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Like it or not, artificial intelligence already plays a considerable role in your life. Maybe Facebook’s algorithm pointed you toward this article. Maybe you just switched off a Netflix movie that magically popped up in your recommendations. Maybe you’re hiding under your bed hoping that hyper-intelligent machines won’t find you. OK, that last one is an exaggeration, but maybe not by as much as you’d think. In fact, a recent Pew research survey found that more than 70 percent of people are worried about a future in “in which machines do many jobs currently done by humans.” If you’re one of those people, last week’s Google-dominated, AI-heavy tech news cycle definitely didn’t help.

Luckily, this column is still solely the product of human effort (except for autocorrect, which I still need to fix words like “occasion” that I’m seemingly incapable of learning). Here’s a rundown of last week’s biggest technology stories.

Download the latest episode the Last Week in Tech podcast!

Sony MiniDisc Player

Gadgets do not age gracefully most of the time. This is not an exception.

This week’s episode covers the highs and lows of Google’s big developers conference, as well as the latest news about net neutrality and a story about taking a bath while wearing jeans. You can listen in the player above, subscribe on SoundCloud, iTunes, or Stitcher.

Boston Dynamics robots went for a jog

Google’s AI announcements were almost entirely software-based, but the roboticists at Boston Dynamics showed off some impressive video of its Atlas robot. This time, the creation is out for a jog, which is really impressive, but after an indulgent Mother’s Day brunch, it also feels a little passive aggressive to watch that robot happily running.

The company also announced that it plans to sell its dog-like SpotMini robots starting in 2023 to companies who want to use them as security, or maybe for aspiring filmmakers who want to rip off that one episode of Black Mirror.

Elon Musk showed off a big tunnel

The boyfriend of musician Grimes has been bragging about his subterranean tunnel below LA and now it’s nearing completion. Musk says rides will be free during the testing phase of the Boring Company’s first underground tube when it starts operation later this year.

Everyone checked their Klout score one last time before the service dies

My final Klout score

Klout was like earning merit badges for using the internet only you can’t sew them onto a sash and your parents were never proud of them.

For as long as social media has existed, people have wanted to “win” at it by getting more followers and exerting more influence over the rest of the internet. Klout was a service designed to track how much influence you had across various channels and on a variety of topics and it will officially shut down on May 25th, presumably to avoid compliance with the GDPR requirements. When I signed up, Dane Cook had a really high score, if that’s any indication of where this service falls in the grand timeline of internet foolishness. My final Klout score is 62.

All new houses in California will have to come with solar panels Microsoft showed off some of its new tech at its annual Build conference

Google’s developers conference dominated the news cycle last week, but Microsoft showed off some new tech of its own at its Build conference. Check out our round-up of the important developments including a totally adorable new friendship between Amazon’s Alexa and Microsoft’s disembodied digital assistant, Cortana.

Uber shared a little more about its flying taxis

Uber Flying Taxi

“Yes, hi, please fly me to Target so I can buy some beef jerky. Thanks.”

The Uber Elevate conference happened last week and it gave us another look at Uber’s upcoming flying taxi, which it hopes to have in the skies by 2023. The electric vehicle will fly at an altitude between 1,000 and 2,000 feet, but there’s no word if the service will let you repel down on a rope to your destination like a super spy. (It probably won’t.)

There’s an important Net Neutrality vote coming up

You may have noticed some of your favorite websites nagging you to take action in the fight for Net Neutrality. That’s because Senate democrats have forced a vote on the issue that’s coming up before June 12, although it could happen this week. Get a top-level view of the issue here.

Marshall revamped its headphones

Marshall Major III headphones

You don’t need hip hand tattoos to wear these headphones.

Guitar amps are Marshall’s primary concern, but the company has had a lot of success making headphones as well. The updated version of the popular Major over-the-ear headphones comes in both wired and Bluetooth and has larger 40mm drivers to increase audio output. The wired version is just $79, while the Bluetooth model is $150, which makes them relatively affordable for this level of performance. Plus, they look very cool.

