. Many configurations that are theoretically possible would "quickly" that is, in not too many millions of years destabilize into a tangle of crossing orbits. The goal was to rule out those so-called fast instabilities.

We can't categorically say This system will be OK, but that one will blow up soon, Tamayo said. The goal instead is, for a given system, to rule out all the unstable possibilities that would have already collided and couldn't exist at the present day.

Instead of simulating a given configuration for a billion orbits the traditional brute-force approach, which would take about 10 hours Tamayos model instead simulates for 10,000 orbits, which only takes a fraction of a second. From this short snippet, they calculate 10 summary metrics that capture the system's resonant dynamics. Finally, they train a machine learning algorithm to predict from these 10 features whether the configuration would remain stable if they let it keep going out to one billion orbits.

We called the model SPOCK Stability of Planetary Orbital Configurations Klassifier partly because the model determines whether systems will live long and prosper, Tamayo said.

SPOCK determines the long-term stability of planetary configurations about 100,000 times faster than the previous approach, breaking the computational bottleneck. Tamayo cautioned that while he and his colleagues havent solved the general problem of planetary stability, SPOCK does reliably identify fast instabilities in compact systems, which they argue are the most important in trying to do stability constrained characterization.

This new method will provide a clearer window into the orbital architectures of planetary systems beyond our own, Tamayo said.

In the past 25 years, astronomers have found more than 4,000 planets orbiting other stars, of which almost half are in multi-planet systems. But since small exoplanets are extremely challenging to detect, we still have an incomplete picture of their orbital configurations.

"More than 700 stars are now known to have two or more planets orbiting around them, said Professor Michael Strauss, chair of Princetons Department of Astrophysical Sciences. Dan and his colleagues have found a fundamentally new way to explore the dynamics of these multi-planet systems, speeding up the computer time needed to make models by factors of 100,000. With this, we can hope to understand in detail the full range of solar system architectures that nature allows.

SPOCK is especially helpful for making sense of some of the faint, far-distant planetary systems recently spotted by the Kepler telescope, said Jessie Christiansen, an astrophysicist with the NASA Exoplanet Archive who was not involved in this research. Its hard to constrain their properties with our current instruments, she said. Are they rocky planets, ice giants, or gas giants? Or something new? This new tool will allow us to rule out potential planet compositions and configurations that would be dynamically unstable and it lets us do it more precisely and on a substantially larger scale than was previously available.

Predicting the long-term stability of compact multi-planet systems by Daniel Tamayo, Miles Cranmer, Samuel Hadden, Hanno Rein, Peter Battaglia, Alysa Obertas, Philip J. Armitage, Shirley Ho, David Spergel, Christian Gilbertson, Naireen Hussain, Ari Silburt, Daniel Jontof-Hutter and Kristen Menou, appears in the current issue of the Proceedings of the National Academy of Sciences (DOI: 10.1073/pnas.2001258117).Tamayos research was supported by the NASA Hubble Fellowship (grant HST-HF2-51423.001-A) awarded by the Space Telescope Science Institute.

Read the rest here:
Artificial intelligence predicts which planetary systems will survive - Princeton University

The recent research report titled Global Artificial Intelligence in Marketing Market Report 2020 by Key Players, Types, Applications, Countries, Market Size, Forecast to 2026 (Based on 2020 COVID-19 Worldwide Spread) has been added in the kandjmarketresearch.com database. The Global Artificial Intelligence in Marketing Market Perspective, Comprehensive Analysis along with Major Segments and Forecast, 2020-2026.

Artificial Intelligence in Marketing Market Overview

The global Artificial Intelligence in Marketing market has been studied by a set of researchers for a defined forecast period of 2020 to 2026. This study has provided insights to the stakeholders in the market landscape. It includes an in-depth analysis of various aspects of the market. These aspects include an overview section, with market segmentation, regional analysis, and competitive outlook of the global Artificial Intelligence in Marketing industry for the forecast period. All these sections of the report have been analyzed in detail to arrive at accurate and credible conclusion of the future trajectory. This also includes an overview section that mentions the definition, classification, and primary applications of the product/service to provide larger context to the audience to this report.

Artificial Intelligence in Marketing Market Dynamics

The report on the global Artificial Intelligence in Marketing market includes a section that discusses various market dynamics that provide higher insight in the relationship and the impact of change these dynamics hold on the market functioning. These dynamics include the factors that are providing impetus to the market over the forthcoming years for growth and expansion. Alternatively, it also includes factors that are poised to challenge the market growth over the forecast period. These factors are expected to reveal certain hidden trends that aid in the better understanding of the market over the forecast period. continue reading this report.

