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Justin Gottschlich, Ph.D.
GRASP-PRECISE Special Seminar: The Future of Anomaly Detection
February 1, 2018

Anomaly detection is the process of identifying abnormal events. The proper identification of anomalies can be helpful for almost any domain and is critical in achieving level 4 and 5 autonomy for self-driving cars. However, classical anomaly detection is principally rooted in point-based anomalies, those anomalies that occur at a specific point, which are only a small subset of the more general range-based anomalies that occur in real-world systems.

In this talk, we will discuss necessary advances in anomaly detection to make it relevant in today’s range-based systems. We will…

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Anupam Kaul
PRECISE Seminar: Introduction and Vision around Connected Home, Connected Car and Intelligent B2B Solutions
February 1, 2018

This talk will highlight the purpose of LG’s Silicon Valley Lab, and introduce some of our projects around Robotics, Automotive space, and in some other areas. We will also introduce our new AI Lab, and talk about challenges and potential opportunities in this brave and exciting world for LG.

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Jesse D. Jenkins, Ph.D.c.
PRECISE Seminar: Electricity System Planning with Distributed Energy Resources - New Methods for an Evolving Power System
January 31, 2018

Distributed energy resources (DERs), including distributed generation, storage, and demand response, are expanding and decentralizing options for the provision of electricity services. These novel resources compete with one another as well as conventional generation resources and network assets to provide a limited range of important electricity services. Distributed resources derive much of their comparative advantage from the ability to be located in areas of the electrical grid that maximize the “locational value” delivered by these resources. Locational value…

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Samira Khan, Ph.D.
PRECISE Seminar: Solving the DRAM Scaling Challenge
October 20, 2017

Technology scaling of DRAM cells has enabled higher capacity memory for the last few decades. Unfortunately, DRAM cells become vulnerable to failure as they scale down to a smaller size. Enabling high-performance, energy-efficient, scalable memory systems without sacrificing the reliability is a major research challenge. My work focuses on designing a scalable memory system by rethinking the traditional assumptions in abstraction and separation of responsibilities across system layers. 

In this talk, I will discuss three fundamental ways to enable DRAM scaling. First, we can enable…

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Samantha Kleinberg, Ph.D.
PRECISE Seminar: From Causes to Decisions
October 18, 2017

The collection of massive observational datasets has led to unprecedented opportunities for causal inference, such as using electronic health records to identify risk factors for disease. However, our ability to understand these complex data sets has not grown the same pace as our ability to collect them. Instead causal inference has mainly focused on identifying pairwise relationships between variables. However, when the inference output is a large network of relationships, it can be difficult for non-experts to make sense of, and can lead to ineffective actions. This talk discusses…