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By Emily Newton

The Internet of Things (IoT) and machine learning are two of the most disruptive technologies in business today. Separately, both of these innovations can bring remarkable benefits to any company. Together, they can transform your business entirely.

The intersection of IoT devices and machine learning is a natural progression. Machine learning needs large pools of relevant data to work at its best, and the IoT can supply it. As adoption of both soars, companies should start using them in conjunction.

Here are five ways the IoT and machine learning can improve operations in any business.

Around 25% of businesses today use IoT devices, and this figure will keep climbing. As companies implement more of these sensors, they add places where they can gather data. Machine learning algorithms can then analyze this data to find inefficiencies in the workplace.

Looking at various workplace data, a machine learning program could see where a company spends an unusually high amount of time. It could then suggest a new workflow that would reduce the effort employees expend in that area. Business leaders may not have ever realized this was a problem area without machine learning.

Machine learning programs are skilled at making connections between data points that humans may miss. They can also make predictions 20 times earlier than traditional tools and do so with more accuracy. With IoT devices feeding them more data, theyll only become faster and more accurate.

Machine learning and the IoT can also automate routine tasks. Business process automation (BPA) leverages AI to handle a range of administrative tasks, so workers dont have to. As IoT devices feed more data into these programs, they become even more effective.

Over time, technology like this has contributed to a 40% productivity increase in some industries. Automating and streamlining tasks like scheduling and record-keeping frees employees to focus on other, value-adding work. BPAs potential doesnt stop there, either.

BPA can automate more than straightforward data manipulation tasks. It can talk to customers, plan and schedule events, run marketing campaigns and more. With more comprehensive IoT implementation, it would have access to more areas, becoming even more versatile.

One of the most promising areas for IoT implementation is in the supply chain. IoT sensors in vehicles or shipping containers can provide companies with critical information like real-time location data or product quality. This data alone improves supply chain visibility, but paired with machine learning, it could transform your business.

Machine learning programs can take this real-time data from IoT sensors and put it into action. It could predict possible disruptions and warn workers so they can respond accordingly. These predictive analytics could save companies the all-too-familiar headache of supply chain delays.

UPS Orion tool is the gold standard for what machine learning can do for supply chains. The system has saved the shipping giant 10 million gallons of fuel a year by adjusting routes on the fly based on traffic and weather data.

If a company cant understand the vulnerabilities it faces, business leaders cant make fully informed decisions. IoT devices can provide the data businesses need to get a better understanding of these risks. Machine learning can take it a step further and find points of concern in this data that humans could miss.

IoT devices can gather data about the workplace or customers that machine learning programs then process. For example, Progressive has made more than 1.7 trillion observations about its customers driving habits through Snapshot, an IoT tracking device. These analytics help the company adjust clients insurance rates based on the dangers their driving presents.

Business risks arent the only hazards the Internet of Things and machine learning can predict. IoT air quality sensors could alert businesses when to change HVAC filters to protect employee health. Similarly, machine learning cybersecurity programs could sense when hackers are trying to infiltrate a companys network.

Another way the IoT and machine learning could transform your business is by eliminating waste. Data from IoT sensors can reveal where the company could be using more resources than it needs. Machine learning algorithms can then analyze this data to suggest ways to improve.

One of the most common culprits of waste in businesses is energy. Thanks to various inefficiencies, 68% of power in America ends up wasted. IoT sensors can measure where this waste is happening, and with machine learning, adjust to stop it.

Machine learning algorithms in conjunction with IoT devices could restrict energy use, so processes only use what they need. Alternatively, they could suggest new workflows or procedures that would be less wasteful. While many of these steps may seem small, they add up to substantial savings.

Without the IoT and machine learning, businesses cant reach their full potential. These technologies enable savings companies couldnt achieve otherwise. As they advance, theyll only become more effective.

The Internet of Things and machine learning are reshaping the business world. Those that dont take advantage of them now could soon fall behind.

Emily Newton is the Editor-in-Chief of Revolutionized, a magazine exploring how innovations change our world. She has over 3 years experience writing articles in the industrial and tech sectors.

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5 Ways the IoT and Machine Learning Improve Operations - BOSS Magazine

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A recommendation engine is a class of machine learning algorithm that suggests products, services, information to users based on analysis of data. Robust recommendation systems are the key differentiator in the operations of big companies like Netflix, Amazon, and Byte Dance (TikTok parent) etc.