The Final Report Will Include the Impact of COVID -19 Analysis about the Artificial Intelligence in Marketing Industry.

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COVID-19 can affect the global market in 3 ways: by directly affecting the production and demand, by creating supply chain and market disturbance, and by its financial impact on enterprises and financial markets.

Key Players

The global Artificial Intelligence in Marketing market report has provided a profiling of significant players that are impacting the trajectory of the market with their strategies for expansion and retaining of market share.

Key Segments Studied in the Global Artificial Intelligence in Marketing Market:

Key Players in the Global Artificial Intelligence in Marketing Market Covered In Chapter 4:

In Chapter 11 and 13.3, On The Basis Of Types, The Artificial Intelligence in Marketing Market From 2015 To 2026 Is primarily split into:-

In Chapter 12 and 13.4, On The Basis Of Applications, the Artificial Intelligence in Marketing Market From 2015 to 2026 covers:-

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Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2026) of the following regions are covered in Chapter 5, 6, 7, 8, 9, 10, 13:-

Market Segmentation

The global Artificial Intelligence in Marketing market has been studied for a detailed segmentation that is based on different aspects to provide insight into the functioning of the segmental market. This segmentation has enabled the researchers to study the relationship and impact of the growth chart witnessed by these singular segments on the comprehensive market growth rate. It has also enabled various stakeholders in the global Artificial Intelligence in Marketing market to gain insights and make accurate relevant decisions. A regional analysis of the market has been conducted that is studied for the segments of North America, Asia Pacific, Europe, Latin America, and the Middle East & Africa.

Research Methodology

The global Artificial Intelligence in Marketing market has been analyzed using Porters Five Force Model to gain precise insight in the true potential of the market growth. Further, a SWOT analysis of the market has aided in the revealing of different opportunities for expansion that are inculcated in the market environment.

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Artificial Intelligence in Marketing Market 2020: Key Players With Product Particulars, Applications, Market Size & Forecast Till 2026 - Jewish...

3 mins read

Technology, in a short time, has transformed the relationship between human and their environment, with each other, and the society at large. Artificial Intelligence (hereby referred to as AI)has found its way in many spheres of our lives. AI finds itself in smartphones, entertainment platforms, hospitals, transportation and outer space, among a plethora of other spaces.

While fears of technology replacing human beings in various roles and occupations loom large, AI provides considerable scope for various domains.

Artificial intelligence isthe ability of computer systems of simulating human intelligence processes and do complex self-corrective tasks.The goal is to create machines and systems which when interacting with the given environment, act accordingly upon the received data in a way that can be considered intelligent.

AI is slowly finding its way everywhere in our lives such as personal assistants like Alexa, face ids, personalised social media feeds and ads, banking, and even Google Maps. AI plays a part in various things says Kshitij from Pixxel, like agriculture, space, everyday things like automatically adjusting your screen brightness, customising ads on Instagram and more.

It is often claimed that AI is still in its primary stage. On the other hand, many would state thatAI would in the near future, gain complete control over humanity. According to the variousprophecies and forecasts, Artificial Intelligence would control the reigns of intelligence, andoutsmart and outperform humans beings at most things considered important yet relativelysimpler tasks, like driving or generating sentences, and so forth.

However, human involvement would remain key in all tasks performed by the AI. The degree of human involvement is that of contestation, as to what tasks and duties are considered important or not important enough to be transferred to Artificial Intelligence.

It is important to see here that AI is performing primarily assistive functions to human beings in a variety of ways. At the same time, humans are always required and involved in creating such systems and ensuring their smooth functioning, so rising up against humanity wont happen in the near future!

AI can work remotely, anonymously and in a personalised fashion. The coronavirus pandemic has proven that working remotely is a possible reality, AI can aid these processes as people do not need to be physically present and can be reached out to even in areas which seem inaccessible. AI can protect the identities of individuals and does not hold the same prejudices that humans do to discriminate against them at the various process. Apps powered by AI have provided aid with mental health, help in translation, and aid accessibility for people with disabilities.

