Seminars

We are currently witnessing an increasing integration of energy and transportation, which, coupled with human interactions, is giving rise to a new level of complexity in the next generation of transportation systems. Connected and automated vehicles (CAVs) provide the most intriguing and promising opportunity for enabling users to better monitor transportation network conditions and make better operating decisions to reduce energy consumption, greenhouse gas (GHG) emissions, travel delays and improve safety. While several studies have shown the benefits of…

In this talk, Dr. Ken Steif will present 2 public sector machine learning use cases he developed with graduate students this past spring as part of the MUSA Practicum at Penn. He is looking to recruit other data-driven students from across Penn to participate in next year's Practicum. 

Controlled delivery of intravenous (IV) anesthetics aims at fast and safe achievement and maintenance of a suitable depth of hypnosis (DOH), by ensuring appropriate effect site (i.e. brain) exposure to the drug. Today, such drugs are regularly injected by Target Controlled Infusion (TCI) systems, piloted by an open-loop algorithm based on Pharmacokinetic (PK) models. Yet the inaccuracy of concentration prediction of current TCI can reach up to 100%. The situation could be improved by closing the loop with sensors providing regular real measurements of the anesthetic concentration in body…

Blockchain technology, which originated with the bitcoin technology, has created new ways to build trusted distributed systems. In the classical Internet content and information are exchanged, often provided by services running on computing nodes connected to the Internet. Internet has come a long way from being a passive content provider to active services, including Internet of Things (IoT) that brings small devices to play active role in building distributed applications. Blockchain goes a step further where value and trusted applications are built in a decentralized distributed model…

Every industry today is both impacted by and also seeking exploit AI technologies already widely used in the ‘new economy’. Our “Business 4.0” framework guides this ‘digital transformation’ of traditional enterprises by focusing on extreme personalization, developing ecosystems and embracing risk to drive exponential value: Enterprise AI developed with agility and deployed on the cloud form the critical technical enablers for Business 4.0.

In this talk I shall describe in how TCS Research is applying AI in traditional…