Alok Menthe, Data Scientist at Ericsson, gave an informative talk on building Custom recommendation engines for real-world problems at the Machine Learning Developers Summit (MLDS) 2021. Whenever a niche business problem comes in, it has complicated intertwined ways of working. Standard ML techniques may be inadequate and might not serve the customers purpose. That is where the need for a custom-made engine comes in. We were also faced with such a problem with our service network unit at Ericsson, he said.

Menthe said the unit wanted to implement a recommendation system to provide suggestions for assignment workflow a model to delegate the incoming projects to the most appropriate team or resource pool

Credit: Alok Menthe

There were three kinds of data available:

Pool definition data: It relates to the composition of a particular resource poolthe number of people, their competence, and other metadata.

Historical demand data: This kind of data helps in establishing a relationship between the feature demand and a particular resource pool.

Transactional data: It is used for operational purposes.

Menthe said building a custom recommendation system in this context involves the following steps:

Credit: Alok Menthe

After building our model, the most difficult part was feature engineering, which is imperative for building an efficient system. Among the two major modules classification and clusteringwe faced challenges with respect to the latter. We had only categorical information making it difficult to find distances within the objects. We went out of the box to see if we can do any special encoding for the data. We adopted data encoding techniques and frequency-based encoding in this regard, said Menthe.

Clustering module: For this module, initially the team implemented K-modes and agglomerative. However, the results were far from perfect, prompting the team to consider the good-old K-means algorithm. For evaluation purposes, it was done manually with the help of subject matter experts.

The final model had 700 resource pools condensed to 15 pool clusters.

Classification module: For this module, three kinds of algorithm iterations were usedRandom Forest, Artificial Neural Network, XGBoost. Classification accuracy was used as an evaluation metric. Finally, upon 50,00,000 training records, this module demonstrated an accuracy of 71 percent.

Menthe said this recommendation model is monitored on a fortnightly basis by validating the suggested pools against the allocated pools for project demands:

The model has proved to be successful on three fronts:

Menthe summarised the three major takeaways from this project in his concluding remarks: the need to preserve business nuances in ML solutions; thinking beyond standard ML approaches; and understanding that there is no silver bullet ML solution.

I am a journalist with a postgraduate degree in computer network engineering. When not reading or writing, one can find me doodling away to my hearts content.

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There Is No Silver Bullet Machine Learning Solution - Analytics India Magazine

Department of Computer Science

Grade 7:-33,797 - 40,322 per annum Fixed Term-Full Time Contract Duration:7 months Contracted Hours per Week:35 Closing Date:13-Mar-2021, 7:59:00 AM

Durham University

Durham University is one of the world's top universities with strengths across the Arts and Humanities, Sciences and Social Sciences. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives.

The University sits in a beautiful historic city where it shares ownership of a UNESCO World Heritage Site with Durham Cathedral, the greatest Romanesque building in Western Europe. A collegiate University, Durham recruits outstanding students from across the world and offers an unmatched wider student experience.

Less than 3 hours north of London, and an hour and a half south of Edinburgh, County Durham is a region steeped in history and natural beauty. The Durham Dales, including the North Pennines Area of Outstanding Natural Beauty, are home to breathtaking scenery and attractions. Durham offers an excellent choice of city, suburban and rural residential locations. The University provides a range of benefits including pension and childcare benefits and the Universitys Relocation Manager can assist with potential schooling requirements.

Durham University seeks to promote and maintain an inclusive and supportive environment for work and study that assists all members of our University community to reach their full potential. Diversity brings strength and we welcome applications from across the international, national and regional communities that we work with and serve.

The Department

The Department of Computer Science is rapidly expanding. A new building for the department (joint with Mathematical Sciences) has recently opened to house the expanded Department. The current Department has research strengths in (1) algorithms and complexity, (2) computer vision, imaging, and visualisation and (3) high-performance computing, cloud computing, and simulation. We work closely with industry and government departments. Research-led teaching is a key strength of the Department, which came 5th in the Complete University Guide. The department offers BSc and MEng undergraduate degrees and is currently redeveloping its interdisciplinary taught postgraduate degrees. The size of its student cohort has more than trebled in the past five years. The Department has an exceptionally strong External Advisory Board that provides strategic support for developing research and education, consisting of high-profile industrialists and academics. Computer Science is one of the very best UK Computer Science Departments with an outstanding reputation for excellence in teaching, research and employability of our students.

The Role

Postdoctoral Research Associate to work on the AHRC-funded project Visitor Interaction and Machine Curation in the Virtual Liverpool Biennial.

