Higher Education

Why AI is everywhere except your company


Not a day goes by without reports of a new achievement, investment or national plan powered by artificial intelligence. AI is embedded in many of the apps and the software we use, and it is making functions such as voice interaction a reality. Yet the adoption of AI itself is largely absent from most of the organisations with which we directly interact or work. While applications that were just a dream only a few years ago are now widespread, their development is still restricted to a handful of savvy companies. For instance, Meta (formerly Facebook) is building the world's largest supercomputer.

Top 10 AI graduate degree programs


Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. U.S. News & World Report ranks the best AI graduate programs at computer science schools based on surveys sent to academic officials in fall 2021 and early 2022. Here are the top 10 programs that made the list as having the best AI graduate programs in the US.

Research Assistant (Bigdata, Machine Learning, and IoT) – Times Higher Education


Research Assistant (Bigdata, Machine Learning, and IoT) in Computer Science, Research Related with UNITED ARAB EMIRATES UNIVERSITY. Apply Today.

Using machine learning to improve student success in higher education


Many higher-education institutions are now using data and analytics as an integral part of their processes. Whether the goal is to identify and better support pain points in the student journey, more efficiently allocate resources, or improve student and faculty experience, institutions are seeing the benefits of data-backed solutions. This article is a collaborative effort by Claudio Brasca, Nikhil Kaithwal, Charag Krishnan, Monatrice Lam, Jonathan Law, and Varun Marya, representing views from McKinsey's Public & Social Sector Practice. Those at the forefront of this trend are focusing on harnessing analytics to increase program personalization and flexibility, as well as to improve retention by identifying students at risk of dropping out and reaching out proactively with tailored interventions. Indeed, data science and machine learning may unlock significant value for universities by ensuring resources are targeted toward the highest-impact opportunities to improve access for more students, as well as student engagement and satisfaction.

Upgrade your job: 5 ways to get that career boost


Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. If you have a tech job -- or want one -- the market is strong. And as a job-seeker or potential job-switcher, you have an advantage. The pandemic made remote work mainstream.

Artificial intelligence can identify students at risk of failing and provide tools for success


Artificial intelligence offers new opportunities to improve university education. This is demonstrated by the Learning Intelligent System (LIS) project, which has been developed by researchers at the Universitat Oberta de Catalunya (UOC) with backing from the eLearning Innovation Center. The system was created by a transdisciplinary research team at the UOC and has already produced excellent results over the past year. It shows how an automatic system can be used to help students who are at risk of failing or dropping out to improve their academic performance. In 2021, a team from the UOC's Faculty of Computer Science, Multimedia and Telecommunications published a study in the International Journal of Educational Technology in Higher Education (ETHE) on the ability of LIS to successfully identify students at risk of failing a course.

Rosetta Stone adds Ojibwe to language preservation initiative


Nate writes about the intersection of education and technology. He's also worked as a newspaper staff writer covering K-12 and higher education, business, local government, and public safety. The Ojibwe, or Anishinaabe, people have faced enemies familiar to Indigenous people worldwide: Colonialism and imperialism. In North America, these forces arrived in the form of westward European expansion. As the nations of America and Canada grew, generations of settlers forced Indigenous peoples from their land.

ACM's 2022 General Election

Communications of the ACM

The ACM constitution provides that our Association hold a general election in the even-numbered years for the positions of President, Vice President, Secretary/Treasurer, and Members-at-Large. Biographical information and statements of the candidates appear on the following pages (candidates' names appear in random order). In addition to the election of ACM's officers--President, Vice President, Secretary/Treasurer--two Members-at-Large will be elected to serve on ACM Council. The 2022 candidates for ACM President, Yannis Ioannidis and Joseph A. Konstan, are working together to solicit and answer questions from the computing community! Please refer to the instructions posted at Please note the election email will be addressed from Please return your ballot in the enclosed envelope, which must be signed by you on the outside in the space provided. The signed ballot envelope may be inserted into a separate envelope for mailing if you prefer this method. All ballots must be received by no later than 16:00 UTC on 23 May 2022. Validation by the Elections Committee will take place at 14:00 UTC on 25 May 2022. Yannis Ioannidis is Professor of Informatics & Telecom at the U. of Athens, Greece (since 1997). Prior to that, he was a professor of Computer Sciences at the U. of Wisconsin-Madison (1986-1997).

Researchers Work to Make Artificial Intelligence Genuinely Fair


Out of 11 proposals that were accepted this year by the NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon, two are led by UMD faculty. The program's goals are to increase accountability and transparency in AI algorithms and make them more accessible so that the benefits of AI are available to everyone. This includes machine learning algorithms--a subset of AI in which computerized systems are "trained" on large datasets to allow them to make proper decisions. Machine learning is used by some colleges around the country to rank applications for admittance to graduate school or allocate resources for faculty mentoring, teaching assistantships or coveted graduate fellowships. "As these AI-based systems are increasingly used in higher education, we want to make sure they render representations that are accurate and fair, which will require developing models that are free of both human and machine biases," said Furong Huang, an assistant professor of computer science who is leading one of the UMD teams.

Crime and punishment: In South Africa, crime rises like inflation with 93 per cent of Blacks steeped in poverty – Tell


Vumacam, an international technology company, is now building out more applications on Proof 360 for the South African market, including a system to detect license plate cloning – when two cars show up in different locations with identical plate numbers. It's also opening up the platform for third-party developers to add their own applications and distribute them to its users. Later this year, Ricky Croock Chief Executive Officer at Vumacam Johannesburg Metropolitan Area118, says that the company will switch to a new model, where customers will pay a flat fee to get access to the full network of cameras instead of just a selection. Agencies will still be able to filter the alerts to their jurisdiction, but they will also be able to view any feed in the country. The new approach will allow Vumacam to place poles and cameras irrespective of whether there are paying customers nearby.