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Retention of students is an issue for academic institutions across the globe, given limited resources and tight budgets. In some countries, the average dropout rate is around 45%. Accordingly, measures are being taken to find a solution to this problem. Experts say that such strategies are most effective if applied in a students first year of the opted course.

The importance of artificial intelligence (AI) and machine learning (ML) can be vital here. Using AI-enabled devices, instructors can suit everyone's needs and requirements on a case-by-case basis which means each learner gets desired attention. AI in education is an emerging field that can be broadly classified into two subfields: Educational Data Mining and Learning Analytics.

Educational data mining helps learners learn and identify the settings where they perform well, as well as give deeper insights into the understanding of educational phenomena. In the future, AI-enabled applications will become common in universities that will integrate with other techniques to track the behavior of students, for instance finding the students risk of abandoning their studies so that timely action can be taken.

To keep track of students and courses, educational institutions retain vast amounts of data. The data contains information about students, their grades, faculty performance, etc. This data is very precious for the process of data mining in the educational sector as it serves as the basis for training any AI-ML model. Educational institutions that have adopted AI-ML have observed an increase in their efficiency because of the timely decisions taken by them.

Learning analytics is a new realm in education concerning AI, that can be considered as data collection about learners, analysing it, and reporting learners and their contexts. The goal is to understand and optimise learning and make this field more efficient. This involves using data visualisation, social network analysis, modelling and prediction of educational data using AI-ML techniques.

The challenge for academic institutions is the low performance when a significant number of students try hard to manage their studies and are forced to change their majors, or dismissed from the program, or have their graduation delayed. Teaching practices that are enabled with technology identify struggling students and produce rich data to detect at-risk students and find solutions for them. Besides improving the accuracy of prediction of AI-ML models, it is very important to improve the accuracy of prediction of failing students, who require immediate attention and support.

To handle at-risk students, the traditional approach which most educational institutions have been following is to collect the data about learners and work towards remediation. The actions could be in the form of moral and psychological support, counselling, mock tests, etc. The new generation is growing up with AI-ML-based learning systems; therefore, this is the need of an hour for an education system that prepares students for the data-driven society in which they live.

Dr Akhter Mohiuddin is an Associate Professor of Data Sciences, Great Lakes Institute of Management, Gurgaon. Views expressed here are his own

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Artificial Intelligence can read a students data to tell you if hes going to be a topper or a dropout - EdexLive

Cybers intro music has clips from various movies. The first is from WarGames, a 1983 film where a hacker squares off against an artificial intelligence thats in control of the nukes. Almost forty years later and AI is beating people at Starcraft 2, which is not quite the organization of a nuclear war but can still feel scary.

But how smart are these systems really? Is AI, or machine learning as practitioners prefer to call it, the next big thing or just another in a series of promises about the future that hasnt quite materialized? What are the actual dangers of these systems?

Here to help us answer this question is Os Keyes. Keyes is PhD student at the University of Washingtons Department of Human Centred Design & Engineering and an occasional Motherboard contributor. Their area of expertise is, broadly, how technology constructs the world we live in.

Its a wide-ranging conversation that covers everything from Henry Kissinger to Human Centipede and the hard limits of artificial intelligence.

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The Promise and Terror of Artificial Intelligence - VICE

Technology has changed numerous aspects of the manner in which you have currently chosen to end up living your life, but one of the biggest impacts that it has had has to do with the world of art. Drawing something used to require a fair amount of skill, but the advancement of neural networks and the like has given rise to new art forms that dont require any actual physical drawing or painting skills although they are equally as demanding from a creative point of view.

With all of that having been said and now out of the way, it is important to note that one of the most revolutionary technologies that lots of people are talking about in this regard is Pixray. This is a website that makes it so that you can draw virtually anything you want as long as you input it correctly. The way this works is that the website uses AI to use your input and turn it into a visual work of art that might change how we make art in the first place.

Previously, a lot of work was being done to make AI better at recognizing faces. That got to the point where AI could be used to create brand new faces that no one has ever seen before with all things having been considered and taken into account. However, the thing that sets Pixray apart is the fact that it goes beyond that by allowing you to input any and all text you choose and use the AI to create an image the accurately corresponds to that text.