The project looks at virtual art exhibitions that are curated by machines, or even co-curated by humans and machines; and how audiences interact with these exhibitions in the era of online art shows. The project is in close collaboration with the 2020 (now 2021) Liverpool Biennial (http://biennial.com/). The role of the post holder is, along with the PI Leonardo Impett, to implement different strategies of user-machine interaction for virtual art exhibits; and to investigate the interaction behaviour of different types of users with such systems.

Responsibilities:

This post is fixed term until31 August 2021 as the research project is time limited and will end on 31 August 2021.

The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post byFebruary 2021.

How to Apply

For informal enquiries please contactDr Leonardo Impett (leonardo.l.impett@durham.ac.uk).All enquiries will be treated in the strictest confidence.

We prefer to receive applications online via the Durham University Vacancies Site.https://www.dur.ac.uk/jobs/. As part of the application process, you should provide details of 3 (preferably academic/research) referees and the details of your current line manager so that we may seek an employment reference.

Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in the University.We are committed to equality: if for any reason you have taken a career break or periods of leave that may have impacted on your career path, such as maternity, adoption or parental leave, you may wish to disclose this in your application.The selection committee will recognise that this may have reduced the quantity of your research accordingly.

What to Submit

All applicants are asked to submit:

The Requirements

Essential:

Qualifications

Experience

Skills

Desirable:

Experience

Skills

DBS Requirement:Not Applicable.

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Postdoctoral Research Associate in Digital Humanities and Machine Learning job with DURHAM UNIVERSITY | 246392 - Times Higher Education (THE)

AI and machine-learning advances have made it possible to produce fake videos and photos that seem real, commonly known as deepfakes. Deepfake content is exploding in popularity.[i] In Star Wars: The Rise of Skywalker, for instance, a visage of Carrie Fischer graced the screen, generated through artificial intelligence models trained on historic footage. Using thousands of hours of interviews with Salvador Dali, the Dali Museum of Florida created an interactive exhibit featuring the artist.[ii] For Game of Thrones fans miffed over plot holes in the season finale, Jon Snow can be seen profusely apologizing in a deepfake video that looks all too real.[iii]

Deepfake technologyhow does it work? From a technical perspective, deepfakes (also referred to as synthetic media) are made from artificial intelligence and machine-learning models trained on data sets of real photos or videos. These trained algorithms then produce altered media that looks and sounds just like the real deal. Behind the scenes, generative adversarial networks (GANs) power deepfake creation.[iv] With GANs, two AI algorithms are pitted against one another: one creates the forgery while the other tries to detect it, teaching itself along the way. The more data is fed into GANs, the more believable the deepfake will be. Researchers at academic institutions such as MIT, Carnegie Mellon, and Stanford University, as well as large Fortune 500 corporations, are experimenting with deepfake technology.[v] Yet deepfakes are not solely the province of technical universities or AI product development groups. Anybody with an internet connection can download publicly available deepfake software and crank out content.[vi]

Deepfake risks and abuse. Deepfakes are not always fun and games. Deepfake videos can phish employees to reveal credentials or confidential information, e-commerce platforms may face deepfake circumvention of authentication technologies for purposes of fraud, and intellectual property owners may find their properties featured in videos without authorization. For consumer-facing online platforms, certain actors may attempt to leverage deepfakes to spread misinformation. Another well-documented and unfortunate abuse of deepfake technology is for purposes of revenge pornography.[vii]

In response, online platforms and consumer-facing companies have begun enforcing limitations on the use of deepfake media. Twitter, for example, announced a new policy within the last year to prohibit users from sharing synthetic or manipulated media that are likely to cause harm. Per its policy, Twitter reserves the right to apply a label or warning to Tweets containing such media.[viii] Reddit also updated its policies to ban content that impersonates individuals or entities in a misleading or deceptive manner (while still permitting satire and parody).[ix] Others have followed. Yet social media and online platforms are not the only industries concerned with deepfakes. Companies across industry sectors, including financial and healthcare, face growing rates of identity theft and imposter scams in government services, online shopping, and credit bureaus as deepfake media proliferates.[x]

Deepfake legal claims and litigation risks. We are seeing legal claims and litigation relating to deepfakes across multiple vectors:

1. Claims brought by those who object to their appearance in deepfakes. Victims of deepfake media sometimes pursue tort law claims for false light, invasion of privacy, defamation, and intentional infliction of emotional distress. At a high level, these overlapping tort claims typically require the person harmed by the deepfake to prove that the deepfake creator published something that gives a false or misleading impression of the subject person in a manner that (a) damages the subjects reputation, (b) would be highly offensive to a reasonable person, or (c) causes mental anguish or suffering. As more companies begin to implement countermeasures, the lack of sufficient safeguards against misleading deepfakes may give rise to a negligence claim. Companies could face negligence claims for failure to detect deepfakes, either alongside the deepfake creator or alone if the creator is unknown or unreachable.

