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IntroductionInternet… a world-changing invention that is involved in most of the things we do. When we talk about education in the modern-day, we cannot put aside the digital world. Online students can find
What Is AI?AI systems are such machines (or, perhaps, software) that can perform human-like tasks. By that, we mean that the algorithms behind them allow them to do tasks that are usually associated with people. AI systems rely on their algorithms for executing their functions. Via them, they examine the available information and reach conclusions. Once they reach such a conclusion, they then act. It can be perception, interaction, behavior reasoning, finding patterns, etc.
Through AI systems machines can perform high-level functions massively and rapidly. Sometimes they even resemble humans in their actions. Sure, this brings about not only excitement but also fear. There is a view among some circles that AI can replace humans. But it’s also possible that AI will work together with people, helping them in their day-to-day life. When we talk about education, we want to point out that human interaction is key. Still, AI can offer some help for teachers by automating various routine tasks.
AI and EducationTeaching is a highly sensitive area. Student-teacher interaction is close contact. Teachers need to build a trusting relationship with their pupils. Also, some types of feedback require human interaction. Thus, we cannot talk about AI replacing teachers. We don’t consider such a possibility for some tasks that require face-to-face contact. But some repetitive tasks can be automated using AI systems. This will allow teachers to put more emphasis on complex activities. AI can offer many possibilities for education. For instance, it can support teachers and collaborate with them. Of course, collaboration isn’t said in the traditional human-to-human meaning. No, AI can rather help teachers gain more knowledge of the strong and weak sides of their students. Yes, through the use of AI one can create specific assessments. They can then be used to allow teachers to understand how far along the material are their students. With such programs teachers can see which students excel where and where are the weak points. Also, teachers have a lot of students to work with. They cannot pay attention to anyone all the time. So, in some cases, they will be working with specific students. Via AI, though, they can understand what is happening to other students at that time. AI presents another opportunity, too. It can offer a way for students and teachers to collaborate better. It can also enhance the “work-together” skills of students.
When we are talking about complex problems and means of solving them,
ConclusionSure, there are still areas that will require human-to-human interaction. That’s for certain. But the introduction of AI into the classroom can help free teachers’ time for more important aspects. It can also improve the interaction in the classroom. AI systems are certainly something that will grow even more with time elapsed. We should think about how they can affect the future of education. They can do that in various ways. We mentioned some of the above, but we are certain that new and new inventions will arise. With all of them, we can get a better understanding of the learning process, how students interact with one another, of how teachers can tailor their study plans.
Internet… a world-changing invention that is involved in most of the things we do. When we talk about education in the modern-day, we cannot put aside the digital world. Online students can find legit writing services or, if they can’t decide on an essay service , they can get reviews and see which are the best. Or they can get some help with different questions they might have. Teachers, on the other hand, also have quite a lot of resources to pick from. There are opportunities to learn more about classroom management, student motivation, interaction, etc. When we talk about the digital world, though, we should pay some attention to artificial intelligence. This is a particular area of study that will grow more and more with the days to come. Artificial Intelligence, or the so-called AI, is gaining more and more steam as we continue to innovate it. We encounter it in quite a lot of places in our day-to-day life, for instance, in applications as Alexa. We also already know that with the current pandemic we experienced a growth in digital education. So, how do we see AI in the future of education in general?AI systems are such machines (or, perhaps, software) that can perform human-like tasks. By that, we mean that the algorithms behind them allow them to do tasks that are usually associated with people. AI systems rely on their algorithms for executing their functions. Via them, they examine the available information and reach conclusions. Once they reach such a conclusion, they then act. It can be perception, interaction, behavior reasoning, finding patterns, etc.Through AI systems machines can perform high-level functions massively and rapidly. Sometimes they even resemble humans in their actions. Sure, this brings about not only excitement but also fear. There is a view among some circles that AI can replace humans. But it’s also possible that AI will work together with people, helping them in their day-to-day life. When we talk about education, we want to point out that human interaction is key. Still, AI can offer some help for teachers by automating various routine tasks.Teaching is a highly sensitive area. Student-teacher interaction is close contact. Teachers need to build a trusting relationship with their pupils. Also, some types of feedback require human interaction. Thus, we cannot talk about AI replacing teachers. We don’t consider such a possibility for some tasks that require face-to-face contact. But some repetitive tasks can be automated using AI systems. This will allow teachers to put more emphasis on complex activities. AI can offer many possibilities for education. For instance, it can support teachers and collaborate with them. Of course, collaboration isn’t said in the traditional human-to-human meaning. No, AI can rather help teachers gain more knowledge of the strong and weak sides of their students. Yes, through the use of AI one can create specific assessments. They can then be used to allow teachers to understand how far along the material are their students. With such programs teachers can see which students excel where and where