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Last Week In Tech: Everything You Missed While Nerding Out On Comic

Godot, a tunnel-boring machine

This adorable thing could be digging a tunnel from NYC to DC in the near (or far) future.

Another edition of San Diego Comic-Con has come and gone, which means the last week has been saturated with all kinds of wonderfully nerdy stuff to obsess over. (Did you see the new Stranger Things trailer? Oh, man.) But, as always, the tech world kept rolling along, so wipe off that cosplay makeup and get caught up on last week’s biggest stories with our handy recap.

This week’s Musk-read

Just received verbal govt approval for The Boring Company to build an underground NY-Phil-Balt-DC Hyperloop. NY-DC in 29 mins.

— Elon Musk (@elonmusk) July 20, 2023

Our favorite tech super hero (and maybe eventually super villain) Elon Musk was the big news in the tech world yet again this week. He off-handedly tweeted about having “verbal government approval” for an East Coast hyperloop that would make the trip from NYC to DC in less than half an hour. We did a little digging to find out what kind of approval actually goes into a product of that scale. Spoiler alert: It’s going to take some superhuman paperwork skills to navigate all of the bureaucracy.

Google space view

If you haven’t gained the super power of space flight just yet, Google is giving you a chance to putter around inside the International Space Station using Street View technology. It’s a fascinating way to waste 30 minutes of work time.

Land speeder, two seater

One of the cooler actual tech products to come out of the Comic Con fray was this small-scale Star Wars land speeder from Radio Flyer. It will be available on September 5 as a Toys R Us exclusive for 500 credits. It’s actually $500, but you can make a joke about it costing 500 credits to the cashier at the store and then tweet about how hilarious it was even though the cashier had no idea what you were talking about.

Alexa continues her conquest

Have you noticed how quickly Alexa has been spreading in recent months? Amazon has been quietly adding its virtual assistant to more and more devices, this week extending to Kenmore smart home appliances and the Amazon shopping app on Android devices. Stark Enterprise—er, Amazon sure does believe in that plucky virtual assistant.

Not hotdog

This is the hard way to determine that a cupcake is not a hot dog. MIT CSAIL

Pic2Recipe is a product of MIT’s renowned Computer Science and Artificial Intelligence Laboratory (CSAIL) and uses AI to try and translate pictures of food into the actual recipes required to create it. The trials “mostly failed,” but it allowed everyone in the tech media to make lots of Silicon Valley jokes, so it wasn’t a total loss.

Need a (self-driving) Lyft?

Left is still playing catch-up to Uber, but this week the company announced its plans for a major self-driving car division that will be a more open platform that can integrate tech from other major auto manufacturers. I ran out of super hero puns. Sorry.

Snaps

Spectacles were once rare and hard to get. Now, you can order them from Amazon without having to put on pants. Amazon

At one time, if you wanted a pair of Snap Inc.’s Snapchat-specific Spectacles, you had to find out the location of a special vending machine, then wait—sometimes for hours—in line to purchase a limited pair. Now, you can impulse purchase them in all three colors from Amazon. They’re $130 with free shipping and will give you the super power of sending video of everything that happens in your life to your friends on the internet.

Final cut

Did you know that YouTube had built-in video editing tools? Apparently many people didn’t because they will be going away on September 20 due to low usage. So, you’re going to need to pick up some video editing software if you want to keep making those UFO “proof videos.”

Pokemon Stop

Players were excited about the addition of new Pokemon to Pokemon Go, but less excited about how difficult they were to catch due to technical issues. Pokemon Go

Last week was the one-year anniversary of Pokemon Go and the celebration included a massive get together in Chicago called Pokemon Go Fest. The event was plagued with connectivity and other technical issues bad enough that the organizers felt compelled to issue refunds and other incentives to those in attendance. If you remember the initial troubled launch of Pokemon Go, this seems like a very fitting tribute.

Snap the news

NBC is the first network to launch a twice-daily news show for Snapchat‘s social media platform. The jump to content like this is a logical step for Snapchat, but it may be a long time before users make the transition from watching friends eat donuts to serious news. I wonder what the Daily Planet‘s Snapchat strategy is….

