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techcouncilglobal · 4 years ago

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How AI and Machine Learning are assisting students in improving their learning curve

A teacher no longer has to deal with a classroom full of kids who are all utilising the same textbook. The Internet and machine learning are becoming increasingly important in education. Technology, comprising knowledge, tools, and online materials, is at the heart of today's learning experience. Machine learning and artificial intelligence are well-integrated into the educational system, which is unsurprising.

In primary school, class sizes are growing, and teachers are constantly challenged. There are a number of challenges in offering attention and assistance to large groups of kids. A difficult process like this can be made more accessible by combining computer programmes with machine learning approaches. Each learner can study at his or her own pace and on his or her own learning curve thanks to this combination. We'll look at how machine learning and artificial intelligence can assist students improve their learning curves in this article.From this students take artificial intelligence and machine learning certification from learning AI and ML.

How Ml and AI developers are supporting students in speeding up their learning curve

Artificial intelligence (AI) and machine learning technologies have made education more appealing in recent years. Students and schools can now get customised software solutions. These solutions are mostly driven by augmented and virtual reality.

In identifying and determining a student's learning curve, technology plays a critical role. Especially now that online programmes have established themselves as a major part of the educational system.

Students now have the ability to create their own learning paths. Through these paths, they will be able to determine their strengths and weaknesses.

Let's take a look at how artificial intelligence and machine learning can help with education

1. Assisting lecturers with administrative tasks

Mentors and educators have extra responsibilities-These responsibilities take almost as much effort and concentration as teaching. They, too, are responsible for administrative and organisational tasks. These obligations may consume a significant portion of their time.

Teachers are responsible for a wide range of responsibilities.- Organizing instructional materials, assessing tasks, and grading tests are just a few. There's also documentation to deal with and communicating with parents.

Fortunately, machine learning and artificial intelligence certification may make their jobs easier. Assist them with several of the responsibilities listed above. Take grading, for example. When dealing with a high number of tests, computerised grading is a lifesaver for teachers.

AI and machine learning can handle logistics, maintain documents up to date, and provide feedback to students.

2. Educational software can be customised to meet the specific demands of each learner.

One of the most significant ways that AI and machine learning will improve academia is through customised learning. Everything from preschool through graduate school will be affected by this. Likewise, some of these things are currently taking place. The increased availability of relevant learning programmes, games, and software are only a few examples.

These systems adjust to the kids' need. The main purpose is to concentrate more on specific difficulties. Repeating items that students haven't learned and mentoring children at their own pace are two more requests.

Adaptive learning also appears to have had a significant impact on the educational system in the country. As AI progresses in the coming decades, adaptive systems like these will definitely improve and proliferate.

3. Access to an unrestricted education

There are several faults in the traditional educational system. AI and machine learning, on the other hand, can help remove barriers to education and make it more accessible to all.

Due to a number of causes, some kids are unable to attend school or have missed school days. Aside from that, high-quality degree programmes are becoming increasingly popular among students of all ages.

Regardless of where they live on the earth, people can fulfil their educational goals. Because of artificial intelligence, all of this is possible. Thanks to AI technologies, those who desire to further their education may be able to forget about time limits. They have complete autonomy over when and where they learn. They can personalise the educational process to their specific requirements and situations.

4. Textbooks that are custom-made for each student

The way we use textbooks is always evolving as a result of artificial intelligence. Old-school books that are heavy and full of irrelevant material will quickly become obsolete. Technological breakthroughs have enabled the creation of personalised study aids that may be tailored to the needs of pupils.

Educators will no longer have to sift through manuals for knowledge, nor will they have to repackage it so that pupils can grasp and absorb it.

In academic settings, e-books generated by AI and machine learning algorithms will become increasingly widespread. They place a greater emphasis on cognitive content, allowing students to grasp concepts more quickly.