are the weak points. Also, teachers have a lot of students to work with. They cannot pay attention to anyone all the time. So, in some cases, they will be working with specific students. Via AI, though, they can understand what is happening to other students at that time. AI presents another opportunity, too. It can offer a way for students and teachers to collaborate better. It can also enhance the “work-together” skills of chúng tôi we are talking about complex problems and means of solving them, AI can help here, as well. It can boost the problem-solving skills of students and teachers alike both individually and as a group. With AI’s students can experience personalized learning. When a teacher is working with a class, personalized learning isn’t an easy thing to achieve. But it can be done through AI systems. Those systems will allow customization of the learning process for the particular student. Emotional well-being is something that is thought about, too. The emotional states of children impact how they learn. AI can help identify what is the emotional state of the students and give them support. Such support can be offered through gestures, words, or attempts at motivating the student. Artificial Intelligence can be used in various applications. Some of them we are already familiar with. But there are also other opportunities. For instance, AI can be used in learning apps. By them, students can experience gameplay that is related to learning specific materials and/or skills. Like, they can be learning math while playing a certain AI-powered game. Or they can ask for help with homework and questions that bother them and receive automatic answers from other students. Such applications can be used to tailor personalized learning plans for every student.Sure, there are still areas that will require human-to-human interaction. That’s for certain. But the introduction of AI into the classroom can help free teachers’ time for more important aspects. It can also improve the interaction in the classroom. AI systems are certainly something that will grow even more with time elapsed. We should think about how they can affect the future of education. They can do that in various ways. We mentioned some of the above, but we are certain that new and new inventions will arise. With all of them, we can get a better understanding of the learning process, how students interact with one another, of how teachers can tailor their study chúng tôi huge plus is the opportunity for a personalized learning process. Teachers cannot be with everyone all the time. Their teaching methodology cannot be tailored to every single student on their own, or they will have no time for everyone. Here comes AI. That system offers to give us a way to suit the learning plans specifically to every student. This will allow kids to learn at their own pace, strengthen their weak sides, and get even better in their strong aspects. AI cannot replace teachers but can certainly teach us something.
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What Does Update Requested Mean In Ios And How To Fix It
Apple’s latest and possibly greatest version of iOS — iOS 14 — has hit the shelves and iPhone users all over the world are determined to get their hands on it. Some fortunate ones have been able to ascend to the latest version without any issues, while others have been seeing the dreaded “Update requested” error while trying to install the latest iOS release.
Today, we’ll tackle the problem, head-on, and hopefully give you a solution that gets rid of the problem for good.
Related: How to schedule widgets in iOS 14?
This error we’re concerning ourselves with today is one of the weird ones out there. There are a million reasons why this could happen, which makes it difficult to pinpoint the exact issue. Thankfully, finding a solution for the issue isn’t that difficult. Check out some of the possible fixes listed below.
Related: 80 aesthetic app icons for iOS 14
Restart your device
The most common solution to this super annoying bug — a nice and quick restart. If you’re using an iPhone with Face ID, press the Volume Up and Volume Down keys in quick succession before holding down the Side key. When the power off menu pops up, slide to turn your phone off. Press and hold the Side key to restart.
If you’re using an older unit, you simply need to press and hold the Side key to get to the power menu. Slide to turn the device off and then press and hold the Side key to turn it on again.
Check your WiFi connection
More often than not, an inept WiFi connection turns out to be the culprit behind botched updates. So, make sure your WiFi is at its best before going for the kill.
Related: How to color apps in iOS 14?
Try a hard reset
A hard reset is a little more serious than a regular reset and often does a better job at knocking the senses back to your devices. To perform a hard reset on iPhone 7 or 8, you’ll need to press and hold the Volume Down and Side key until the Apple logo flashes on your screen.
For iPhone X or newer, press Volume Up and Down in quick succession before holding down the Side key. Keep holding until the Apple logo flashes and the device restarts.
A Device Firmware Update (DFU) is the mother of all cleanup drives, as it deletes all the code on your Apple iPhone and asks the server to update it with the latest software. Please make sure to backup your phone before proceeding.
You’ll need to connect your phone to PC for DFU to work. So, before following the step below, connect your phone to your computer using a USB cable.
To put your iPhone in DFU mode — iPhone 8 and newer — first, press the Volume Down and Volume Up successively before holding down the Side key. Once the screen goes black, press and hold the Volume Down key and Side key simultaneously. After about five seconds, release the Side key but continue to hold the Volume Down key until the device shows up in iTunes or Finder on Mac. Release the Volume Down button and the latest software would be installed.
Related: How to fix PIP not working in iOS 14
Let the servers have a breather
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Artificial Intelligence: Governance And Ethics
In a report that asks critical questions for our future, The Rockefeller Foundation’s AI+1: Shaping Our Integrated Future explores the nature of artificial intelligence, stressing the need for a regulatory framework to shape and monitor AI. The august power of AI must not be left to market forces, the report recommends, but must be a force that helps all of humankind.