2. Product liability issues related to deepfakes on platforms. Section 230 of the Communications Decency Act shields online companies from claims arising from user content published on the companys platform or website. The law typically bars defamation and similar tort claims. But e-commerce companies can also use Section 230 to dismiss product liability and breach of warranty claims where the underlying allegations focus on a third-party sellers representation (such as a product description or express warranty). Businesses sued for product liability or other tort claims should look to assert Section 230 immunity as a defense where the alleged harm stems from a deepfake video posted by a user. Note, however, the immunity may be lost where the host platform performs editorial functions with respect to the published content at issue. As a result, it is important for businesses to implement clear policies addressing harmful deepfake videos that broadly apply to all users and avoid wading into influencing a specific users content.

3. Claims from consumers who suffer account compromise due to deepfakes. Multiple claims may arise where cyber criminals leverage deepfakes to compromise consumer credentials for various financial, online service, or other accounts. The California Consumer Privacy Act (CCPA), for instance, provides consumers with a private right of action to bring claims against businesses that violate the duty to implement and maintain reasonable security procedures and practices.[xi] Plaintiffs may also bring claims for negligence, invasion of privacy claims under common law or certain state constitutions, and state unfair competition or false advertising statutes (e.g., Californias Unfair Competition Law and Consumers Legal Remedies Act).

4. Claims available to platforms enforcing Terms of Use prohibitions of certain kinds of deepfakes. Online content platforms may be able to enforce prohibitions on abusive or malicious deepfakes through claims involving breach of contract and potential violations of the Computer Fraud and Abuse Act (CFAA), among others. These claims may turn on nuanced issues around what conduct constitutes exceeding authorized access under the CFAA, or Terms of Use assent and enforceability of particular provisions.

5. Claims related to state statutes limiting deepfakes. As malicious deepfakes proliferate, several states such as California, Texas, and Virginia have enacted statutes prohibiting their use to interfere with elections or criminalizing pornographic deepfake revenge video distribution.[xii] More such statutes are pending.

Practical tips for companies managing deepfake risks. While every company and situation is unique, companies dealing with deepfakes on their platforms, or as a potential threat vector for information security attacks, can consider several practical avenues to manage risks:

While the future of deepfakes is uncertain, it is apparent that the underlying AI and machine-learning technology is very real and here to staypresenting both risks and opportunity for organizations across industries.

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The Collision of AI's Machine Learning and Manipulation: Deepfake Litigation Risks to Companies from a Product Liability, Privacy, and Cyber...

February 09, 2021 08:00 ET | Source: Parascript

Longmont, CO, Feb. 09, 2021 (GLOBE NEWSWIRE) -- Parascript, which provides document analysis software processing for over 100 billion documents each year, announced today the Smart-Force (SFORCE) and Parascript partnership to provide a digital workforce that augments operations by combining cognitive Robotic Process Automation (RPA) technology with customers current investments for high scalability, improved accuracy and an enhanced customer experience in Mexico and across Latin America.

Partnering with Smart-Force means we get to help solve some of the greatest digital transformation challenges in Intelligent Document Processing instead of just the low-hanging fruit. Smart-Force is forward-thinking and committed to futureproofing their customers processes, even with hard-to-automate, unstructured documents where the application of techniques such as NLP is often required, said Greg Council, Vice President of Marketing and Product Management at Parascript. Smart-Force leverages bots to genuinely collaborate with staff so that the staff no longer have to spend all their time on finding information, and performing data entry and verification, even for the most complex multi-page documents that you see in lending and insurance.

Smart-Force specializes in digital transformation by identifying processes in need of automation and implementing RPA to improve those processes so that they run faster without errors. SFORCE routinely enables increased productivity, improves customer satisfaction, and improves staff morale through leveraging the technology of Automation Anywhere, Inc., a leader in RPA, and now Parascript Intelligent Document Processing.