5. Students and instructors can benefit from AI-driven solutions that provide useful feedback.

Professors and students can build lessons that are tailored to their specific requirements using AI and machine learning. It can also provide information about the software's overall performance. AI and machine learning technologies are being used by some colleges, notably those that provide online courses. This technology is used in online classes to keep track of students' progress and to alert teachers to any problems.

These colleges' AI programmes, on the other hand, aren't only for course recommendations. Some educators are working on solutions that will allow students to select classes based on their abilities and weaknesses. Furthermore, new generations are not obligated to follow the counsel. And it's feasible that this may usher in a new era of important university alternatives.

AI systems like these can provide students with the assistance they require. Instructors can also help students discover areas where the learning process might be enhanced, especially if they are having trouble with a particular topic.

Conclusion

While artificial intelligence training certification with Ml and education may appear to be far off in the future, they have already made their way into our daily life and educational institutions. We can make the lives of both students and lecturers easier with artificial learning.

#artificial intelligence certification #artificial intelligence training #ai developer

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tensiletestmachinesme · 4 years ago

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Know all about Materials Testing

In the Materials Testing Machine all techniques are fully computerised.

Management system with full characteristics and capability including data-base analysis and networking. All types of testing, such as tensile testing, can be controlled based upon Displacement, Load, Stress or Strain.Testing fixtures of all required types are available. Use friendly multi-channel signal conditioners have also long been one of our standard products.

We can make a modern Universal Testing Machine from your old load frame. Tensile, compression, flexural, peel, shear, stress Whatever test machine you require, we can help.Testing machines are an integral part of quality assurance.We want to provide you with the latest quality testing machine system to protect your products hold up to the stress they will be needed to undergo.

Importance- It is essential to assess how we will utilize the apparatus. Still most of the Materials Testing assists test different materials more easily, it is important to choose an equipment that is ideal to the area of speciality.

ondition & quality- It is main to consider the quality and condition of the apparatus before choosing. It should function properly and safely. Furthermore, make sure to test its effectiveness. It is also major to check the quality of the lab equipment. purchasing a branded Materials Testing machine which is tested by lab equipment suppliers,can give guaranteed quality. Get a testimony from the supplier about the special features of the equipment and a demonstration of how the apparatus undertake a specific function.

#Materials Testing

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xtruss · 5 years ago

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Mary Trump’s Book: Eight of Its Most Shocking Claims About The President

Trump ‘paid someone to take his exams’

President emotionally ‘scarred’ by abusive father

Trump shaped by ‘sociopath’ father, niece writes in memoir

The president has a history of making misogynistic comments and has on multiple occasions publicly objectified his daughter Ivanka.

— The Guardian USA | Tuesday July 3, 2020 | Martin Pengelly in New York

Donald Trump and father Fred Trump, a ‘high-functioning sociopath’, according to Mary Trump. Photograph: New York Daily News Archive/NY Daily News via Getty Images

Mary Trump’s book, Too Much and Never Enough: How My Family Created the World’s Most Dangerous Man, contains stunning claims about her uncle, Donald Trump.

Here are eight of the most extraordinary.

Trump allegedly paid someone to take his high school exams

Trump is proud of his attendance at Wharton Business School, at the prestigious University of Pennsylvania. But according to his niece, he got there by cheating – which he “embraces as a way of life”.

Mary Trump writes: “Donald worried that his grade point average, which put him far from the top of the class, would scuttle his efforts to get accepted. To hedge his bets he enlisted Joe Shapiro, a smart kid with a reputation for being a good test taker, to take his SATs for him. That was much easier to pull off in the days before photo IDs and computerised records.”

Trump also had his older brother, Mary Trump’s father Fred Trump Jr, put in a good word for him. As she writes, “all of Donald’s machinations may not even have been necessary. In those days, Penn was much less selective than it is now.”