To discuss the report’s themes, this webinar we discussed the following themes:
1. The report states: “As we reimagine a way forward, The Rockefeller Foundation is betting that AI will help rebalance and reset the future in a way that addresses current inequities. To realize that outcome, we must develop a regulatory framework to ensure its responsible use.”
“We need to reimagine an entire new rule-making system that guides AI towards society’s goals instead of our current de facto rule-making system that guides AI towards the market’s goals.”
But given how well-financed the market players are, is this really possible? Can the forces of regulation truly overwhelm market forces?
3. What are some efforts to start to build this regulatory framework? What players might take the lead?
4. Are there actions that certain key professionals can take? Say, data scientists, managers or AI developers?
5. What is your forecast for the years ahead, as we grapple with the increasing power of AI and the need to regulate it? How do you foresee this struggle evolving?
Gillian Hadfield, Director, Schwartz Reisman Institute for Technology and Society
Top Quotes:
Kahn: Artificial intelligence has been an interest of the Foundation for actually a while, and we were actually the funders of the 1956 conference at Dartmouth that coined the term “artificial intelligence.” And the whole premise was around, at that time, they wanted to do research into how can we actually replicate the human brain. It was a little bit more of an academic, mathematical approach. And artificial intelligence has its ebbs and flows, but now we’ve seen an explosion in its use, and it’s really gone beyond an interesting technology to something that is just permuting all aspects, and we’re seeing this in the COVID response right now, how artificial intelligence is both being used to accelerate drug discovery and vaccine development, but also highlighting some of the privacy issues as we think about contact tracing and how we can use it in that context.
Kahn: So for us at the Rockefeller Foundation, our mission’s been for 100 years, how do we promote the well-being of humanity throughout the world. And right now as we’re thinking about this COVID and the pandemic situation, thinking about the near-term responses, but also, how do we set the course for a recovery so it’s a more equitable recovery. And we just feel guiding the development of AI now is really important to setting the stage for where we’re gonna go in the future.
Maguire: Let me briefly read this [from the Rockefeller AI report], because I think this sums up the question as I see it, really, it puts it in a true nutshell. It’s, “As we reimagine a way forward, The Rockefeller Foundation is betting that AI will help rebalance and reset the future in a way that addresses current inequities. To realize that outcome, we must develop a regulatory framework to ensure its responsible use. We need to reimagine an entire new rule-making system that guides AI towards society’s goals instead of our current de facto rule-making system that guides AI towards the market’s goals.” And I think that is really the issue, but I think it’s a very difficult issue because there’s very large companies that have enormous budgets, and they are pouring vast budgets into the development of artificial intelligence, applications, platforms, widgets, etcetera. The idea that some regulatory body, perhaps a governmental body, could actually really play referee against such powerful forces seems a little questionable, and I’m doubtful of that.
Hadfield: First of all, really important to recognize, there’s no such thing as an unregulated market. Markets are constituted by laws. We think about regulation just more generally. Markets are constituted by that. So the power that our large tech companies have today is in part constituted by the way the state protects contract rights, intellectual property rights, employment relationships, and so on. And the tools in our toolkit are some of those basic rules and those basic things that are constituting the power of markets.
But the other reason I’m optimistic about the capacity for now regulation that comes in, to say, okay, you could do this with AI, but you can’t do that with AI. You can use facial recognition on a phone, but you can’t use it to check up on your competitors, or you can’t have police departments using it in discriminatory ways. That kind of regulation, it’s definitely challenging to develop that regulation today, but we faced that challenge at the last major revolution in the economy, the early 20th century. That’s when we invented the regulatory state to harness and rein in the power of huge corporations at the time. Anti-trust law comes out at that point. I’m pretty optimistic that we can develop those new regulatory tools. I think they’re gonna look different than what we have now, but I certainly think we can do it.
Kahn:
I find the use of the words optimistic and pessimistic kind of interesting, because I feel like there’s been over time a negative connotation associated with regulation, particularly when it comes to innovation. That regulation is kind a bad, it slows things down. And to build on Gillian’s point, I sometimes use this expression of, the reason we have brakes on cars is not to go slow but so that we can go fast. And when we think of lots of markets, look at the health market. It’s fairly heavily regulated. But you can’t even imagine a system by which you could develop drugs or provide healthcare to people when you’re thinking about their safety without a lot of that regulation. That’s not necessarily a bad thing, it’s kind of striking the right balance.
