Research Institutes

https://www.uni-saarland.de/universitaet/aktuell/veranstaltungen/artikel/nr/24359.html

Abstract:
Traditionally, AI and Machine Learning communities have considered knowledge from the perspective of discrete vs continuous representations, knowledge bases (KBs) vs dense vectors or logic vs algebra. While these are important dichotomies, in this talk I will argue that we should put more focus on another: parametric vs non-parametric modelling. Roughly, in the former a fixed set of parameters is used, in the latter parameters grow with data. I will explain recent advances in knowledge intensive NLP from this perspective, show the benefit of hybrid approaches, and discuss KBs as non-parametric approaches with relatively crude assumptions about what future information needs will be. By replacing these assumptions with a learnt model, we show that such “modern KBs” are a very attractive alternative or complement to current approaches.

Speaker's Bio:
Sebastian Riedel is a researcher at Facebook AI research, professor in Natural Language Processing and Machine Learning at the University College London (UCL) and an Allen Distinguished Investigator. He works in the intersection of Natural Language Processing and Machine Learning, and focuses on teaching machines how to read and reason. He was educated in Hamburg-Harburg (Dipl. Ing) and Edinburgh (MSc., PhD), and worked at the University of Massachusetts Amherst and Tokyo University before joining UCL.

via zoom:
https://zoom.us/j/95312747069?pwd=TXkwMWJUYTBZaTJ1aUFCdk1td3NCQT09
Meeting ID: 953 1274 7069
Passcode: 882447

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https://stadtbibliothek.saarbruecken.de/veranstaltungen/veranstaltungen/veranstaltungs_detailseite/event-5cf7992ba10f3/date-446323

Join Zoom Meeting
https://zoom.us/j/99457028566?pwd=bGllck5vS05iYnhtMGVCUzFGS1JqUT09

Meeting ID: 994 5702 8566
Passcode: 780865

Abstract:

Storage technologies are entering the market with performance vastly superior to conventional storage devices. This technology shift requires a complete rethinking of the software storage stack.

In this talk I will give two examples of our work with Optane-based solid-state (block) devices that illustrate the need for and the benefit of a wholesale redesign.

First, I will describe the Kvell key-value (KV) store. The key observation underlying Kvell is that conventional KV software on fast devices is bottlenecked by the CPU rather than by the device. Kvell therefore focuses on minimizing CPU intervention.

Second, I will describe the Kvell+ OLTP/OLAP system built on top of Kvell. The key underlying observation here is that these storage devices have become so fast that the conventional implementation of snapshot isolation – maintaining multiple versions – quickly leads to the device filling up. Kvell therefore focuses processes new versions as they are created.

This talk describes joint work with Oana Balmau (McGill University), Karan Gupta (Nutanix) and Baptiste Lepers (University of Sydney).

Bio:

Willy Zwaenepoel received his BS/MS from Ghent University in 1979, and his MS and PhD from Stanford University, in 1980 and 1984, respectively. He is currently dean of engineering at the University of Sydney. Previously, he has been on the faculty at Rice University and head of the school of computer and communication sciences at EPFL. He has been involved with a number of startups including Nutanix (Nasdaq:NTNX). He was elected IEEE Fellow in 1998 and ACM Fellow in 2000 and received a number of awards for teaching and research, including the Eurosys Lifetime Achievement Award. His main interests are in operating systems and distributed systems.