Upcoming Events

Thunderella: Blockchains with Optimistic Instant Confirmation

CS/ECE Lecture Series
Speaker Name
Elaine Shi
Location
D106 LSRC, Duke
Date and Time
-

Classical consensus protocols have been widely deployed by companies such as Google and Facebook to replicate their computing infrastructure--- although traditional deployments are usually in controlled and small-scale environments. The rise of cryptocurrencies has stimulated excitement in large-scale deployments of distributed consensus, e.g., across thousands of nodes and hundreds of (mutually distrustful) organizations. Thus the race is on for the community to create and implement large-scale consensus protocols that are ever more robust and ever more scalable.

Humans, Machines, and Work: The Future is Now

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Moshe Vardi
Location
D106 LSRC, Duke
Date and Time
-

Automation, driven by technological progress, has been increasing inexorably for the past several decades. Two schools of economic thinking have for many years been engaged in a debate about the potential effects of automation on jobs: will new technology spawn mass unemployment, as the robots take jobs away from humans? Or will the jobs robots take over create demand for new human jobs?

From Robots to Biomolecules: Computing meets the Physical World

CS/ECE Lecture Series
Speaker Name
Lydia Kavraki
Location
D106 LSRC, Duke
Date and Time
-

Over the last decade, the development of fast and reliable motion planning algorithms has deeply influenced many domains in robotics, such as industrial automation and autonomous exploration. Motion planning has also contributed to great advances in an array of unlikely fields, including graphics animation and computational structural biology.

Learning about Agents and Mechanisms from Opaque Transactions

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Avrim Blum
Location
D106 LSRC, Duke
Date and Time
-

In this talk I will discuss the problem of trying to learn the requirements and preferences of economic agents by observing the outcomes of an allocation mechanism whose rules you also don’t initially know.   As an example, consider observing web pages where the agents are advertisers and the winners are those whose ads show up on the given page.  We know these ads are placed based on bids and other constraints given to some auction mechanism, but we do not get to see these bids and constraints.

Deep Representations, Adversarial Learning and Domain Adaptation for Some Computer Vision Problems

CS/ECE Lecture Series
Speaker Name
Rama Chellappa
Location
D106 LSRC, Duke
Date and Time
-
Recent developments in deep representation-based methods for many computer vision problems have knocked down many research themes pursued over the last four decades. In this talk, I will discuss methods based on deep representations, adversarial learning and domain adaptation for designing robust computer vision systems with applications in unconstrained face and action verification and recognition, expression recognition, subject clustering and attribute extraction.

TBD

Duke Computer Science Colloquium
Speaker Name
Aude Billard
Location
D106 LSRC, Duke
Date and Time
-

TBD

TBD

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Richard Szeliski
Location
D106 LSRC, Duke
Date and Time
-

TBD

TBD

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Polina Golland
Location
D106 LSRC, Duke
Date and Time
-

TBD

TBD

Duke Computer Science Colloquium
Speaker Name
Samir Khuller
Location
D106 LSRC, Duke
Date and Time
-

TBD

TBD

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Christopher Manning
Location
TBA, Duke (telecast from UNC)
Date and Time
-

TBD

TBD

Triangle Computer Science Distinguished Lecturer Series
Speaker Name
Jeannette Wing
Location
D106 LSRC, Duke (telecast from UNC)
Date and Time
-

TBD

TBD

Duke Computer Science Colloquium
Speaker Name
Prakash Panangaden
Location
D106 LSRC, Duke
Date and Time
-

TBD