Top Quotes:
Hadfield: Well, automation definitely changes the way who’s doing what jobs. And again, we’ve been through significant rounds of automation. I’m getting into my historian mode here, but in the 19th century, 70% to 90% of the population is working in agriculture and, of course, that changes over time. I’m not sure that we wanna hold up necessarily also the types of lives that people live in sort of mass manufacturing environments and factories as the ideal of people’s lives. So as an economist I’d say, look, first of all, yes, we should expect to see continuing automation and as we know, automation kinda ups that value chain. My colleagues in law certainly are gonna see some of their work displaced by artificial intelligence as well as a factory worker.
But I think because that creates more value, what we should be seeing is then a change in the mix of what kinds of work people do, how people spend their time. Wouldn’t it be nice to actually have a world where we were producing more or the same amount or more output, but people have more time to spend with their families, more time for leisure activities, more time for the types of creative work that we see unleashed by the kinds of access we now have to social platforms. We can write. We can post videos. We can do artwork. We’ll definitely see a different world. I think the question is, how do we share the surplus and the benefits of these technologies in a way that is equitable and supportive of the flourishing of human lives?
Kahn: I think that the downside if AI isn’t properly regulated, particularly in a context where we’re undergoing a big transformation, will be like what we saw when manufacturing and technology entered manufacturing. Or if we think of dislocations from using coal to using clean energy. These are big transitions that happen in society. And unless we think about what outcomes do we want, and we don’t sort of combine market and government to help guide those transitions so we maintain good social outcomes, then that’ll be a big risk. To indulge your negative, but in… And there’s good reason to be negative, there’s good reason to be concerned. One big concern of mine if we don’t regulate AI is that the current inequities that we have in society will get frozen in, because AI will just replicate all the biases that we have and make them kind of permanent versus just cultural and social. So that’s a big problem. We’re already seeing the growing inequality that’s happening right now and I think AI could just exacerbate that.
“And then to your point, we could see massive job losses and replacements that happen with AI. And if we don’t do that thoughtfully, then all of a sudden you’re gonna have entire groups and large groups of people who find themselves very limited with opportunities. So we’re seeing all these anecdotal issues when it comes to education, you’ve heard about the story about people who are assigning grades and that didn’t work out. And justice when they were trying to use AI to sort of determine whether people are guilty or not. That’s not really working out. Health is a big concern area. So there’s plenty of downsides, for sure, but I wouldn’t wanna throw the baby out with the bath water in ignoring the upsides. And we have a fundamental belief that AI can be a force for removing inequities and guiding a more equitable recovery as we come out of 2023.
Top Quotes:
Hadfield: Thinking about it in the AI setting, is something I call regulatory market. So this is a… Can we create a layer of competitive regulators, private regulators, companies that are investing in regulatory methods and technology, but regulate those regulators by having government set the outcomes that they have to achieve. So if we did this in the context of self-driving cars, it’s a very simplistic version of regulation, but you have a politically determined what’s the acceptable accident rate on the highway. Okay, so now I may be a private regulator that says, “Well, you know what, I’ve got a set of rules I think I could implement, and the companies that would have to buy my… They have to buy regulatory services, I would create a regulatory machine.” Zia might say, “You know what, I’ve got a way to do some technology for that. I’ve got a machine learning safe model that will regulate the vehicles.
“And Zia and I both have to demonstrate to government we achieve the target outcome, but now we’re competing to maybe provide you if you’re the manufacturer of the self-driving vehicles, you’re choosing between the methods we are proposing for achieving those outcomes. We both have to achieve the same outcome, but we are investing in figuring out better, more effective, more adaptive, rapid ways of achieving that. So that’s the… I think there’s a way for us to use those tools to get to this more adaptive, agile form of governance.
Kahn: Well, I actually am a big fan of Gillian’s model here, and I think there’s a slight analogy, it’s a little different, but when you think about insurance, which was the government sets the standard, and everyone needs to have insurance, and then you can shop around in an insurance market, there’s some kind of loose analogy to that. So ultimately, government will have to set the rules for what are the social outcomes that we want, that is a political process, and right now we have private sector companies that are in essence setting those rules, and whereas they were comfortable with that rule-setting before, they’re growing increasingly uncomfortable, and we see something like Microsoft, which is now not selling facial recognition technology to police departments because they wanna force the government to come in and set the rules and the norms because it’s out of the scope of what they want to or are able to or should be focusing on.
Kahn: We believe that there’ll be a raised consciousness in the same way that you have doctors have a raised consciousness about what actions they have have impact on people and society. Same with the legal profession. I think there’ll be a professionalization of data science that raises the social consciousness, and that will be a force that we can harness. We’re already seeing it in a lot of the large companies, large tech companies who are responding to their employee concerns as much as others. So in terms of what specifically someone can do, I think there’s a lot of resources out there to just understand what are the frameworks of how to think about ethical development and to engage with their management, to engage with their companies around, how do they think about the unintended consequences of their work, how do they think about choices that they can make and just create some of that internal pressure within companies. Companies themselves had business reasons to be interested in this, civil society has reasons, government has reasons. And that’s something that we’re excited about is we’re seeing lots of people who are aligning to this notion of we need some form of governance. We just don’t know exactly what it is.