As intelligent automation technology becomes more ubiquitous, it has created opportunities for organizations to ignite their staff towards new ways of working freeing up time from the manual tasks to focus on creative, strategic projects, what humans are meant to do, said Griffin Pickard, Director of Technology Alliance Program at Automation Anywhere. By creating an alliance with Parascript and Smart-Force, we have enabled customers to advance their automation strategy by leveraging ML and accelerate end-to-end business processes.

Our focus at SFORCE is on RPA with Machine Learning to transform how customers are doing things. We dont replace; we compliment the technology investments of our customers to improve how they are working, said Alejandro Castrejn, Founder of SFORCE. We make processes faster, more efficient and augment their staff capabilities. In terms of RPA processes that focus on complex document-based information, we havent seen anything approach what Parascript can do.

We found that Parascript does a lot more than other IDP providers. Our customers need a point-to-point RPA solution. Where Parascript software becomes essential is in extracting and verifying data from complex documents such as legal contracts. Manual data entry and review produces a lot of errors and takes time, said Barbara Mair, Partner at SFORCE. Using Parascript software, we can significantly accelerate contract execution, customer onboarding and many other processes without introducing errors.

The ability to process simple to very complex documents such as unstructured contracts and policies within RPA leveraging FormXtra.AI represents real opportunities for digital transformation across the enterprise. FormXtra.AI and its Smart Learning allow for easy configuration, and by training the systems on client-specific data, the automation is rapidly deployed with the ability to adapt to new information introduced in dynamic production environments.

About SFORCE, S.A. de C.V.

SFORCE offers services that allow customers to adopt digital transformation at whatever pace the organization needs. SFORCE is dedicated to helping customers get the most out of their existing investments in technology. SFORCE provides point-to-point solutions that combine existing technologies with next generation technology, which allows customers to transform operations, dramatically increase efficiency as well as automate manual tasks that are rote and error-prone, so that staff can focus on high-value activities that significantly increase revenue. From exploring process automation to planning a disruptive change that ensures high levels of automation, our team of specialists helps design and implement the automation of processes for digital transformation. Visit SFORCE.

About Parascript

Parascript software, driven by data science and powered by machine learning, configures and optimizes itself to automate simple and complex document-oriented tasks such as document classification, document separation and data entry for payments, lending and AP/AR processes. Every year, over 100 billion documents involved in banking, insurance, and government are processed by Parascript software. Parascript offers its technology both as software products and as software-enabled services to our partners. Visit Parascript.

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Parascript and SFORCE Partner to Leverage Machine Learning Eliminating Barriers to Automation - GlobeNewswire

As companies in the UAE scale up their adoption of Artificial Intelligence (AI) and Machine Learning (ML) implementation, a new report suggests that UAE organisations are now on par with their global counterparts in boasting mature capabilities in these fields.

Nonetheless, the vast majority of organisations in the wider EMEA regionincluding the UAEare still at the early stages of exploring the technologys potential (52%) or still require significant organisational work to implement an AI/ML solution (36%).

These are the key findings of new research from Rackspace Technology Inc, an end-to-end, multi-cloud technology solutions company, which revealed that the majority of organisations lack the internal resources to support critical AI and ML initiatives.The survey, Are Organisations Succeeding at AI and Machine Learning?,indicates that while many organisations are eager to incorporate AI and ML tactics into operations, they typically lack the expertise and existing infrastructure needed to implement mature and successful AI/ML programmes.

This study shines a light on the struggle to balance the potential benefits of AI and ML against the ongoing challenges of getting AI/ML initiatives off the ground. While some early adopters are already seeing the benefits of these technologies, others are still trying to navigate common pain points such as lack of internal knowledge, outdated technology stacks, poor data quality or the inability to measure ROI.

Other key findings of the report include the following:

Countries across EMEA, including the UAE, are lagging behind in AI and ML implementation, which can be hindering their competitive edge and innovation, said Simon Bennett, Chief Technology Officer, EMEA, Rackspace Technology. Globally were seeing IT decision-makers turn to these technologies to improve efficiency and customer satisfaction. Working with a trusted third-party provider, organisations can enhance their AI/ML projects moving beyond the R&D stage and into initiatives with long-term impacts.

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Rackspace Technology Study uncovers AI and Machine Learning knowledge gap in the UAE - Intelligent CIO ME

Over the years, digital transformation has modified the way people and organizations function. While the researches are carried out to find ways of integrating technology into the traditional sectors of a country, some noteworthy technologies have surfaced.

Amongst them are blockchain and machine learning.

What are blockchain and machine learning?

Blockchains an immutable ledger that aids in maintaining the records of transactions and tracking assets in an organization.