D&D goes digital

D&D Beyond helps manage game rules and provide other digital resources for campaigning against monsters. Wizard of the Coast

Finally, Wizards of the Coast and developer Curse have brought a new set of digital tools to Dungeons & Dragons, including sourcebooks and compendiums. The company says it’s just the first step in bringing digital elements to the traditional role-playing experience. Of course, players have been doing this on their own for years, but the official version looks pretty robust.

Impact Of Artificial Intelligence In Cybersecurity

Even though security solutions are becoming modern and robust, cyber threats are ever-evolving and always on the peak. The main reason for this is because the conventional methods to detect the malware are falling apart. Cybercriminals are regularly coming up with smarter ways to bypass the security programs and infect the network and systems with different

Applications of Artificial Intelligence in Cybersecurity Vulnerability Management

Currently, the security solutions wait for the vulnerabilities in the IT infrastructures and then take action on them, depending on its nature. The approach becomes different from AI and ML-enabled tools. The AI-based systems are proactive in detecting the vulnerabilities. They can analyze the pattern and discover the loose ends that can be the potential vulnerability. By recognizing the attackers’ pattern, infiltrating methods can be discovered, and it becomes easy to distinguish when and how any vulnerability would make its way to the network or system.  

Improving the Authentication

Most organizations and individuals are still dependent on the traditional method of entering the login id and password for authentication purposes. Let us face it, there are very few people who are serious about creating a unique and strong password. Over that, most people use the same passwords for all or most of their accounts. Such practices can lead organizations or individuals to serious security risks. However, with modern biometric authentication methods such as face recognition and iris recognition, login authentication has become highly secure and comfortable. The use of AI in biometrics has ensured that cybercriminals cannot hack them.  

Behavioral Analysis

The abnormalities could be anything like the unusual use of the internet, change in the typing speed, increment in the background activities, and more.   Controlling Phishing Phishing is one of the Threat Hunting As already mentioned, the traditional security programs use signature indicators to detect threats. This technique is only effective with the already encountered attacks and becomes useless when reporting the threats that have never appeared. Using the AI, the new threats can be recognized quickly. However, with it, the false-positive cases would also increase. To eliminate the number of false-positives, both the traditional detecting method and the AI behavioral analysis detection must be combinedly used.    

Drawbacks of Using Artificial Intelligence in Cyber Security

Here are the top hindrances, 1. Resources: With the immense power it possesses, building and maintaining the AI system is a costly affair. Artificial Intelligence requires a lot of computing power, raw memory, data, and more. It becomes challenging for the lower and middle range companies to fulfill the needs of the resource starving AI system. 2. Unethical Use: AI is not just limited to white hat researchers and security solution providers. Even hackers and other cybercriminals can use it for many unethical purposes. Using the AI, the cybercriminals can train their malware to become AI resistant. The AI-based malware can be hazardous and can evolve itself by learning the detection patterns of the security solutions. It can then penetrate even the AI-based system and destroy it. 3. Data Sets: To train an AI-based system, organizations need to create a large number of data sets. It is through data sets; the AI system evolves itself and creates patterns for the behavior analysis. More the data, the more effective the AI engine. To train a threat detecting AI engine, the security teams need to research many data sets thoroughly. They have to collect the data sets of malicious threats, non-malicious threats, and more. Accumulating such a large number of data sets can be tedious, time-consuming, and resource-consuming that many firms cannot afford. 4. False Detections: Developers are still in the process of improving the AI-based security programs. AI programs need a lot of time to evolve and learn about the threats and how to take action on them. An underdeveloped AI system can be relatively ineffective and frequently raise false-positive results. 5. Unemployment: It is a non-technical drawback of the AI. With the introduction of AI, the need for human involvement is minimal. It can lead to the job cut for thousands of IT workers and thereby increasing the unemployment problem.    

Final Words

Use Of Artificial Intelligence In 2023

This means that 2023 will be an important year for the next decade of innovations in the AI ​​space to set the tone and continue the current momentum. But what does this mean for organizations selling and buying AI solutions? In which areas should they invest?

Forrester’s various surveys say,

53% of international analytics and data decision makers say they’ve executed, are in the process of executing, or are updating or updating their execution of some kind of artificial intelligence.