Top Quotes:
Hadfield: Well, so I think two possible paths. One is that we don’t address this problem, and what we see are just the exacerbation of the inequalities and power and so on that we’re seeing now. And we see the blunt force instrument of “We’re just gonna ban this stuff because we don’t trust it and we don’t like it.” So I think that’s one not very happy future, and that’s what I think happens if we don’t solve this problem.
Again, I’m back to the optimist, and I’m also, if you’re selling ideas, so I’m gonna be optimistic. I’m gonna believe I can sell these ideas because I am absolutely confident there are paths forward where we get to smart regulation that harnesses the power of AI and allows it to become part of our regulatory environment so we can continue to shape our future as humans. I think there’s some reason to think that we are on that path. In the last year, we’ve started to see the shift from the call for fairly abstract guidelines and ethical principles, all of which is very good, to a recognition we need to start building the concrete regulatory mechanism.
That’s what Zia and Rockefeller and Schwartz Reisman and also with the Center for Advanced Study in the Behavioral Sciences at Stanford, we’re starting on an initiative to say look, okay, let’s start thinking about how we actually build those regulatory. Don’t just call for governments to write new laws. Don’t just call for engineers to be more ethical. It’s a solid regulatory challenge. There are ways forward on that. So I’m gonna be optimistic and say that’s the path we’re on.
Kahn: So I believe what you’ll start to see are some countries or states who actually figure out how are we gonna make sure that AI is a good infrastructure that helps us serve our society on health and education, and also creates interesting market opportunities, and just in the same way that the states figured out how electricity could help in that way, and how the internet and broadband helped in that way. And so I think there’ll be these positive examples out there that will start to become more and more common and that people will seek to replicate more and more.
Kahn: We’re seeing some examples of that. This isn’t exactly the same, but when it comes to digital ID, the countries and the states that are able to create a real digital ID system are seeing so many benefits from that, that more and more people then look to them. So I think five years from now we’ll be hopefully past the state of just those initial little examples, and there’ll be more and more a common and systematic approach of how do we, whether it’s some of Gillian’s ideas like unlock these markets for regulations, but it’ll be more and more common. I think it’ll be more and more of an expectation.
4G: What Does This Really Mean?
4G: What does this really mean?
Texas resident, Keith Geissler, contacted the Better Business Bureau when he found that his ATRIX 4G was only pushing around 300kbps up the tube instead of the expected 5.5mbps.
The ATRIX is a HSUPA-capable device, and we currently are performing the testing and preparations necessary to ensure that, when we turn this feature on, you will continue to have a world class experience.
AT&T hasn’t quite gotten their act together as quick as they had hoped with this one. Sometimes the real answer is that these systems are technically the bleeding edge, and it’s not some conspiracy to keep you from achieving your top speeds on the wireless internet. Here’s a little help discerning the technical specs from behind the marketing malarkey surrounding the wireless broadband available on the market.3G, 4G, LTE, HSPA, WiMax
I could go into a Wikipedia-esque discussion of all of the various mobile data standards since the dawn of mobile data standards, but I’d rather not. I’m going to focus on disambiguation of a few of these key terms and let you know what you really need to know. If you haven’t heard of LTE, HSPA, or WiMax before, don’t be alarmed. They’re just protocols to govern wireless and mobile data transmission. They set standards so that your device can talk to any similarly equipped cellular tower
It makes it easier that these technologies are already cleanly divided along service provider lines. LTE has been deployed in the US by Verizon and MetroPCS. WiMax is the realm of Clearwire and Sprint. AT&TMo are known to use HSPA to provide their broadband. Of course these lines are shifting with the shakeups going on in the market, but that’s how things are currently arrayed.
HSUPA
What is HSUPA? Does it make sense that it was turned off? Should we clamor for AT&T’s summary execution? HSUPA is a part of the HSPA (High Speed Packet Access) wireless telecommunications protocol. It’s the part that lets you upload quickly. The HSUPA (The U stands for Uplink) works along side HSDPA (Downlink) to provide the whole protocol, HSPA. Get it? Really, the fact that this portion of the system was delayed is not really a surprise to anyone who has ever imagined the amount of real infrastructure that goes into producing the end-user-experience we expect. Honestly, whenever a telcom rolls out an upgrade project of this magnitude, it’s hilarious if anyone doesn’t expect delays in something. HSUPA was where the slack had to be this time, no big deal. Hey, AT&T, just let us know what the deal is before we have to go to the Better Business Bureau.