The personalised way in which AI can operate can help teachers track the individual progress of students. This can be done anonymously to avoid the possibility of biases. AI can create individualised ways according to personalised needs of the students. This would not only help the student with individual attention but also assist the teachers with their work. AI can also help with captioning, image description, and language comprehension according to the needs of the students. Since AI can work remotely, it can reach areas considered inaccessible or even those with conflict.

Also read: How Unbiased Is Artificial Intelligence?

Featured Image Source: Atlassian

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Infographic: Artificial Intelligence From World Domination To Inclusive Education - Feminism in India

Artificial Intelligence is the big thing in the world of technology. From self-driving cars to automated robots to NPCs in our games to simple things like AI processing of images in our smartphones, Artificial Intelligence is now entrenched in our daily lives. And if you are looking to have a long future as a developer and get the highest paying jobs, you need to have the required skills to work in the AI field. Thankfully, there are tons of online courses that can not only get you started on AI but also help you become a professional AI developer. To make your life easier, we have listed the 10 best Artificial Intelligence courses online that can help you in your learning journey.

In this article, we have mentioned beginners, intermediate, and advanced Artificial Intelligence courses. So no matter where you are in your Artificial Intelligence learning journey, you will find a course on AI that will help you improve your skills. With that said, lets dive into our best AI learning courses list, shall we?

This course on Artificial Intelligence will teach you to combine the power of Data Science, Machine Learning, and Deep Learning to create powerful AI for real-world applications. This is a big course with 16.5 hours of video lectures, 17 articles, and 1 downloadable resource. Once you complete this course you will also get a Certificate of Completion which you can use in your next job hunting endeavor. Before you start this course, you should know that it requires you to have a basic knowledge of High School Mathematics and the Python language. If you dont know Python, there are several courses on Python that can get you started.

What I love about this course is that it focuses on teaching you real-world application of AI. Going through this course you will build an AI, create a virtual self-driving car, understand the theory behind AI, make an AI to beat games, and more. Also, since this course is on Udemy, you can buy it once and have lifetime access for it. Theres no subscription pricing involved so it is quite light on your wallet. If you are thinking of starting the AI journey, this is the course you should check out. After all, it is one of the best if not the best Artificial Intelligence courses online.

Course Rating: 4.4 (Rated by 11,783 students)

Difficulty level: Beginner to Advanced (requires basic knowledge of Python and high school mathematics)

Buy Course on Udemy: Starting at $13.99

Another great course to help you kick-start your AI learning journey is the Artificial Intelligence Masterclass on Udemy. In this course, you will learn to develop a powerful Artificial intelligence model based on a robust Hybrid Intelligence System. The course cover topics on fully-connected neural networks, recurrent neural networks, AutoEncoders and Variational AutoEncoders, evolution strategies, and more. To help you learn all these concepts, you get 12 hours of step-by-step video guide and the full roadmap which will help you build your own Hybrid AI Model from scratch.

The course also provides a toolkit and that you can use to build hybrid intelligent systems. You also get a Certificate of Completion which comes handy when hunting for a job. The course is great but before you take it you should know its basic requirements. You need to have a working knowledge of high school mathematics and previous coding experience. You dont need to be an expert coder to start this course but this is also not meant for someone who is just starting to code. If you want to build hybrid intelligent systems, then this is one of the best online Artificial Intelligence courses that you can find right now.

Course Rating: 4.5 (Rated by 478 students)

Difficulty level: Intermediate to Advanced (requires basic knowledge of coding and high school mathematics)

Buy Course on Udemy: Starting at $13.99

One of the biggest applications of AI is in games. From generating random maps and levels to creating interactive NPCs (Non-Playable Characters / Non-Player Characters), AI handles a large portion of our games today. If the gaming industry is where you want to apply your Artificial Intelligence skills then this is the course for you. The main purpose of this course is to provide you with a practical guide to program non-player characters for games. The course focuses on developing NPCs in the Unity engine which is a popular gaming engine used for developing games across multiple operating systems.

In this course, you will learn to design and code NPCs in C#. The course will give you a detailed explanation on the use of AI in games and teach you to implement AI-related Unity Asset plugins into existing projects. Finally, you will also learn to work with a variety of AI techniques for developing navigation and decision making abilities in NPCs. The course has 9 hours of video content with 12 articles and 62 downloadable materials. Like other Udemy courses, you can buy it once for lifetime access and will receive a Certificate of Completion after you are done with the course.