Trump praised his own niece’s breasts

Mary Trump writes about Donald Trump’s treatment of women, including how – when she was briefly working as his ghostwriter – he provided “an aggrieved compendium of women he had expected to date but who, having refused him, were suddenly the worst, ugliest and fattest slobs he’d ever met”. She includes Madonna and the ice skater Katarina Witt as two of the women he named.

The author also says that at Donald Trump’s Florida resort Mar-a-Lago in the 1990s her uncle saw her in a swimsuit and said: “Holy shit, Mary. You’re stacked.”

Mary Trump writes that Trump’s then wife, Marla Maples, responded with “mock horror, slapping him lightly on the arm”.

“I was 29 and not easily embarrassed,” she writes. “But my face reddened and I suddenly felt self-conscious. I pulled my towel around my shoulders.”

Donald Trump’s sister appears to be a key source

Maryanne Trump Barry retired as a federal judge in 2019, thereby ending an inquiry into family tax schemes. Mary Trump’s uncle Robert, Maryanne’s brother, has attempted to stop his niece’s book in court but in her acknowledgments, the author thanks her aunt “for all of the enlightening information”.

Mary Trump details a call from the president to his sister, who told him his performance in office was “not that good”. Donald Trump did not take that well, his niece writes, and began to ignore his sister’s advice.

Mary Trump spoke to the New York Times about Trump family taxes

Mary Trump isn’t sure if her aunt, whom she calls “older, smarter and more accomplished” than Donald, spoke to the Times for its reports about Trump family tax affairs which won a Pulitzer prize.

She does write that her aunt “knew where the bodies were buried” because she and her siblings “had buried them together”.

But Mary Trump details how she herself came to help the paper. She had been unwilling. But one of the reporters, she writes, told her she had a chance to help “rewrite the history of the president of the United States”, an offer she decided to take after watching “our democracy disintegrating and people’s lives unravelling because of my uncle’s policies”.

In one riveting passage, Trump describes how she obtained and drove away from the firm Farrell Fritz “19 boxes” of financial information, then handed them over.

“The three reporters were waiting for me,” she writes. “When I showed them the boxes there were hugs all round. It was the happiest I’d felt in months.”

Trump told Melania that Mary Trump took drugs

At a Father’s Day celebration at Trump Tower in 1998, while the president was still married to Maples, Mary Trump met her uncle’s new girlfriend, then known as Melania Knauss.

Struck by her silence, she recalls her uncle Robert Trump telling her the then Melania Knauss, a model from Slovenia, stayed quiet not because her English was bad, but because she “knows what she’s there for”.

Donald Trump, Mary Trump writes, told Melania about how he hired his niece to write The Art of the Comeback (a project from which Mary Trump says she was fired) because she had her own “‘back from the brink’ redemption story”.

“You dropped out of college, right?” she says her uncle asked, adding: “It was really bad for a while – and then she started doing drugs.”

Mary Trump denied that, she said, but she writes that she understands now that her uncle “loved comeback stories, and he understood that the deeper the hole you crawled out of, the better billing your triumphant comeback would get”.

“He probably believed his version of events,” she writes.

Trump Christmases could be tough

One year, Donald and his first wife, Ivana Trump, gave the young Mary a single gold lamé shoe, its heel filled with hard candy.

“Where had this thing come from?” Mary writes. “Had it been a door prize or a party favour from a luncheon?

“Donald came through the pantry from the kitchen. As he passed me, he asked, ‘What’s that?’

“It’s a present from you.”

Mary Trump also says that in 1977, when she was 12, her Christmas present from Donald and Ivana was a $12 pack of underwear. Her brother got a leather-bound journal, two years out of date. Later, Mary received a Cellophaned gift basket, “an obvious regift” containing olives and a salami but not one evidently removed item, which a cousin said was “probably caviar”.

Family Christmases were fraught with tension, she says, including Donald and Robert berating their mother, Mary MacLeod Trump, for cooking beef instead of turkey.

“Gam,” she writes, “spent the whole meal with her head bowed, hands in her lap.”