What’s up with all of these G’s? How many G’s do I need again?
The G designation on all of these various technologies is a generational marker by the International Telecommunications Union (ITU). Most smartphone users are more than happy with their current 3G connection. It allows for mobile e-mail browsing, web-surfing, and some amount of streaming video. I’ve enjoyed Netflix on my iPhone with no hiccups. With all that the 3G is able to deliver, it’s still all about the 4G. Or if you’re not into the whole brevity thing, the 4th Generation of Mobile Telephony Standards. None of the technologies available on the market can currently hang with the ITU’s 4G requirements. The ITU set “peak speed requirements for 4G service at 100 Megabits per second for high mobility communication (such as from trains and cars) and 1 Gbps for low mobility communication (such as pedestrians and stationary users).”
LTE vs WiMax vs HSPA
WiMax and LTE are standards that come from different organizational origins. WiMax comes from the side of the IEEE, known for bringing you the collection of standards we dub Wi-Fi. This standard Wi-Fi connection is governed by a set of protocols collectively known as 802.11. WiMax is governed by a set of protocols collectively known as 802.16. LTE is a product of the Third Generation Partnership Project (3GPP), spawned from the international GSM standard. “Work on LTE has been going on since 2004, building on the GSM/UMTS family of standards that dates from 1990”
My friend, Robert Evans, recently sang of the death of WiMax. The standard has had a good run of it since they’ve had NTT DoCoMo of Japan coming after it since 2004. What? You don’t remember when NTT DoCoMo called for LTE or Long Term Evolution, to become the international standard for wireless communication? Neither did I. Even with six years in the making, the long term goals of LTE have not yet been made manifest, as the standard is still considered to be a third generation communication technology as it’s currently deployed. Full fourth generation wireless transmissions will be coming out this year with specifications like the LTE Advanced.
We will continue to see increased transmission speeds and decreased latency via wireless over the next few years, regardless of the protocol in which the packets are scribed.
Read more about what’s going on with your wireless at Android Community.
[via Gadget Lab]
Tips And Resources For Introducing Students To Artificial Intelligence
Middle and high school teachers looking to expand their computer science (CS) offerings should also consider teaching about the emerging technologies impacting multiple industries to create awareness for learners about lucrative career opportunities involving artificial intelligence (AI) skills. AI refers to systems or machines that, like humans, use intelligence to perform tasks and, through repetition, can improve themselves based on collected data.
The U.S. Bureau of Labor Statistics predicts CS and information technology employment to continue growing between 2023 and 2031, adding nearly 683,000 new jobs. AI-related careers can be promising for our youth to pursue and consider—here’s why:
The World Economic Forum lists AI and machine-learning specialists second on the list of jobs with increasing demand.
AI jobs are plenty, but there are not enough qualified applicants to fill them.
AI professionals can typically earn well over six figures.
AI jobs and careers are flexible and can include full-time or part-time consultants, researchers, and entrepreneurs.
If teaching about AI and how it impacts other fields feels like a big undertaking, no worries! Even those licensed to teach CS (like me) must expand their skill sets regularly.
Like the higher-order thinking skill sets you already teach in your classes, CS skills are earned with time, practice, and repetition. The only requirement is to make up our minds to begin by implementing a mix of research and hands-on experiences that introduce kids to how AI works in other related technologies, such as machine learning (ML), gaming and electronic sports (esports), and blockchain technology.
For example, teachers may use esports as an engagement vehicle to teach students how AI impacts gaming. Esports is a form of competitive video gaming with a vast ecosystem, including game publishers, streaming platforms, products, leagues, and competitive events.
In addition to helping them understand AI through adaptive-gaming experiences, exposure to learning through esports may inspire students to pursue opportunities in higher education and expand their knowledge base to monetize their passion. My son became so skilled at gaming that he eventually became a Twitch affiliate—which became his first job and allowed him to earn income from his room while still in high school.
Think of how many students could be set on a path to employable skills and passion-aligned learning if they were jump-started at school.
Here’s how we can expand our teaching about AI-related content.
Explore AI and How It Works
AI personalizes recommendations to online users based on their previous searches, purchases, or other behavior patterns. To improve kids’ understanding of how AI is used to solve problems across various fields, teachers can have kids complete an activity on Innovations in AI Research—created by chúng tôi Topics may include computer vision–based assistive technology, health care, the environment, robots, art, and employment.
Introduction to AI Lab provides five hands-on activities for learners to explore using the lab to train machine-learning models to recognize shapes and recommend different food items to a restaurant. Here are five more AI activities you can incorporate into AI learning, designed by Create and Learn, an organization providing K–12 CS online courses.