29% of whole IT developers (manager level or higher) have worked on Artificial Intelligence/machine learning (ML) software in the past year.

Also read: Top 5 Automation Tools to Streamline Workflows for Busy IT Teams

In 2023, Forrester predicts that

25 % of the Fortune 500 will include AI construction blocks (e.g. text analytics and machine learning) for their Robotic Process Automation (RPA) attempts to make countless new Intelligent procedure automation (IPA) usage cases. “RPA wants intelligence and AI wants automation to climb,” says Forrester.

As a quarter of Fortune 500 enterprises redirects Artificial Intelligence investments to more mundane shorter-term or strategic IPA jobs with”crystal-clear performance gains,” roughly half of their AI platform suppliers, international systems integrators, and managed service providers will highlight IPA in their own portfolios.

Building on the proven success of those IPA use instances, IDC forecasts that by 2023, 75 percent of businesses will automate intelligent automation to technology and procedure development, utilizing AI-based applications to detect functional and experiential insights to direct innovation.

And from 2024, AI is going to be integral to each area of the company, leading to 25 percent of the total spend on AI options as”Outcomes-as-a-service” that induce innovation in scale and superior business value.

AI will become the newest UI by redefining user encounters where more than 50 percent of consumer handles will likely be bolstered with computer vision, language, natural language and AR/VR. During the upcoming several decades, we’ll see AI as well as the emerging consumer interfaces of computer vision, natural language processing, and gesture, embedded in every form of merchandise and device.

Emerging technologies are high-tech technology. Back in 2023, warns Forrester, 3 high profile PR disasters will”rattle reputations,” because the prospective regions for AI malfunction and injury will multiply: The spread of deep fakes, erroneous usage of facial recognition, and over-personalization. From 2023, forecasts IDC, 15 percent of consumer experience software will be always hyper personalized by blending an assortment of information and newer reinforcement learning algorithms.

Accentuating the positive, Forrester is nonetheless confident that”those imbroglios will not impede AI adoption strategies following year. Rather, they will underline the significance of testing, designing, and deploying accountable AI systems — with solid AI governance which believes prejudice, equity, transparency, explainability, and responsibility.”

IDC forecasts that by 2023, maybe as a consequence of a couple of high-profile PR disasters, over 70 percent of G2000 companies have formal applications to track their’electronic trustworthiness’ as electronic hope becomes a critical corporate asset.

Leadership issues, says Forrester, and employers using main data officers (CDOs) are about 1.5 times more likely to utilize AI, ML, or profound learning because of their insights initiatives compared to people with no CDOs.

In 2023, senior executives such as main analytics and data officials (CDAOs) and CIOs that are seriously interested in AI will see that data science groups have what they want with regard to information. The actual difficulty, says Forrester, is”sourcing information from an intricate portfolio of software and persuasive various data gatekeepers to say .”

AI adoption isn’t consistent across all businesses and we’re seeing a brand new digital divide, a split between the AI haves along with the AI have-nots, people without or with the essential highly-skilled engineers.

In 2023, says Forrester the “tech elite” will creep up AI and design abilities while others will”fumble.” Pairing human-centered design abilities and AI development capabilities will be crucial. In terms of the remainder of the workforce, by 2024, 75 percent of businesses will invest in worker retraining and growth, such as third party providers, to tackle new skill requirements and means of functioning resulting in AI adoption, predicts IDC.

What makes”the workforce” will continue to enlarge and IDC forecasts that the IT company will manage and support a growing workforce of AI-enabled RPA robots as smart automation scales throughout the enterprise. The following addition to this workforce is a military of chatbots, helping with many different jobs from the enterprise.

However, Forrester forecasts that four in every five conversational AI interactions will continue to fail to pass the Turing Test. From the end of 2023, predicts Forrester, conversational AI will nevertheless electricity fewer than one in five effective customer support interactions.

AI is here, there, and everywhere, and IDC estimates that by 2025, at least 90 percent of new venture program releases include embedded AI functionality. But adds IDC, really disruptive AI-led software will represent only about 10 percent of the total.