Jared Kushner’s father didn’t think Ivanka was good enough

In 2009, Mary Trump attended the wedding at Trump’s Bedminster golf course in New Jersey of her cousin Ivanka Trump and Jared Kushner. Kushner is Jewish, and Donald Trump stood “awkwardly in a yarmulke”, she writes. The groom’s father, Charles, gave a speech in which he said Ivanka had only made herself worthy of inclusion in his family by committing to convert to Judaism.

Mary Trump was unimpressed: “Considering that Charles had been convicted of hiring a prostitute to seduce his brother-in-law, taping their illicit encounter, and then sending the recording to his sister at his nephew’s engagement party, I found his condescension a bit out of line.”

Trump’s character was shaped by ‘child abuse’

Too Much and Never Enough deals extensively with the emotional abuse of a household topped by an absent father and an ill, neglected mother. Mary Trump contends that Fred Trump Sr’s many failings – ultimately, his being a “high-functioning sociopath” – weighed heavily on all his children, including her father Fred Trump Jr, who died from illness arising from alcoholism in 1981.

“Having been abandoned by his mother for at least a year,” she writes, “and having his father fail not only to meet his needs but to make him feel safe or loved, valued or mirrored, Donald suffered deprivations that would scar him for life [and acquired] personality traits [including] displays of narcissism, bullying, [and] grandiosity.”

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tepthfzco · 6 years ago

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PTE Test Preparation Tips for Aspirants

Pearson Test of English is relatively new in comparison to IELTS or TOEFL in the testing department. The exam is slowly getting popular among international students to undertake and get a proof of their English ability. Though the exam was launched in 2009 but has gained popularity among the takers globally. PTE scores are accepted in over 6000 organisations for visas, immigration, and higher studies in Australia, USA, New Zealand, and Ireland. Prominent universities like Harvard, Yale, and INSEAD among others accept the PTE scores for admission purposes.

Reasons to Take PTE Test

Non-native speakers need to demonstrate a proof of English proficiency to be eligible for visa applications. Several agencies are conducting English tests and certifying aspirants globally. A taker can enjoy several benefits of taking the PTE test. Here are some:

Computerized Test: It is a fully computerised test conducted online after registration in authorised centres. Hence it is a perfect choice for people who hates paperwork.

Quick Exam Result: PTE offers exam results within five business days to takers. No waiting for the result and use scores to apply for admission in different institutes which increases the chance of getting an admission.

Flexible Exam Dates: Finding a suitable date is easy in 150 authorised centres. Aspirants can take and apply for the exam 363 days a year.

Get a Reliable Score: Intelligent machines offer marks and grade to students utilising a transparent scoring system. There is no chance of partiality or getting a bias score in the exam.

Fair and Complete Assessment Test: The test is fair and conducts a complete assessment of the proficiency of takers in the language. Questions exam the real-life settings and academic contents instead of local dialect which confuses takers.

PTE Academic Test Preparation Tips

After knowing the enormous benefits of PTE exam, you must be willing to take the test. In fact, it won’t be a wrong decision as PTE takers get a higher score comparison to other exams. PTE Academic India is a three-hour single sitting test conducted on the computer. The test contains four sections as speaking, writing, reading, and listening. The test comes in 20 question formats with several items in each section.

Get a higher overall score with an excellent preparation. Candidates aiming for a proficient or superior level of proficiency scores needs a proper and rigorous practices in advance. No test is easy. Follow the preparation tips given by experts to get the desired score in the test, as:

Start training early using current question formats

Buy study material PTE official sites

Practice on expired versions of the test

Take mock exam to find out weaker sections for improvements

Focus on improving fluency, writing, pronunciation, and listening capacities

Focus on improving grammatical mistakes and spelling errors

Follow instruction and answer questions within word limit

Learn correct use of punctuation like capital letters, comma, full stop, etc.