Course Rating: 4.2 (Rated by 1242 students)

Difficulty level: Intermediate to Advanced (Requires familiarity with C# and the Unity Game Development Engine)

Buy Course on Udemy: Starting at $13.99

Stanford University is one of the top-most universities in the world and was ranked third in Times Higher Education ranking of universities across the globe. If thats not enough, you should know that this course is taught by Andrew Ng who was the founder of Googles deep learning research unit, Google Brain, Head of AI at Baidu, and is currently the CEO/Founder of Landing AI. The course on AI and ML that we are featuring is available completely online that means you dont have to be physically present at the university to take classes. That also means that it is way cheaper than attending school. The course covers AI and ML from the basics to advanced level so you can get started with your Artificial Intelligence journey. It provides a broad introduction to machine learning, data mining, and statistical pattern recognition.

Its a vast course with 56 hours of content that is spaced over 10 weeks. It starts with basic topics such as Linear Algebra, Linear Regression with Multiple Variables, Logistic Regression, and more and then move onto advanced lectures on Neural Networks, application of Machine Learning, Unsupervised Machine Learning, and more. Not only that, you also get graded assignments and quizzes that will help you go through this course and solve your doubts. Finally, you will also get an electronic certificate of completion from Stanford University which has its value. This is one of the best developed online courses on Artificial Intelligence and you should not ignore it.

Course Rating: 4.9 (Rated by more than 118,348 students)

Difficulty level: Advanced

Subscribe on Coursera: $49/month (financial aid available)

If you want to take a university course like the one featured above but cannot afford to pay for it then you should take this Machine Learning course provide by the Artificial Intelligence faculty of Columbia University. The course is available on edX which provides university-level courses for free. You only have to pay if you want the certificate from University. If you just want to learn then the course is free which is great for users who dont have that kind of cash. Talking about the course, it focuses on AI and ML models and methods and teaches you to apply them to real-world situations ranging from identifying trending news topics to building recommendation engines, ranking sports teams, and plotting the path of movie zombies.

The course takes 12 weeks to complete with 8-10 hours of work required every week. The topics include classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection, and more. The course focuses on both supervised and unsupervised learning techniques so you develop an all-around knowledge or Artificial Intelligence and Machine Learning. Its one of the best courses on Artificial Intelligence online right now.

Course Rating: No course ratings available at edX

Difficulty level: Advanced

Enroll on edX: Free, $375 for Electronic Certificate from Columbia University

Another good course on Artificial Intelligence comes from IBM, a company that has been at the forefront of AI innovation. After you have completed this course you will have a complete understating of Machine Learning and Deep Learning and you will be able to apply them in your professional projects. The course covers the fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will learn to use multiple ML and DL libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow and apply them to solve problems involving object recognition and Computer Vision, image and video processing, text analytics, and more.

One of my favorite things about this course is that it not only teaches you but also makes you apply the knowledge through a system of hands-on projects. You can use these projects to both build your skills and develop your portfolio which will help you during job hunting. You will also earn a certificate that will be recognized by various professional hiring partners that can help you land good jobs. If you want to work in the AI industry this is one of the best Artificial Intelligence courses online that you can take.

Course Rating: No Ratings Available

Difficulty level: Advanced

Subscribe on Coursera: $49/month (financial aid available)

One of the lesser-known applications of Artificial Intelligence is in the field of business where it is used to optimize workflow and processes to enhance business operations and solve real-world problems. If that is what you are interested in then this is the online Artificial Intelligence course for you. Available on Udemy, the course comes with 15 hours of on-demand video lectures, 16 articles, and 1 downloadable resource to help you learn AI for Business. Once you buy it, you can access life allowing you to learn the course at your pace.

Talking about the course structure it starts with the basics of business optimization AI by teaching you how to build an optimization model powered by AI. Then you will learn to use Artificial Intelligence to improve various business processes such as maximizing efficiency, minimizing costs, maximizing revenue, implementing Deep-Q learning, and more. In the process, you will understand how to build an artificial brain and master the general AI framework. This is a great course on AI for anyone who is looking to introduce AI enhancements in their business.

Course Rating: 4.6 (Rated by 1,145 students)

Difficulty level: Beginner (requires basic knowledge of Python and high school mathematics)

Buy Course on Udemy: Starting at $11.39

Microsoft is one of the leading companies that is pushing AI forward. Its doing that by not only using and evolving AI in multiple fronts of its business but also by providing a complete course on AI which anyone can take to start their AI journey. This is a vast course that requires 2-4 months and in total 224-356 hours of effort. It is so vast because its not a single course but consists of 11 courses all of which combine will take you from AI novice to a professional AI developer.