As for the assets, they can be tangible or intangible. Additionally, the transaction may refer to cash inflows and outflows.

Blockchain is playing a significant role in many organizations due to several reasons.

With this latest technology, anything can be traded and track, which minimizes the risk and cut the costs. As a result, a business can employ fewer accountants and efficiently manage their accounts with minimal to zero errors.

Secondly, blockchain management helps track orders, production processes, and payments that are to be made to the business itself or others.

Lastly, blockchain stores information with great secrecy, which gives more confidence and a sense of security to the business. Therefore, a business can significantly benefit from the increased efficiency, which may lead to economies of scale. As a result, decreased average costs will provide the business with more opportunities.

On the other hand, machine learning is a type of Artificial Intelligence that allows the system to learn from the data and not through explicit learning. Nonetheless, it is not a simple procedure.

Furthermore, a machine-learning model is an outcome generated through the training of your machine-learning algorithm. Therefore, you will receive an output after providing an input after the machine is trained.

There are various approaches to machine-learning which are based on the volume and kind of data.

These approaches include supervised learning, unsupervised learning, reinforcement learning, and deep learning.

If you are a Researcher or student want to write and dissertation or thesis on Blockchain, Artificial intelligence, you can visit Researchprospect.com and find Blockchain andArtificial Intelligence Topics for Dissertation.

Impact of blockchain on education system

Since the functioning, if organizations have modified due to newfound technology, this will directly impact the education system in many ways.

Maintaining student records

Academic records are one of the most demanding documents to maintain. Labor-intensive tasks such as these consume more time leading to inefficiencies and a greater risk of mistakes. However, blockchain technology ensures accuracy and efficiency.

Moreover, certification of students who are enrolled in a course is another tedious task. It becomes even more challenging at the university level to compare the coursework of students and know their credibility. Manually, the information shall be stamped a designed for authentication.

However, with blockchain, a person can gain access to the verified record of a students academic course and achievements.

Issuance of certificates

Imagine how tiring it would be to print gazillions and gazillions of certificates, sign them off and award them. Though this has been happening for years, it is undoubtedly a challenging task.

Therefore, blockchain has brought much ease. A students certificates, diplomas, and degrees can be stored and issued with just a few clicks.

In this way, the employers will only need a link to access the diploma, unlike viewing a paper copy of certificates.

This is not only eco-friendly, but it will prevent students from submitting fake diplomas and certificates.

Aside from diplomas and degrees, a resume has other elements that an employer might look at. This includes foreign languages, special abilities, technical knowledge, and extracurricular. However, a person will need verification to prove they learned this skill over time.

This authentication comes from the badges and certificates. Therefore, if you store these on the blockchain, it will verify the existence of your skills conveniently.

Impact of machine learning on education system

Learning analytics

Machine-learning can aid the teachers in gaining access to data that is complex yet important. Computers can help the teachers to perform tasks. As a result, the teachers can derive conclusions that positively affect the learning process.

Predictive analytics

Furthermore, machine learning can help analyze and derive conclusions about situations that can happen in the future. If a teacher wants to use the data of school students, they do so within minutes. Also, blockchain can help the admin know if a student fails to achieve a certain level. Aside from this, predictive analytics can predict the students future grade to provide a direction to the teachers.

Adaptive learning

Adaptive learning is a tech-based education system that elaborates a students performance and modifies learning methods.

Therefore, machine learning can aid struggling students or students with different abilities.

Personalized learning

On the other hand, personalized learning is an education system that guides every student according to their capability.

Henceforth, the students can pick out their interests through machine-learning, and teachers can fit the curriculum according to it.

Improved efficiency

Machine learning can make the education system more efficient by providing detailed analysis, completing work related to classroom management. The teacher can efficiently manage databases to maintain records and plan out the schedule for the coming weeks.

If they want, they can refer to it whenever. Therefore, machine learning will not only save up the teachers energy but their time as well.

Assessments

Did you imagine artificial intelligence could test students? Machine learning can be used to grade students assignments and assessments alongside exams.

Though assessing students through machine-learning might require some human effort, it will surely provide extraordinarily valid and reliable results.

Teachers can feel confident if the grades accuracy while students can be sure that grades have been awarded on equal merit and fairly.

Conclusively, technological advancement has dramatically revolutionized the educational sector of countries. In the coming years, block chain and machine learning will continue to impact the education system positively. However, it comes with inevitable repercussions as well. Rapid capital-intensity means that manual workers will no longer be needed to perform various functions. Henceforth, it will cause massive unemployment sooner or later. As a result, the government might face difficulties in retaining the right economic conditions. Lastly, automation such as blockchain and machine-learning are costly procedures that may not be affordable for every institute.