Take coaching from experts for improvement on the language

Source: Sooperarticle

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#IFTTT #WordPress

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heicodynamics · 2 years ago

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A computerised universal testing machine (UTM) is a versatile device used to perform mechanical tests on various materials. It is typically used in engineering, manufacturing, research, and quality control settings to evaluate the mechanical properties and behaviour of materials under different conditions.

#universal testing machine manufacturers

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hotspreadpage · 8 years ago

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Will Artificial Intelligence Replace Manual Content Creation?

There are only a few industries in which automation isn’t threatening some job roles. That’s a pretty scary thought, right? Well, don’t panic just yet.

“While automation will eliminate very few occupations entirely in the next decade, it will affect portions of almost all jobs to a greater or lesser degree, depending on the type of work they entail,” according to McKinsey Quarterly.

Roles that require empathy, like therapists and psychologists, as well as jobs that are highly reliant on social and negotiation skills, like managerial positions, are less threatened by automation, according to The Future of Employment: How Susceptible Are Jobs to Computerisation?

Those of us in roles that require creative thinking and original ideas — like content creation — are also deemed at less risk of having our jobs swiped from under our noses by something harder-working, “smarter,” and cheaper to maintain.

For now.

It’s pretty tough to envision a machine generating great content ideas, not to mention creating that content — content worth consuming. Or so you might think.

The reality is that machines are already writing content — and they’re pretty good at it.

In fact, Gartner predicts, “By 2018, 20% of all business content will be authored by machines.”

By 2018, 20% of all business #content will be authored by machines via @Gartner_inc. Click To Tweet

While that’s only a year away, don’t panic — “business content” isn’t quite the same as creative content used for marketing.

Natural language generation

Natural language generation (NLG) is the name given to artificial intelligence capable of producing logical, coherent text.

“Natural language generation is a software process that automatically turns data into human-friendly prose,” as Automated Insights explains.

It’s clever but, unlike a human, NLG can’t produce prose on its own. The format must be templated, and it needs access to a structured data set.

For example, to use NLG tool Wordsmith, you upload your data, write a template and presto — you have content!

Want to see what the results look like? Chances are you already have, although you probably didn’t notice.

Have you ever read Forbes’ earning reports? They are generated using Quill, another NLG platform. Here’s what the content looks like:

“The consensus estimate remains unchanged over the past month, but it has decreased from three months ago when it was 39 cents. For the fiscal year, analysts are expecting earnings of $1.68 per share. Revenue is projected to be 2% above the year-earlier total of $369.4 million at $378.4 million for the quarter. For the year, revenue is projected to roll in at $1.56 billion.”

What do you think?

Sure, it reads fine and it makes sense. If you didn’t know it was written by a machine, you probably wouldn’t notice anything was off. But it lacks something.

Humanity.

The writing has no discernible soul, and why should it? A machine doesn’t.

Machine-generated content has no discernible soul, and why should it, asks @SujanPatel. Click To Tweet

Then again, this is financial content we’re talking about. It doesn’t matter whether the writing has personality. It just needs to accurately report the facts. And for that, NLG is ideal.

Let’s see something else.

Below are the opening sentences to two sports pieces (courtesy of the New York Times). One is written by a human and the other by a machine.

“Things looked bleak for the Angels when they trailed by two runs in the ninth inning, but Los Angeles recovered thanks to a key single from Vladimir Guerrero to pull out a 7-6 victory over the Boston Red Sox at Fenway Park on Sunday.”

“The University of Michigan baseball team used a four-run fifth inning to salvage the final game in its three-game weekend series with Iowa, winning 7-5 on Saturday afternoon (April 24) at the Wilpon Baseball Complex, home of historic Ray Fisher Stadium.”

Can you guess the author for each?

If you couldn’t, you’re not alone. A similar experiment using multiple pieces of text like those above concluded that “readers are not able to discern automated content from content written by a human.” (For the record, the second one was written by a human.)