Additionally, esports is an excellent way for students to learn about how AI-powered coaching apps can assist gamers by suggesting better strategies to players for improving their skills. Gaming skills can be utilized for employment, preparing for competitive events, sponsorship deals, and going to college now that esports is officially a sanctioned high school and collegiate sport.
With about 90 percent of surveyed teens playing video games, teachers wanting to begin an esports program can explore the steps in this guide by the International Society for Technology in Education.
Machine Learning
Machine learning (ML) is a subset of AI that enables computers to learn without humans programming them. It leverages AI power inside apps like language translators, social media algorithms, and streaming services to suggest shows you may like. ML also can improve our lives in different ways—such as predicting and recommending the best routes to Uber drivers and helping health care and life science organizations use their health data more effectively.
To help kids get comfortable learning about the various types of ML and then create their own ML app, here are three powerful, adaptable lessons by Code.org:
Teachers interested in even more free, online resources will be pleased by this learning module with lessons dedicated to AI and ML as well as these additional ML project ideas, which use Scratch, a simple programming language and a website designed for young coders.
Blockchain Technology
Blockchain is being touted in some spaces as the future of the internet (Web3) and can be paired with AI to store and distribute AI models to improve data security and reliable audit trails. Blockchain is a new and emerging technology with growing demand for software engineers who know how to leverage the power of blockchain to validate and record digital transactions through the exchange of cryptocurrencies like bitcoin. Digital currencies serve as a medium of exchange.
Since blockchain is new, consensus on how to teach it is still developing. AACSB International, a global association connecting schools with businesses to develop skilled leaders, recommends teaching learners how blockchain works and when and when not to apply it. They recommend having kids explore the guiding question, “Do we even need blockchain technology in this context?” during case studies and projects.
Jumpstarting a blockchain project will take some preplanning and practice. Here are 10 blockchain project ideas for beginners by upGrad, an online education platform.
For teachers new at trying their hand at AI-related content, I recommend front-loading the major concepts outlined in this article and trying out the linked lessons yourself before doing so with students. That will help you determine and anticipate where they may get stuck during class work.
Special acknowledgment to some of the organizations and educators who work hard to bring important CS and edtech skills to schools everywhere: chúng tôi the CSTA, Brian Aspinall, Yaritza Villalba, Michelle Moore, Regina Schaffer, Tara Linney, Victoria Thompson, Shaina Glass, Coach Victor Hicks, Leon Tynes, Jaime Donally, The Tech Rabbi Michael Cohen, Rachelle Dené Poth, Melody McAllister, Sumreen Asim, David Lockett, Stacey Roshan, Dr. Sarah Thomas, and countless others.
Instagram Nfts Are Here… What Does That Mean For Artists?
It’s official: Instagram (IG) is diving head-first into the NFT ecosystem. With the recent launch of new in-app NFT features, a select number of influential creators were greenlighted to start interacting with blockchain tech on the larger-than-life social media platform.
Although Meta originally announced plans to create an Instagram NFT marketplace back in March, these latest features lean more towards content sharing rather than commerce. And why shouldn’t they? Considering that Twitter and Discord have proven to be the stomping grounds of the NFT community, some would say that IG taking the plunge into the NFT space is overdue.
Additionally, while Meta is undoubtedly still hard at work on Instagram’s impending NFT trading functionality, the NFT marketplace/Web3 social media race has continued to grow, with the anticipated Coinbase NFT Beta now live and blazing a trail through the NFT ecosystem.
But IG is, at its core, a social media platform geared toward visual art. It is vastly different than any other NFT platform or marketplace in existence. So what do IG NFTs mean for artists? Let’s take a look.
What are Instagram’s NFT features anyways?As previously mentioned, Instagram’s new features have not been made available to everyone. With this latest update, 16 artists, NFT creators, and collectors have been empowered to post NFTs that they either created or own on IG by linking third-party digital wallets (like Rainbow or MetaMask) in-app. There are currently no fees associated with posting or sharing a digital collectible on IG.
NFTs displayed on the app are differentiated from regular posts by way of a special “shimmer” visual treatment. Aside from looking different, NFT posts are also given a “digital collectible” badge that lists metadata including who the creator and/or owner of the NFT is, what platform it was created on, a brief description of the NFT, and an identifier linking it to the blockchain it was minted on.
An example of digital collectibles displayed on Instagram. Credit: Meta
While it seems Meta’s social media NFT endeavors have launched via Instagram, the company is also gearing up to roll out digital collectibles on Facebook, with more digital collectibles features also on the horizon for IG. Similarly, at this time only the Ethereum and Polygon blockchains are supported, with integrations for other top NFT blockchains like Flow and Solana coming soon.
How will artists use these new features?So far, artists are using IG’s NFT features as indented by posting NFTs that they created or own on IG by linking third-party digital wallets. Again, these features currently have no NFT trading elements built-in, but are rather meant to be a way for creators to share NFTs with their IG audiences.
