From f8288258216c5221efdc0340407a1b34f41d8c2a Mon Sep 17 00:00:00 2001 From: Theo Belaire Date: Tue, 11 Nov 2014 12:20:01 -0500 Subject: [PATCH] Revert "Revert "Added Bloomberg and Google Neural Net talks"" This reverts commit 05c63e0d0946a6475edba0d8ce7dd724f9f07073. --- events.xml | 47 ++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 42 insertions(+), 5 deletions(-) diff --git a/events.xml b/events.xml index 4899c8c..7731771 100644 --- a/events.xml +++ b/events.xml @@ -21,21 +21,58 @@ - + + +

+ In the last few years, there has been breakthrough progress in pattern + recognition -- problems like computer vision and voice recognition. + This sudden progress has come from a powerful class of models called + deep neural networks. +

+ This talk will explore what it means to do pattern recognition, why it + is a hard problem, and why deep neural networks are so effective. We + will also look at exciting and strange recent results, such as state + of the art object recognition in images, neural nets playing video + games, neural nets proving theorems, and neural nets learning to run + python programs!

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The financial world reacts very quickly to news. We will illustrate some examples that demonstrate this phenomenon and the difficulties involved. We will also show some of the machine learning applications at Bloomberg that are useful in this environment. +

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+ From the massive supercomputer, to your laptop, to a Raspberry Pi: all + computing systems run on an operating system powered by a kernel. The kernel is + the most fundamental software running on your computer, enabling developers and + users to interact with its hardware at a higher level. +

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+ This talk will explore the process of writing a minimal kernel from + scratch, common kernel responsibilities, and explore of the challenges of + kernel development.

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