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How Blockchain and Machine Learning Impact on education system - ABCmoney.co.uk

The Red Devils left-back has enjoyed a welcome return to form this season, with his persistence and patience being rewarded at Old Trafford

Luke Shaw claims to have never given any thought to leaving Manchester United, even when he was coming in for public criticism from former Red Devils manager Jose Mourinho.

The 25-year-old endured a testing time to his start at Old Trafford, with a serious broken leg followed by struggles for form under a demanding Portuguese coach.

He could have been forgiven for walking away at that stage and starting afresh elsewhere, but a left-back who has rediscovered a spark this season says that was never an option he considered.

It was a very hard time a couple of years back when I wasnt playing, when I wasnt even involved, Shaw told BBC Sport heading into an FA Cup fifth-round clash with West Ham on Tuesday.

I always believed in myself. There were times where maybe people were thinking maybe he could leave, but I always believed that one day I would be able to fight my way back into the team and show people what my qualities are.

I feel like I am starting to do that now but there is still more to come. Im still quite young and have time to improve.

He added on being singled out by Mourinho: It was difficult because I wasnt able to get my word across.

A lot of people were behind me here, so I knew I had that backing, but I just needed to keep my head down and keep quiet.

People were saying negative things about me but I just look back at it as a learning curve and something that has improved me as a person off the pitch, not just on it.

You always have some doubts. I have been very unfortunate to pick up the injuries I have had but Ive always believed I can be an important player here.

You want to be here and showing people what you can do. Hopefully I can keep doing that and proving people wrong.

Back in September 2016, Mourinho said after a shock 3-1 defeat to Watford, which came on the back of a derby reversal against Manchester City: "[Aleksandar] Kolarov has the ball in a difficult situation in the corner and my player instead of going up and pressing decides to give him space.

Today for the second goal, [Nordin]Amrabat on the right side, our left-back is 25 metres distance from him, instead of five metres. But even at 25 metres, then you have to jump and go press. But no, we wait.

This is a tactical but also a mental attitude. In a couple of weeks, everything like this becomes perfect. That's my job.

In April 2017, Mourinho claimed to have had to talk Shaw through an outing against Everton, saying: "He had a good performance, but it was his body with my brain.

"He was in front of me and I was making every decision for him.

"The communication was possible because we were very close. I was thinking for him, when to close inside, when to open, when to press the opponent, I was making every decision for him."

Shaw has shrugged off the issues of his recent past to become a key man for United in the present.

He has credited the arrival of Alex Telles in the summer of 2020 with bringing even more out of him, with added competition for places forcing him to raise his game.

An England recall ahead of the European Championships is now being mooted, with the last of eight caps for the Three Lions having been collected by the former Southampton defender in 2018.

Originally posted here:
Shaw never considered Man Utd exit after being publicly criticised by Mourinho - Goal.com

Workaholics are driven to work excessively.

As a culture, weve come to value growth and productivity, making paid work not only a necessity, but a central concern in peoples lives. Yet this attitude towards work is harming us more than its helping, with research showing that workaholism (also known as work addiction) is a growing problem in the industrialised world. And according to the findings of a recent study, work addiction is linked with poorer mental health.

Work addiction is a clinical condition characterised by an obsessive and compulsive interest in work. People usually work more than theyre required to, either by the workplace or because of financial need. Other characteristics include being concerned about their performance at work, rigid thinking and perfectionism, which is often projected onto others.

People with work addiction are driven to work excessively, despite the detrimental impacts this has on their personal health and wellbeing, and relationships. People at risk of developing work addiction often have low self esteem, experience doubt about their performance at work, or have obsessive compulsive personality traits.

Numerous studies have shown the negative impact of work addiction on mental health. But a recent study on workers in France investigated why work addiction happens to better understand the impact it has on mental and physical health.

The researchers looked at a total of 187 workers from a range of different occupations and demographics, who were asked to answer four different questionnaires. They found that high work demands and people who worked in high pressure roles for example managers with greater responsibilities were the most significant factors contributing to the risk of work addiction.

Where this was accompanied by working longer hours than required and having an obsessive approach to work, there was an even greater risk of developing work addiction. Women were also shown to be more predisposed to developing work addiction than men. Although its not entirely clear why women were more likely to develop work addiction, other research has had similar findings.