So we must wait for another 5 years to observe that the”really tumultuous” possibility of AI finally understood and just in a couple of circumstances? Another Forrester forecasts report really warns that in 2023, “the exuberance in AI will crescendo as expectations return to earth.” While Forrester predicts another new summit in AI financing in 2023, it claims that it is going to be the previous one–“with over 2,600 businesses worldwide, the AI startup ecosystem is a market.”

The most critical sign of the coming downturn, according to Forrester, is that the simple fact that 20 AI businesses have increased unicorn-sized funding rounds before 12 months. “This can’t be sustainable,” says Forrester. That reminds me of Charles Mackay’s Extraordinary Popular Delusions and the Madness of Crowds: “The bubble was subsequently full-blown and started to quiver and shake preparatory to its exploding.”

Last Year In Tech: 2023 Edition

Magic Leap Goggles

We have seen some things. Oh my, have we seen some things.

Year-end wrap-ups are the best. We get to sit here in our new holiday pajamas and dish out harsh judgments on everything that happened during the past spin ‘round the sun. Interestingly, though, the end of 2023 doesn’t look all that different from the beginning. Smart home stuff is still popular, social media emotions still fluctuate wildly between “ooh, fun!” and “ooh, scary!” and nobody cares about fidget spinners.

So, before we roll into 2023, let’s take a look back at all the stuff that happened in the tech world since the last time they dropped the ball in Time Square.

Best of What’s New

If you want a look at the best new tech from this year, you should check out our 2023 Best of What’s New selections. It’s a collection of important and influential new products and technologies that came into the world in the last 12 months or so. It’s a great way to see promising new tech, free from all the negative stuff that also happened.

Fidget Spinners came and went

Google Trends: Fidget Spinners

Here, you can see the Google Trends graphs for “fidget spinner” (blue), as it compares to “Samsung Galaxy S8” (yellow), and “chicken fingers” (red), which apparently didn’t have a great year.

The Google Trends report—a graph showing how many people were searching for any given topic at any given time—for fidget spinners is fascinating. At the beginning of the year, these plastic toys registered a zero, but by the first week in April, the score was pinned to 100. It was a meteoric rise for a truly useless product. Now, the score sits around 3. The age of the fidget spinner ended as quickly as it began, leaving the toys relegated to their bargain bin coffins.

Net Neutrality died

The FCC voted to repeal 2024 regulations that classified the internet as a utility, meaning it should be equally accessible for all people. We won’t know for some time how this will actually affect the Web as we know it, but it opens up the door for internet service providers to start making crucial decisions about who gets access to what content and services. Get your wallets ready.

Augmented reality got more interesting (and less depressing than actual reality)

Ikea Place iPhone App

Digital chairs were all the rage in 2023.

We spent a lot of time this year fussing around with virtual furniture in our real-world spaces thanks to Apple’s augmented reality ARKit. Microsoft also bet big on AR by integrating its Mixed Reality tech into just about every device running Windows 10l. We even got to see the wonderfully ridiculous Magic Leap AR glasses for the first time after literally years of hype. Expect a lot of digital creatures—and probably also more couches—in your future.

WannaCry HQ trivia happened

The top app charts are still dominated by social media, smart assistants, and addicting games, but a live game show app made one of the biggest, loudest splashes. The app started earlier this year, but now gets hundreds of thousands of viewers during each one of its live shows, which happen twice each weekday and once a day on weekends. The show has had some hiccups, including its unnecessarily toxic live chat, but it’s carrying a lot of momentum into 2023. We’ll see if it fares better than QuizUp, another trivia app that raised tens of millions of dollars four years ago, only to lose most of its users and sell for a bargain-basement price.

AIM died

AOL Instant Messenger played a very important role in the formative years of many internet users, myself included. It was everywhere from college dorms to workplaces, and its away message function was the prototype for the eventual rise of social media—in which we have to type everything we think and feel into a text box that our friends can see and react to. Now, AIM is officially dead. I tried logging into my account before it was shut down, but I couldn’t remember the password. RIP, AIM. My 17-year-old self will truly miss you.