The study also asked participants to rate each piece of content on 12 characteristics. The results are telling:

Software- and journalist-authored content (also known as machine and human) score pretty equally on factors like coherence and accuracy — characteristics that can easily be learned by a machine (or I assume they can, based on my limited knowledge of programming).

The machine-written content came out on top (noticeably so) for the criteria of trustworthy and informative. That’s fine — those things are important, but they’re not what make content “great.”

The human-written content, however, soared ahead in two critical categories. It was rated significantly less boring and significantly more pleasant to read.

That makes sense.

A computer can’t read the content with a critical eye, and it can’t understand the vital complexities and nuances of language.

But will it be able to one day?

HANDPICKED RELATED CONTENT: Why Automation Is the Future of Content Creation

Turing test

Every year for more than two decades, the artificial intelligence community has congregated for the Turing test — a trial designed to determine whether machines are able to think and talk like humans. It’s named after its creator, Alan Turing — you might know his name from the loosely biographical Oscar-winning film, The Imitation Game.

In 2014, a machine won the Turing Test — reportedly for the first time.

Now, when I initially heard about this, I have to admit I was concerned. If a machine can fool people into thinking they’re conversing with another person, surely it would be capable of creating content that can fool people, too, right? After all, a conversation is unpredictable. A machine that can keep its cover when questioned should produce content using data and a template easily.

Thankfully (for those of us who don’t want to see AI replacing manual content creation, at least) things aren’t quite as they seem. For many years, the Turing test has been regarded as the benchmark for AI intelligence. If a machine can pass the test, it’s deemed to possess at least average human intelligence.

And yet, in the wake of this pass, a number of computer scientists and tech investors questioned the result. Scott Aaronson, a computer scientist and former faculty member at MIT, challenged Eugene (the “winning” machine) to a conversation. Here’s a snippet of what happened:

Anyone with a half-decent grasp of the English language should be able to see that Eugene is far from human. If this is what’s deemed equal to average human intelligence, I think content creators can rest easy.

For now.

Ray Kurzweil, Google’s director of engineering, believes computers will be smarter than humans by 2029. Specifically, he says, they will “be able to understand what we say, learn from experience, make jokes, tell stories, and even flirt.”

Just to clarify, this guy knows his stuff. Not only is he helping to bring natural language understanding to Google, but he has correctly foreseen similar things. In 1990, he predicted that by 1998 a computer would defeat a world-class chess champion. It happened in 1997.

Of course, Kurzweil isn’t talking about content creation specifically, but surely a computer that can comprehend language and learn from experience could create content that stands up to that written by human hands, right?

I honestly think it could — provided it’s given the right data. Based on Kurzweil’s predictions and the quality of content AI already produces, I have little doubt that in the not-so-distant future, computers will be capable of creating some pretty awesome content that’s indistinguishable from human-written content.

What I don’t believe computers will be able to do — at least, not our lifetime — is to think creatively. And that’s key.

Even if computers can create content, they will never be able to think creatively says @SujanPatel. Click To Tweet

The point may come where machines are writing the bulk of business content and news reports, but could a machine write a moving opinion piece or a novel?

AI content creation is, for now, algorithmic. Its capabilities are based on the information we humans provide. This is where I think its limitations lie.

To fully replace manual content creation, AI has to be able to think like a human. It has to be able to feel (to have emotions), it needs to form opinions, and it needs to think critically.

Should that ever happen, I think we’ll have much bigger things to worry about than the demise of manual content creation.

What do you think? Do you believe AI will ever replace truly creative content creators? Let me know in the comments.

Please note: All tools included in our blog posts are suggested by authors, not the CMI editorial team. No one post can provide all relevant tools in the space. Feel free to include additional tools in the comments (from your company or ones that you have used).

Want to explore further the role machines can play in improving your content marketing today and in the future? Don’t miss the Intelligent Content Conference March 28-30 in Las Vegas. Register today and use code BLOG100 to save $100.

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lucyariablog · 8 years ago