Tel Aviv University

Overview

FOUNDED
1956
DESCRIPTION

Tel Aviv University believes in pursuing the next big idea, the next challenge, the next mystery that will advance human knowledge and improve all of our lives.

TAU is the largest and most multidisciplinary university in Israel, comprised of nine faculties, 106 departments, and 90 research institutes. It’s been consistently ranked as the #1 institution outside the United States in producing graduates who successfully raise venture capital for their start-up companies. We encourage our students to dream big and follow their passions.

AI Labs

Laboratory for AI Machine Learning & Business Data Analytics (LAMBDA)
The Laboratory for AI, Machine Learning, Business & Data Analytics (LAMBDA) at Tel-Aviv University focuses on research, development and collaboration activities in the areas of artificial intelligence, big data analytics and data science, with a strong emphasis on real-life industrial challenges. The main goal of the lab is to bridge the gap between academia and industry while relying on advanced research methods to develop cutting-edge data science tools and applications. It aims to serve as a hub of collaboration, enabling scholars and students to work collaboratively on practical data-science challenges, while exposing the industry to pioneering research methods and to the next generation of analytics tools. Accordingly, LAMBDA’s efforts are focused on large-scale collaborative research projects with a unique synergy among groups of academic researchers, developers, educators, industry-domain experts, practitioners and decision makers. The LAMBDA team is a multidisciplinary group of researchers who specialize in relevant areas of AI and data science and provide a unique blend of expertise. Each member of the team has a solid academic background coupled with practical hands-on experience in various industries, such as manufacturing, cyber security, transportation, telecommunication, internet, retail, finance, semi-conductor, energy and healthcare. The lab’s research relies on diverse methods, including supervised and unsupervised machine learning, structured/unstructured data extraction and analysis, text and graph mining algorithms, information theory applications, statistical process control and deep-learning to name a few. The lab offers a wide variety of activities including multidisciplinary research projects, collaborative development initiatives, conferences, workshops, and dedicated Hackathon events in cooperation with industry and academic partners. LAMBDA Laboratory​
Curiosity Lab
By implementing state-of-the-art machine learning algorithms, we build models of curiosity. With these models, we try to understand and promote human curiosity-driven behavior. We implement the same models on robots and watch them interact and learn about themselves, their environment and other agents. Our interdisciplinary research integrates computer science, developmental and cognitive psychology, and robotics. We study, implement, expand and integrate supervised, unsupervised and reinforcement learning algorithms. We investigate infant, chidren and adult curiosity-driven behavior when interacting with novel information and technology and try to promote curiosity-driven behavior. We use various commercial robots, such as Lego Mindstorm, NAO and Baxter, to create curious agents that constantly, optimally and actively learn about their environment.

University Associated Startups

University Associated Investors