Ying Zhang took charge of fun activities during his time at Carnegie Mellon University's Language Technologies Institute. It was the early 2000s, and the institute was new, small and close-knit. Zhang, better known as Joy, became fast friends with his fellow LTI students. Joy organized movie nights and trips skiing, hiking and rafting. He even hosted a party in his tiny apartment to watch the Pittsburgh Steelers win the 2006 Super Bowl.

The higher education sector requires an infusion of revenue – and fast. The average aggregate decline in revenues across 2020 and 2021 is estimated at a dramatic 14%, totaling a whopping $183 billion in lost revenue by the beginning of 2021 [1]. To survive, universities must innovate and leverage a market that has a high demand for education at this time-- the alumni market. Alumni markets are 20x the size of undergraduate markets [2]. If your university is not leveraging its relationship with alumni, it is losing substantial potential revenue.

This transformation is being made possible by a surge in data and computing power that can help machine learning algorithms not only perform device-specific tasks, but also help them gain intelligence or knowledge over time. In the not-so-distant future, artificial intelligence and machine learning tasks will be carried out among connected devices through wireless networks, dramatically enhancing the capabilities of future smartphones, tablets, and sensors, and achieving what's known as distributed intelligence. As technology stands right now, however, machine learning algorithms are not efficient enough to be run over wireless networks and wireless networks are not yet ready to transmit this type of intelligence. With the support of a National Science Foundation Faculty Early Career Development Program (CAREER) grant, Tianyi Chen, an assistant professor of electrical, computer, and systems engineering at Rensselaer Polytechnic Institute and member of the Rensselaer-IBM Artificial Intelligence Research Collaboration (AIRC), is exploring how to make such knowledge-sharing tools a reality. "I think in the future, the main terminal of intelligence will be our phones. Our phones will be able to control our computers, our cars, our meeting rooms, our apartments," Chen said.

When it comes to online learning, it's important for colleges to have courses that can adapt to our technology-driven world. That's why our mission at Amesite is to improve the way the world learns, catering to different types of learners while also giving them classes that are transferable. Our courses use AI to give students and instructors an exceptional online learning experience. But why should you use Amesite? Amesite's system uses established social media formats to help learners access content in a familiar setting.

NEW DELHI: The Indian Institute of Technology (IIT), Bombay, has seen good response to its fund raising initiatives in the current academic year, with Rs26.16 crore contributed by alumni currently residing in the US. Sharad Saraf, chairman, Technocraft Group and Sudarshan Saraf, co-chairman of Technocraft Group, have given Rs15 crore to build a'Technocraft Centre for Applied Artificial Intelligence' at IIT Bombay. The donors believe that the future of technology is with the growth of Artificial Intelligence (AI) and it is necessary to expose students to AI through a dedicated AI Center, according to IIT Bombay. A campaign spearheaded by IIT Bombay Heritage Foundation in the US received good response, the institute said. "This year IIT Bombay alumni in USA have contributed to $3.6 million (Rs26.16 IIT Bombay had initiated annual fund-raising drive, 'Cherish IIT Bombay' for donors all over India and the world. It has been raising funds for various causes for the benefit of its students and faculty. According to IIT Bombay, the campaign that stands out this year is the IT hardware campaign. "As IIT Bombay moved to online classes in response to the pandemic, many of our students couldn't access the online classes as they couldn't afford the investment in IT hardware at their respective homes.

"Girls of Steel Robotics (featured 2014) was founded in 2010 at Carnegie Mellon University's Field Robotics Center as FRC Team 3504. The organization now serves multiple FIRST robotics teams offering STEM opportunities for people of all ages. Since 2019, Girls of Steel also organizes FIRST Ladies, an online community for anyone involved in FIRST robotics programs who supports girls and women in STEM. Their mission statement reflects their commitment to empowering everyone for success in STEM: "Girls of Steel empowers everyone, especially women and girls, to believe they are capable of success in STEM." One is a PhD student in Robotics at CMU, two are working as engineers, and one is a computer science teacher.

We've seen a number of shifts in the higher education landscape over the past few years. The online environment has grown while postsecondary enrollment has fallen. Funding for higher education has decreased. The students that these institutions serve are increasingly diverse. The higher education landscape is changing, forcing leaders to adopt new strategies to meet new needs.

San Diego, Calif., November 14, 2019 -- From companies worth billions of dollars to startups employing a small number of people, UC San Diego engineering alumni are at the core of the robotics ecosystem here in San Diego County. This was clearly evident at the sixth annual robotics forum organized by the UC San Diego Contextual Robotics Institute Nov. 7. The forum focused exclusively on local companies this year and was dubbed the San Diego Robotics Forum for the occasion. The goal was to showcase the breadth and depth of the region's robotics strengths, and solidify San Diego's reputation as Robot Beach. "We have an important mission here to showcase how strong San Diego is in the area of robotics," said Henrik Christensen, director of the UC San Diego Contextual Robotics Institute.

We are so happy to announce that NYC Data Science Academy is yet again, the best data science school on SwitchUp! For the fifth year in a row, NYC Data Science Academy has topped SwitchUp's year-end list with a rating of 4.9/5 and with 265 student and alumni reviews. NYCDSA has been receiving recognition for the'Best Data Science Bootcamp' since 2016. Each year, SwitchUp ranks bootcamps from around the world based on over 15,000 verified student reviews, across over 500 bootcamps in operation, and ratings of curriculum, job support, and overall experience. This year, SwitchUp ranked the best 18 data science bootcamps around the world, based on alumni reviews.