Bitcoin got expensive. Then it got cheaper. Now it’s kind of expensive again.

At the beginning of the year, a single Bitcoin was worth roughly $1,000. By the end of 2023, one Bitcoin is worth approximately $15,000. Of course, it might be zero tomorrow, or it could be $100,000 and all those who got in early will be driving around in yachts with the word “blockchain” written on the back. There’s no telling, really.

Tesla birthed a bunch of new vehicles

AMD came roaring back

With the release of its Ryzen processor products, AMD rose up to take on Intel’s position of CPU dominance in the PC world. Even if you’re not a total computer game geek, the competition is good if you plan on buying a new computer any time soon.

PUBG PC

PUBG screenshot

This is a good place to pull your parachute if you want to float around for ten minutes and then die right when you land.

The biggest PC gaming hit of the year was Player Unknown’s Battleground, a multi-player free-for-all shooter that drops 40 players on an island where only one player can emerge victorious. The learning curve is relatively steep and the potential for mayhem is high, but the game crossed 30 million active players on PC alone before it got a port over to the Xbox One earlier this December. If you’re a player, you may have seen me crawling around in the fields, hoping to go unnoticed until I die anticlimactically.

Switch saved Nintendo

Both Sony and Xbox unleashed powerful new consoles this year, but it was Nintendo that dominated the living-room. With its portable playability and an arsenal of really excellent first-party games—including the best game of the year, The Legend of Zelda: Breath of the Wild—the Switch was the most fun gadget to happen this year.

HDR became really important Homes got smarter

Google Home Max speaker

The Google Home Max is the most powerful smart home assistant speaker around, at least for now.

We won’t know exactly how many smart home devices sold in 2023 until this year is in our rearview mirror, but Amazon says it sold “tens of millions” of Echos during the holiday season alone. Google doesn’t share its sales numbers, but with the Google Home Mini matching the Echo Dot’s $30 price point at most major retailers, it’s a fair assumption that they sold a bunch of them. The notable exception in the smart home boom is Apple, which missed its 2023 shipping window for the upcoming HomePod speaker, now slated for early 2023.

iPhone X

While Apple had trouble on the HomePod front, it also released the most-notable smartphone of the year. The iPhone X made waves with its FaceID unlocking tech as well as its $1,000 price tag. Real talk: Phones aren’t that much different at the end of 2023 than they were at its beginning.

Twitter grew up, literally Equifax leaked your info

Remember when one of the world’s biggest credit agencies gave up a bunch of crucial personal info on people who had never even actively engaged with the company as customers? That sure was fun.

Drones were kinda boring

DJI Spark

This tiny drone from DJI can understand hand gestures, which is cool, even if it’s not all that practical.

DJI unleashed its adorable Spark drone in 2023, but not a lot has changed in the space when it comes to hardware. We did get some confusing drone legislation though. In May, the government repealed the requirement for drone pilots to register their crafts when used recreationally. Then, in December the regulation came back. Not confusing at all.

The year in cameras

As a photographer and camera writer, this segment of the market remains close to my heart and, despite the continued dominance of smartphone shooting, cameras actually made a small sales comeback in 2023. Compact camera sales are still off the proverbial cliff, but both mirrorless cameras and DSL

OK, that’s it for 2023. Alexa, set an alarm for 2023.

Use Cases Of Artificial Intelligence In E

Introduction

Personalized learning is an approach to education that uses AI algorithms to analyze students’ learning styles and tailor instruction to their individual needs. This can include customized lesson plans, study materials, and activities tailored to the student’s strengths and weaknesses, interests, and learning preferences. With personalized learning, students can work at their own pace, with instruction tailored to their unique needs. In this article, we will showcase 4 amazing use cases of AI in e-learning that make education more engaging, effective, and accessible. The following are the use cases of artificial intelligence in e-learning that we will be discussing in detail:

Recommendation systems

Intelligent tutoring systems

Personalized learning

Adaptive Learning Platforms.

So, if you want to discover how AI is shaping the future of education, this article is a must-read for you!