The course starts by introducing you to Python for Data Sciences and then move onto topics such as Deep Learning, Natural Language Processing, Reinforcement Learning, Computer Vision and Image Analysis, Principles of Machine Learning and more. I love that theres even a section on ethics of AI which is something many courses forget to include. After completion of the course, you will receive a certification course from Microsoft which you can use when applying for AI jobs. Overall, I find this to be one of the most complete online course on Artificial Intelligence.

Course Rating: No course ratings available at edX

Difficulty level: Advanced

Enroll on edX: Free (limited access) $980.10

This course provides a complete guide to Artificial Intelligence and prepares you for Deep Reinforcement Learning with Stock Trading Applications. This is an advanced course and requires prior knowledge of Calculus, Probability, Markov Models, Gradient descent, Python, and more subjects. If you are a beginner do not buy this course. With that out of the way, lets take a look at what this course has to offer, shall we?

Well, the course is quite short with only 9.5 half hours of video lectures. However, while the run-time is short, unpacking everything in the classes will take you a ton of time. In this course, you will learn to apply gradient-based supervised machine learning methods to reinforcement learning, understand reinforcement learning on a technical level, and implement 17 different reinforcement learning algorithms. if you want to get into reinforcement learning of AI, this is the course for you.

Course Rating: 4.6 (Rated by 5,528 students)

Difficulty level: Advanced

Buy Course on Udemy: Starting at $11.39

Another premier institute that is offering its Artificial Intelligence online course is MIT. Its AI Implications for Business Strategy course focuses on organizational and managerial implications of these technologies, rather than on their technical aspects. That means its not meant for developers rather for managers who want to pioneer the successful integration of AI in business. It is a 6-week online program (6-8 hours of work every week) that presents you with a foundational understanding of where we are today with AI and how we got here.

The course focuses on three prime AI technologies which include Machine Learning, Natural Language Processing, and Robotics. As I mentioned before the program is meant for managers and high-level executives and aims to help them effectively analyze, articulate, and apply key AI management and leadership insights in their work. So, if you find yourself in a position of instituting AI in your business this is the course you should take. The only drawback of this course is that its quite costly at $3,200. If you can afford to buy it, you should check it out.

Course Rating: 4.8

Difficulty level: Beginner to Advanced

Enroll on MIT Website: $3200

That ends our article on the best online courses on Artificial Intelligence. While I have tried my best to make this as beginner-friendly as possible, you will require a basic knowledge of coding (preferably Python) if you want to get started with AI. Artificial Intelligence is already dominating the core technology and its importance is only going to increase over time. So, check out these courses and select one to start your AI learning journey.

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10 Best Artificial Intelligence Courses Online in 2020 ...

Whether you are a recent graduate or career professional, keep up to date, deepen, and extend your knowledge of artificial intelligence while building your competitive edge in business, industry, or government. A Master of Artificial Intelligence from Illinois Tech will give you this rigorous and practical education in artificial Intelligence and its subfields of machine learning, deep learning, computer vision, natural language processing, probabilistic reasoning, and data analytics.

At Illinois Tech, master the theoretical concepts of AI and gain experience applying them through course and research projects analyzing financial data, medical images, social media, and more.

At the forefront of technology and just minutes from downtown Chicago, Illinois Tech is ideally positioned to launch you into an exciting career in artificial intelligence. Join us!

Please note that some programs designated as online require in-person coursework such as lab, classroom participation, or a thesis. As such, all courses will be offered fully online for the fall 2020 semester, however, some courses in subsequent semesters may require in-person attendance.

Master the theoretical concepts and practical applications of artificial intelligence, machine learning, and data analytics. In Illinois Techs Master of Artificial Intelligence program, learn how you can make a positive impact with the knowledge of AI.

Artificial intelligence is being implemented in almost all fields of industry into everyday operations. Whether it is analyzing risk management in corporate finances, finding tumors in medical images, building an autonomous vehicle to explore other worlds, or designing a horrible supervillain for the next hot video game, AI is being used to solve problems in all corners of society.

A full-time student whose bachelors degree is in computer science can complete the MAS-AI program in three semesters plus a summer course. A student without a bachelor's degree in computer science may require extra time inprerequisite undergraduate coursework.