Workers with depression were twice as likely to develop work addiction compared to those without a mental health issue. Poor quality of sleep, high levels of stress and low levels of overall wellbeing were also identified as high risk factors.

Although this studys sample size was small, previous research has also shown that work addiction is associated with depression, stress, sleep disorders and lower mental health. Burnout and exhaustion were also reported.

Work addiction is more common in industrialised countries where work performance is a measure of success. This suggests that neoliberal ideas about work are influential in increasing the risk of work addiction. These ideas place pressure on intensifying workloads and performance at work in order to promote economic growth. They also focus on increasing a persons responsibilities at work.

Given the harms of work addiction, radical changes in both workplaces and society will be necessary. As I have argued before, this would require society to stop viewing work as a pivotal tool of performance and growth, and instead place greater value and importance on the health and wellbeing of the worker, both individually and collectively.

Support and change can actually happen in the workplace itself, which is why its important for employers to recognise and address work demands in a positive way. For example, one study has found that increasing job security and opportunities for development lowered the risk of work addiction.

Other studies have suggested that work-life balance interventions could reduce the risk or work addiction. For example, if workplaces actively reduce working hours in order to give employees a chance to spend more time with their family, it can actually result in better work performance. And, fewer working hours may also reduce family conflict for workers, as employees are able to engage in family time more meaningfully.

Promoting work-life balance has also been shown to increase both physical and psychological health, and personal resilience for workers. Balancing time and energy used on work and personal life helps people feel better subsequently both improving mental and physical health.

All this suggests that workplaces should develop work-life balance initiatives, provide opportunities for career development and increase job security to prevent work addiction from happening. These changes may also lower stress and absenteeism while improving performance.

But not all workplaces have these kind of strategies in place and they can be hard to implement because of our cultures focus on performance and economic growth. If youre concerned you have or are developing work addiction, address the problem now if possible.

Seek support at work by talking to managers and peers if you can, ask for performance feedback, or even see if there is a way you can work to reduce some of your working hours. Speaking to mental health and wellbeing services can also help. If you dont have support in your workplace, try talking with friends and family, and ask for their help in refocusing your time such as having them remind you to take breaks from work.

Of course, better work-life balance will help, but this can be a very hard thing to do as it requires adjusting daily patterns and changing how you think and feel. But if youre able to balance work with other activities such as seeing family and friends, exercising, or enjoying hobbies your mental health and wellbeing will improve.

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Work addiction can be harmful to mental health - The Conversation UK

Where do you live? In the Upper West Side, Manhattan, New York City with my incredible wife Courtland.

What did you have for breakfast? A warm cup of cafe con leche (Almond milk + Instant Coffee) and avocado toast!

Describe your perfect day Wake up with the sun on my face, read in bed, meditate, have breakfast with my wife, practice guitar, go for a run, bike along a new pathway and so much more!

Best book ever read? The Secret by Rhonda Byrne. It taught me so many things including, Your thoughts become things!

Best childhood memory? My parents getting me my first (many since then) electric guitar from Evangelismos Music Stores!

What is always in your fridge? Almond milk!

What music are you listening to in the car at the moment? I have lived in NYC for over seven years so I havent owned a car since then!

Whats your spirit animal? Tiger. Known for its fiery passion, daring, and fearlessness, the tiger is universally respected and revered for its courage.

What are you most proud of? Not giving up on my dream of making it in the USA despite everything around me (at a certain part of my life) telling me I should stop dreaming and just settle for whats within my reach.

What movie scene has really stayed with you? The scene where The Mask (Jim Carrey) starts dancing and singing with the whole crowd of cops that are there to arrest him. As the Mask, he was able to take ANY situation, and make it work out for him!

If you could pick anyone at all (alive or dead) to go out for the evening with, who would it be? The greatest artist, singer, musician, dancer and philanthropist of them all Michael Jackson! (Didnt have to think twice about it)

If you could time travel when/where would you go? 80s baby!!

What is your greatest fear? Knowing that I could have done something but didnt!

What would you say to your 18-year-old self? You can be, do and have anything you want in this life. You just need patience, persistence and perseverance!

Name the one thing that would stop you dating someone A deep negative mental attitude. What you focus on grows.

If the world is ending in 24 hours what would you do? Call everyone that has had a positive impact on my life and tell them thank you and I love you. THEN have a crazy good party with all the close people in my life!

The rest is here:
A minute with Mike Papapavlou Guitar World Magazine's Guitar Teacher of The Year - Cyprus Mail