A Place to put some of the talks I hosted.
after hosting so many in varied location over the years,
it would be good to have one place to start record these. Better later than never!
Tom Malzbender, "Capturing and Transforming Surface Reflectance: Imaging the Antikythera Mechanism". Mar-13-2015. details
Arnon Amir, "Developing and Programming a Brain-Inspired Neuromorphic Chip". Feb-20-2015. details
Ram Kakarala, "Comparing humans to automation in rating photographic aesthetics". Feb-06-2015. details.
In 1900, a party of sponge divers chanced on the wreck of a Roman merchant vessel between Crete and mainland Greece.
It was found to contain numerous ancient Greek treasures, among them a mysterious lump of clay that split open to reveal
‘mathematical gears’ as it dried out. This object is now known as the Antikythera Mechanism,
one of the most enlightening artifacts in terms of revealing the advanced nature of ancient
Greek science and technology. In 2005 we traveled to the National Archeological Museum in Athens to apply our reflectance
imaging methods to the mechanism for the purpose of revealing ancient writing on the device.
These methods capture surface appearance and transform reflectance properties to allow subtle surface shape to be seen that is
otherwise difficult to perceive. We were successful, and along with the results of Microfocus CT imaging,
epigraphers were able to decipher 3000 characters compared with the original 800 known.
This led to an understanding that the device was a mechanical, astronomical computer, built around 150 B.C.E. and capable of
predicting solar and lunar eclipses. This talk will overview the reflectance imaging methods as well as what they reveal about
the Antikythera Mechanism.
Tom Malzbender is a researcher who recently completed a 31 year career at Hewlett-Packard Laboratories,
working at the interface of computer graphics, vision, imaging and signal processing.
At HPL he and developed the methods of Fourier Volume Rendering, Polynomial Texture Mapping (PTM) and Reflectance
Transformation, as well as directing the Visual Computing Department.
Tom also developed the capacitive sensing technology that allowed HP to penetrate the consumer graphics tablet market.
His PTM/RTI methods are used by most major museums in North America and Europe and in the fields of criminal forensics,
paleontology and archaeology. He has co-chaired or served on the program comittee of over 30 conferences in computer graphics
and vision. Tom now serves on the board of Cultural Heritage Imaging.
Drawing on lessons from neuroscience, we have developed the TrueNorth chip - an event-driven,
core-based architecture for neurosynaptic computation.
The chip consists of one million integrate-and-fire neurons and 256 million synapses, grouped into 4096
inter-connected neurosynaptic cores.
This fully programmable neuromorphic chip consumes only 65mW of power and delivers high performance of 46 Giga-Synaptic
To program this non Von-Neumann substrate we develop the Corelet Programming paradigm - a hierarchical composition language
and its development environment. The new chip and programming language enable the development and deployment of a
broad range of cognitive applications. The talk will provide an overview of the project and several examples of applications.
Arnon Amir is a research staff member in the Brain-Inspired Computing group at IBM Research - Almaden,
where he develops the corelet programming paradigm. He received his BSc in electrical and computer engineering from the
Ben Gurion University, Israel, in 1989, and his MSc and DSc in computer science from the Technion -
Israel Institute of Technology, in 1992 and 1997, respectively.
Since joining IBM Almaden in 1997 Dr. Amir has co-authored more than 70 technical papers and 20 issued patents in a number of
projects including cognitive computing, eye-gaze tracking,
speech and video retrieval, and the EMMY-awarded Linear Tape File System (LTFS).
The aesthetic appeal of a photograph lies in whatever aspects it has that many people would agree is pleasing and beautiful.
There is now enough data to build statistical models of photographic aesthetics, which in turn has led to algorithms that are
capable of rating aesthetic appeal in a way that can correlate well with human ratings.
However, the field of automated photographic rating is just beginning.
In this talk, I will review the status of automated rating systems,
and propose methodologies for carefully comparing human ratings to those provided by computers.
The talk should take around 30 min.
Ramakrishna Kakarala has worked in both academia and industry, most recently as an Associate Professor at the Nanyang Technological
University (NTU) in Singapore. Prior to joining NTU, he spent 8 years at Agilent Laboratories in Palo Alto, and at
Avago Technologies in San Jose. He received the Ph.D. in Mathematics at UC Irvine, after completing a B.Sc. in
Computer Engineering at the University of Michigan. Two of his students have recently won awards: the BAE Systems award at EI 2012,
and the Best Student Paper award at ICIP 2013. He enjoys photography, though he is lousy at it.