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Applicants must have a bachelor's degree, although not necessarily in computer science or related field of study, with an overall GPA of 3.0/4.0.

GRE scores of a minimum of 305 are required.

For those without a bachelor's degree in computer science, prerequisite undergraduate coursework with gradesof Bor better in Accelerated Computer Science or Object-Oriented Programming I and II, and Introduction into Advanced Studies I and II, is required.

TOEFL/PTE/IELTS scores may be required for some applicants.

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Overview of Artificial Intelligence

Today, a few applications of artificial intelligence seem to bring us closer to the future. The most convincing pieces of evidence are self-driving cars, Google Translate, and Sophia (humanoid robots). Moreover, have you ever wondered how Cyborg technology (a technique for creating artificial body parts for people with disabilities that enables them to function normally) works? If yes, this Artificial Intelligence tutorial will give you an introduction to AI right from the basics.

In this Artificial Intelligence tutorial, we shall be coveringMachine Learning, Deep Learning, neural networks, real-life applications of Artificial Intelligence, Python and various packages available in it, TensorFlow, Keras, multilayer perceptron, convolution neural networks, recurrent neural networks, long short-term memory, OpenCV, and much more.

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Creativity and ideas never end as they are limitless. Likewise, there are a lot more things to create, improve, implement, and invent in the field of Artificial Intelligence. Evidently, AI is far from reaching its saturation level of creating new things.

In short, here are the goals of Artificial Intelligence:

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Artificial Intelligence is the intelligence that machines demonstrate. It allows us to create machines that can perform multiple tasks and solve real problems without error. As a matter of fact, AI can improve efficiency and productivity by automating repetitive tasks. Additionally, it can create an immersive, responsive experience and understand human emotions.

This Artificial Intelligence tutorial will teach you all the techniques that you will have to implement in real life.

Artificial intelligence machines have the ability to make decisions and when exposed to large amounts of real-world data, they try to learn and improve themselves. To illustrate this, here are some practical applications of artificial intelligence:

Now, in this Artificial Intelligence tutorial, we will head on to the subsets of Artificial Intelligence.

Artificial Intelligence is an umbrella term. There are two subsets of Artificial Intelligence: Machine Learning and Deep Learning.

Machine learning is a branch of artificial intelligence in which a program or machine uses a set of algorithms to find patterns in the dataset(s). Above all, we dont have to write individual instruction for every action. As machine learning models capture more and more data, they become smarter and self-improving.

Further, Machine Learning can be sub-categorized into three subsets:

Now, moving ahead with this Artificial Intelligence tutorial, we will look at some applications of Machine Learning.

Since Artificial Intelligence and Machine Learning make our lives better, it is very satisfying to learn these. This Artificial Intelligence tutorial will teach you everything you need to know about the basics of Artificial Intelligence.

Further development of machine learning has led to a different sub-category, i.e., Deep Learning. Deep Learning makes use of artificialneural networks that consist of layers of networks working on different parameters to give the desired output.

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Artificial Intelligence is about incorporating the human abilities to a machine by designing algorithms such that these algorithms involve self-learning and provide the machine with the ability to think like the way humans do, by which the machine would be able to solve problems without explicit human inputs.However, a lot of creativity and computation is required to make it a successful creation.

Artificial Intelligence is gaining immense popularity because it has a lot of things to explore and create around the world. The applications of Artificial Intelligence that we come across in our day-to-day life are just a small demonstration of AIs wonder-struck start.

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This Artificial Intelligence tutorial has been prepared to help you learn Artificial Intelligence the right way, and it is meant for the beginners and for the professionals to help them understand basic-to-advanced concepts related to AI. This Artificial Intelligence tutorial will help you master AI with which you will be able to take yourself to a higher level of expertise for implementing Artificial Intelligence concepts in real life.

Before going through this Artificial Intelligence tutorial, you should have a fundamental knowledge of the field of Information Technology, along with being familiar with computers, the Internet, and basic working knowledge on data. Such basics will help you understand the AI concepts better and will move you faster on the learning path.

This AI tutorial, further it its pages, covers the introduction to AI, the history, goals, and the applications of AI, AI vs ML vs DL, various data science packages, artificial neural networks, back-propagation algorithm, multilayer perceptron, the problems of overfitting and underfitting, convolution neural networks, recurrent neural networks, long short-term memory, various Machine Learning concepts, and OpenCV.

If you have any technical doubts or queries related to AI, post the same on IntellipaatsAICommunity!

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