For example, a real estate developer could potentially use this AI to create a visual representation of something they want to build at some point. Artists could also use this as a starting point to develop newer and better ways of expressing themselves which might bring about a brand new cultural revolution if you think about how it can benefit such individuals from a lot of points of view.

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How Pixray Uses Artificial Intelligence to Make Drawing Art Easier - Digital Information World

Ever since Tesla started its journey as a carmaker, the auto industry has never been the same. The old model of selling higher trims and more options is about to collapse. The new model is to keep the car running for as long as possible and make profits from software subscriptions and services. This way, the cars will retain their value for longer, while models can remain in production long enough for the development costs to be covered.

In this new territory, Tesla is still the undisputed king. Its nimble lineup endures for years with little changes in the technical department, and new features are added every quarter while the car owner sleeps in his bed. Some of them are free of charge, but for others the user must pay, upfront or through a subscription, and that generates an important revenue stream for Tesla.

Now, Stellantis wants a piece of the pie too and wants its cars all fitted with artificial intelligence (AI) software, starting as soon as 2024. The automaker presented its software strategy on Tuesday and said it expects to have 34 million connected vehicles on the streets by 2030, up from 12 million now.

Starting from 2024, Stellantis will deploy three new tech platforms powered by artificial intelligence named STLA Brain, STLA SmartCockpit, and STLA AutoDrive, respectively. For that, the automaker will extend existing ties with technology giant Foxconn, as well as those with Alphabets Waymo. BMW will also be onboard with this endeavor, specifically for the STLA AutoDrive autonomous driving platform.

According to Stellantiss CEO Carlos Tavares, the software business is expected to generate high margins, like the ones in the tech industry. These high margins are less common in the traditional automotive business. Stellantis plans to generate around $4.5 billion (4 billion euros) in additional annual revenues by 2026 and around $23 billion (20 billion euros) by 2030 from software-enabled product offerings and subscriptions.

Not only the three software platforms will make money for Stellantis, but they will also bring value to customers, through longer service and higher resale values. The services and subscriptions will also be uniquely brand-specific, to further differentiate the companys 14 brands. Stellantis strategy will include over-the-air software updates that will enhance vehicle capabilities. For instance, Dodge owners will be able to receive performance upgrades, while Alfa Romeo vehicles could get a sportier driving experience.

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Stellantis Bets Big on Artificial Intelligence, Wants To Beat Tesla at Its Own Game - autoevolution

CAMBRIDGE, Mass.--(BUSINESS WIRE)--METiS Therapeutics debuts today with $86 million Series A financing to harness artificial intelligence (AI) and machine learning to redefine drug discovery and delivery and develop optimal therapies for patients with serious diseases. PICC PE and China Life led the financing and were joined by Sequoia Capital China, Lightspeed, 5Y Capital, FreeS Fund and CMBI Zhaoxin Wuji Fund. The financing will be used to advance the companys pipeline of novel assets with high therapeutic potential and the continued development of its AI-driven drug discovery and delivery platform.

METiS is well-positioned to change the drug discovery and delivery landscape with the creation of a proprietary predictive AI platform. We leverage machine learning, AI and quantum simulation to uncover novel drug candidates and to transform drug discovery and development, ultimately bringing the best therapies to patients in need, said Chris Lai, CEO, and Founder, METiS Therapeutics. We are fortunate that our world-class roster of investors believes in our vision and todays news represents the first of many significant milestones that we will be accomplishing throughout the next year.

The METiS platform (AiTEM) combines state-of-the-art AI data-driven algorithms, mechanism-driven quantum mechanics and molecular dynamics simulations to calculate Active Pharmaceutical Ingredient (API) properties, elucidate API-target and API-excipient interactions, and predict chemical, physical and pharmacokinetic properties of small molecule and nucleic acid therapeutics in specific microenvironments. This enables efficient lead optimization, candidate selection and formulation design. Founded by a team of MIT researchers, serial entrepreneurs and biotech industry veterans, METiS develops and in-licenses novel assets with high therapeutic potential that could benefit from its data-driven platform.

About METiS TherapeuticsMETiS Therapeutics is a biotechnology company that aims to drive best-in-class therapies in a wide range of disease areas by integrating drug discovery and delivery with AI, machine learning, and quantum simulation. To learn more, visit http://www.metistx.com/.

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METiS Therapeutics Launches With $86 Million Series A Financing to Transform Drug Discovery and Delivery With Machine Learning and Artificial...