Learning Objectives:

Understand the benefits and potential of artificial intelligence in e-learning, including personalized instruction and immediate feedback.

Learn about using automated assessment and grading with AI and its ability to provide detailed analytics for instructors.

Explore the use of recommendation systems in e-learning and the ability of the systems to adapt and improve over time based on student behavior and preferences.

Examine the use of intelligent tutoring systems with AI and their ability to provide personalized instruction and real-time feedback.

This article was published as a part of the Data Science Blogathon.

Table of Contents Impact of AI in eLearning: Revolutionizing Learning

Artificial Intelligence (AI) is rapidly changing how we learn and interact with technology. It is increasingly used in e-learning platforms to create more personalized learning experiences for students. AI technologies like Machine Learning, Natural Language Processing, and Computer Vision are being utilized to improve the e-learning experience. Some examples of AI applications in e-learning include:

Intelligent tutoring systems that adapt to the student’s learning style and pace

Automated speech recognition and text-to-speech systems for accessibility

Adaptive learning algorithms that adjust course content based on student performance

Predictive analytics to identify at-risk students and provide targeted support

Chatbots and virtual assistants to provide 24/7 support to students

AI (artificial intelligence) is used in many mobile apps to enhance user experience and improve performance. Some examples of how AI is being used in apps include:

Personalization: AI-powered apps can learn a user’s preferences and behaviour, and then personalize the user experience accordingly. This can include recommending products, music, or movies based on the user’s previous selections.

Image and speech recognition: AI-powered apps can use image and speech recognition to understand and respond to user input, making it easier for users to interact with the app.

Predictive analytics: AI-powered apps can analyze data and make predictions about user behavior, which can be used to improve the app’s performance and make it more engaging for users.

Machine learning: AI-powered apps can use machine learning algorithms to learn from data and improve their performance over time.

Natural Language Processing (NLP): AI-powered apps can understand and respond to natural language input, allowing users to interact with the app more conversationally and intuitively.

AI is important in mobile apps because it can improve user engagement and satisfaction and increase the app’s efficiency and performance. It is being incorporated into mobile apps because of the increasing availability and accessibility of AI technologies and the growing demand for personalization and improved user experiences.

Traditional learning is based on explicit rules, while AI-powered apps use machine learning algorithms that can learn from data and improve their performance over time. This makes AI-powered apps more flexible and adaptable and can handle more complex and dynamic tasks. Additionally, AI-powered apps can make predictions and decisions based on large amounts of data, which is challenging with traditional learning methods.

Automated Assessment and Grading

Another aspect of artificial intelligence in e-learning is Automated assessment and grading, a rapidly growing field that has the potential to revolutionize the way we evaluate student performance. AI can grade student assignments automatically, such as essays or multiple-choice questions. This helps reduce the time educators need to grade papers manually and allows them to focus on giving feedback instead. AI can also provide detailed analytics, allowing instructors to identify areas where students may need additional help or guidance.

One of the most significant benefits of automated assessment and grading with AI is the ability to provide students with immediate feedback. This can be especially valuable for students struggling with a particular concept, as it allows them to identify and address their weaknesses quickly. Additionally, AI-based systems can be programmed to provide explanations for the correct answers, further helping students to understand the material.

Recommendation Systems

Recommendation systems use AI algorithms to analyze a student’s behavior and preferences, then recommend courses or content that may be most relevant or interesting to them based on their needs. These systems allow learners to discover content tailored specifically for them, making it easier for them to find what they’re looking for quickly and efficiently.

Facebook is an excellent example of embracing Recommendation Systems and artificial intelligence in e-learning. Facebook understands the importance of providing its employees with training programs that cater to their unique needs and thus, adopted a Recommendation System. The system helped Facebook provide its employees with customized training programs that were both effective and engaging, which, in turn, improved the company’s overall performance.

Recommendation systems with AI also can learn and adapt over time. As more data is collected and analyzed, the system can continuously improve its recommendations by considering new information and user behavior. The recommendations will become increasingly accurate over time, leading to an even better user experience.