This doesn’t mean that IG NFTs are a simple one-and-done process, and creators, especially those like IG-native aerial/street photographer Natalie Amrossi (@misshattan), are already finding unique uses for them.
“I decided to not just be the creator that posts NFTs that I’ve created, but also support other artists in the space,” Amrossi said in an interview with nft now. “And that’s the most beautiful thing about being able to connect your wallet and being able to share your NFTs. It’s not just the pieces that you create, but it’s also the ones that you collect.”
Now a prominent name in the NFT space, Amrossi has been creating and uploading her art to Instagram for years. With the recent launch of IG’s NFT features, she says she can clearly see the value of Instagram joining the NFT space in support of artists.
“Web2 gave me the tools that I needed to become an artist and make a living,” says Amrossi. “Before the term ‘influencer’ was even a thing, all I was doing was creating my art. And with Instagram’s help, I was able to reach so many different people and different brands, and that gave me a livelihood.”
Even artists like Sophia Wilson (@phiawilson) who haven’t yet amassed millions upon millions of views on their pieces are incentivized to share NFTs on IG. Wilson, a relatively new name in the NFT space, seems to have already gone above and beyond the scope of these new IG features. By pivoting to release her new NFT series “Losing My Mind” by way of IG NFT posts, she has circumvented the lack of IG NFT commerce by using her network to market her multi-piece collection.
“‘Losing My Mind’ is a photo series I’ve been working on for a while now. I was planning on releasing it as NFTs even before IG reached out to get involved, so it was kind of a match made in heaven,” Wilson tells nft now.
Wilson says the series is, among other things, about Black feminine figures and increasing representation in the media for those similar to herself. A respectable endeavor to be sure, as we’ve continued to see a huge lack of representation for POC artists in the NFT space thus far.
“Over the past year, I’ve been dealing with some mental health issues that caused my emotions to be so extreme that it was hard to function in everyday life for a while, so that’s really what inspired this photo series. I will be releasing a new photo with Meta from my series for sale every Wednesday and Friday for the next three weeks.”
In addition to providing her with a new platform through which she can share her own minted artworks, Wilson says she hopes that these new IG features might help further build a bridge between the NFT community and the many other subsections of the internet, many of which live and thrive on Instagram.
“NFTs can often seem daunting as an outsider, but having the ability to see NFTs so clearly on your day-to-day IG feed as you’re scrolling makes it a lot less foreign of a concept,” says Wilson. “I definitely think IG has tons of potential to become a hub of discovery for NFT enthusiasts, and this will make NFTs more accessible to artists and collectors alike.”
What does it all mean for the NFT space?If one thing has become clear surrounding Instagram’s new features, it’s that Meta’s NFT and metaverse endeavors will continue to impact the NFT ecosystem at large. Many hope that it will be for the better, as IG NFT scams have themselves become another major problem plaguing the NFT ecosystem.
Although IG’s new NFT features at present seem comparable to Twitter’s PFP NFT verifications, we could very well see Instagram’s tools helping to cut down on scams as users are now able to verify the creation and ownership details of entire NFT collections featured in IG posts.
Considering the massive volume of visual artists and NFT creators that use the platform, it’s possible IG could, as Wilson said, become yet another hub of discovery for NFT enthusiasts. But if this becomes the case, it calls into question just who might be most successful on Instagram. Will we see up-and-coming artists incentivized to share their NFTs? Or will those with an already established and robust fanbase dominate this new ecosystem?
To influential multidisciplinary artist Elise Swopes (@swopes), it’s the smaller artists who truly need to be the beneficiaries of these new features. Swopes has remained one of the most prominent visual artists on Instagram for years, earning accolades as one of the first accounts added to Instagram’s original suggested user list in 2012.
Swopes says that she would love to see IG become a hub of discovery, and acknowledges the importance of artists in the NFT space as well as the necessity of taking care of the creators that keep the NFT ecosystem going.
“I’d love to see [IG become a hub of discovery] not just for the Beeples and, you know, everybody who already makes a lot of money: like the Apes and PFPs. That’s great for them, but I think [IG NFT features] are more for utilizing this new type of technology to support artists at their start,” Swopes said in an interview with nft now.
“Especially music artists. I mean, this is all across the board. We’re talking dancers, poets, painters, sculptors, and musicians. It’s not just like digital artists and the element that I’m creating, it can be anything at this point. So I’m excited to see how people get creative.”
The sentiment of IG’s new features having the potential to uplift smaller artists seems to be shared across the board by Swopes, Wilson, and Amrossi. And while it remains to be seen just how these new features might truly impact the NFT ecosystem once unlocked for the rest of the growing IG NFT community, we will undoubtedly see more social media NFT integrations cropping up in the months and years to come.
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