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.