Intelligent Tutoring Systems

Intelligent tutoring systems (ITS) use artificial intelligence techniques such as natural language processing (NLP) and machine learning (ML) algorithms to simulate human tutors by interacting with learners directly through conversations or other media such as virtual reality (VR). ITS can provide real-time feedback, which helps students stay engaged and motivated while learning complex topics at their own pace.

One of the main benefits of ITS with AI is the ability to provide personalized instruction. These systems can analyze students’ performance, identify their strengths and weaknesses, and adjust the instruction accordingly. This can lead to a more efficient learning experience as the student is only exposed to the material they need to learn. ITS can also provide feedback and guidance, helping students understand the material better.

One company that adopted Intelligent Tutoring Systems is Microsoft, a leading technology company. ITS with AI also can learn and adapt over time. As more data is collected and analyzed, the system can continuously improve its instruction by considering new information and student performance. Microsoft recognized that the instruction would become increasingly effective over time, leading to an even better learning experience.

Personalized Learning

Personalized learning is an approach to education that uses AI algorithms to analyze students’ learning styles and tailor instruction to their individual needs. This can include customized lesson plans, study materials, and activities tailored to the student’s strengths and weaknesses, interests, and learning preferences. With personalized learning, students can work at their own pace, with instruction tailored to their unique needs.

This can lead to a more efficient and effective learning experience, as students can focus on the areas where they need the most support and are more likely to stay engaged and motivated. Additionally, AI algorithms can monitor students’ progress and adjust personalized instruction accordingly.

Amazon is the biggest company that has embraced Personalized Learning. Amazon finds personalized learning a powerful tool to help students achieve their full potential, reach their goals, and take artificial intelligence in e-learning to the next level.

Adaptive Learning Platforms

Adaptive Learning Platforms are a cutting-edge form of educational technology that utilizes AI to deliver tailored and effective learning experiences for students. This enables the platform to optimize the learning experience by providing the most relevant material for each student. As a result, students can focus on the specific areas where they need improvement, leading to a more efficient and effective learning process. With the help of Adaptive Learning Platforms, the traditional one-size-fits-all approach to education is becoming a thing of the past, giving way to a new era of personalized and AI-powered learning.

A great example of a company that has embraced Adaptive Learning Platforms is Deloitte, a global professional services firm Deloitte uses adaptive learning platforms through its internal training and development programs. For example, if an employee is struggling with a particular concept, the adaptive learning platform might provide additional resources or alternative explanations to help them understand the topic better. Conversely, if an employee is excelling in a particular area, the platform might provide more challenging material to help them continue to grow and develop.

These platforms are designed to offer effective personalized instruction that fits each Deloitte learner’s unique needs, abilities, interests, skillset, etc., allowing them to progress at their own pace while ensuring they properly understand the material before moving on to new concepts.

Custom LMS development enables the integration of these AI-based adaptive learning platforms into existing e-learning systems to offer personalized instruction to learners. However, it’s important to note that Adaptive Learning Platforms with AI are not without their limitations. One potential problem is that these systems can be expensive to develop and maintain. Additionally, it’s important to ensure that the data used to train these systems is accurate and unbiased to avoid any ethical issues.

Conclusion

In conclusion, the impact of Artificial Intelligence in e-Learning and mobile apps is significant and far-reaching. AI is being used to create more personalized learning experiences by utilizing technologies like Machine Learning, Natural Language Processing, and Computer Vision. Automated assessment and grading with AI is another rapidly growing area, as it provides immediate feedback to students and saves educators time in grading. Recommendation systems, utilizing AI algorithms, provide learners with personalized recommendations, becoming increasingly accurate over time. The benefits of AI in e-learning and mobile apps include improved user engagement and satisfaction, increased efficiency and performance, and the ability to make predictions and decisions based on large amounts of data.

Key Takeaways:

AI is being used to create more personalized learning experiences and improve the e-learning experience.

Automated assessment and grading with AI saves time for educators and provides immediate feedback to students.

AI recommendation systems provide learners with personalized recommendations that become increasingly accurate over time.

The benefits of artificial intelligence in e-learning and mobile apps include improved user engagement, increased efficiency and performance, and the ability to make predictions and decisions based on large amounts of data.

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