ASX-Dividend-Report-Banner

Squirrel Ai Speaks at Harvard + MIT Joint Symposium on the Future of AI-based Adaptive Learning

March 12, 2024 07:43 PM AEDT | By Cision
 Squirrel Ai Speaks at Harvard + MIT Joint Symposium on the Future of AI-based Adaptive Learning
Image source: Kalkine Media

CAMBRIDGE, Mass., March 12, 2024 /PRNewswire/ -- The Generative Artificial Intelligence in Education Symposium was recently held at the campuses of Harvard University and the Massachusetts Institute of Technology (MIT), two of the world's foremost academic institutions. The symposium brought together distinguished professors, prominent academicians, and entrepreneurship pioneers from prestigious universities, among them, Harvard, MIT, and Cornell. The goal was to discuss the transformative role and evolving trends of generative AI in education and academic research. Dr. Joleen Liang, co-founder of Squirrel Ai Learning, delivered a speech at the event, highlighting the disruptive impact of Squirrel Ai's Large Adaptive Model (LAM) on personalized education.

Squirrel Ai co-founder Dr. Joleen Liang delivers a speech
Squirrel Ai co-founder Dr. Joleen Liang delivers a speech

During the two-day symposium, participants discussed how AI can revolutionize teaching methods and reshape the education landscape. Squirrel Ai garnered significant attention for its cutting-edge technology and groundbreaking achievements. As a pioneer and industry leader in promoting AI in education, Squirrel Ai has been developing its technology for over 9 years. At the symposium, Dr. Joleen Liang showcased the latest technological breakthrough - the world's first all-subject Large Adaptive Model (LAM). This remarkable innovation seamlessly integrates adaptive technology with Large Model, leveraging the unique learning behaviors of 24 million students, totaling 10 billion learning behaviour data, to feed and fine-tune the model. Thanks to this extensive dataset, Squirrel Ai is able to accurately represent students' learning profiles and capture the intricate relationships between knowledge points, topics, and students' learning abilities. This enables the company to provide students with more precise and personalized learning solutions tailored to their unique needs and abilities.

Compared to conventional LLMs that rely on public data, Squirrel Ai's innovative LAM features a unique knowledge graph alongside an MCM (Mode of Thinking, Capability and Methodology) graph. This allows the model to tap into the individuality, strengths, and potential benefits unique to every student. During her presentation, Dr. Liang demonstrated the remarkable achievements of Squirrel Ai's personalized education approach through real-world student case studies. She shared her vision for expanding educational resources and ensuring their equitable distribution. Her aspiration is for this technological advancement to reach more children from low-income families, injecting more possibilities and hope into their futures.

As the sole Chinese education technology company invited to this seminar, Squirrel Ai showcased its core strengths in the global AI education industry and its positive impact on driving educational change and innovation. Looking ahead, Squirrel Ai plans to further expand its collaboration with domestic and international technology, education, and academic communities to shape the future of AI integration and personalized education. Additionally, the company will continue to focus on technological innovation and product development to offer students worldwide high-quality and efficient learning experiences and services.


Disclaimer

The content, including but not limited to any articles, news, quotes, information, data, text, reports, ratings, opinions, images, photos, graphics, graphs, charts, animations and video (Content) is a service of Kalkine Media Pty Ltd (“Kalkine Media, we or us”), ACN 629 651 672 and is available for personal and non-commercial use only. The principal purpose of the Content is to educate and inform. The Content does not contain or imply any recommendation or opinion intended to influence your financial decisions and must not be relied upon by you as such. Some of the Content on this website may be sponsored/non-sponsored, as applicable, but is NOT a solicitation or recommendation to buy, sell or hold the stocks of the company(s) or engage in any investment activity under discussion. Kalkine Media is neither licensed nor qualified to provide investment advice through this platform. Users should make their own enquiries about any investments and Kalkine Media strongly suggests the users to seek advice from a financial adviser, stockbroker or other professional (including taxation and legal advice), as necessary.
The content published on Kalkine Media also includes feeds sourced from third-party providers. Kalkine does not assert any ownership rights over the content provided by these third-party sources. The inclusion of such feeds on the Website is for informational purposes only. Kalkine does not guarantee the accuracy, completeness, or reliability of the content obtained from third-party feeds. Furthermore, Kalkine Media shall not be held liable for any errors, omissions, or inaccuracies in the content obtained from third-party feeds, nor for any damages or losses arising from the use of such content.
Kalkine Media hereby disclaims any and all the liabilities to any user for any direct, indirect, implied, punitive, special, incidental or other consequential damages arising from any use of the Content on this website, which is provided without warranties. The views expressed in the Content by the guests, if any, are their own and do not necessarily represent the views or opinions of Kalkine Media. Some of the images/music that may be used on this website are copyrighted to their respective owner(s). Kalkine Media does not claim ownership of any of the pictures displayed/music used on this website unless stated otherwise. The images/music that may be used on this website are taken from various sources on the internet, including paid subscriptions or are believed to be in public domain. We have made reasonable efforts to accredit the source wherever it was indicated as or found to be necessary.

This disclaimer is subject to change without notice. Users are advised to review this disclaimer periodically for any updates or modifications.

AU_advertise

Advertise your brand on Kalkine Media

Sponsored Articles


Investing Ideas

Previous Next
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.