[TALK]@Telematika

Talks & Presentations Collection

Your data is being manipulated.
December 27, 2019

Your data is being manipulated.

The more that we rely on data to train our models and inform our systems, the more that this data becomes a target for those seeking to manipulate algorithmic systems and undermine trust in data. danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies.

Backing off toward simplicity: Understanding the limits of deep learning

Backing off toward simplicity: Understanding the limits of deep learning

December 26, 2019

Deep learning is used broadly at the forefront of research, achieving state-of-the-art results across a variety of domains. However, that doesn't mean it's a fit for all tasksespecially when the constraints of production are considered. Stephen Merity investigates what tasks deep learning excels at, what tasks trigger a failure mode, and where current research is looking to remedy the situation.
Build smart applications with your new super power: Cloud AI (sponsored by Google Cloud)

Build smart applications with your new super power: Cloud AI (sponsored by Google Cloud)

December 26, 2019

Google has invested deeply in machine learning for many years and is using it successfully across its highly successful consumer businesses. Philippe Poutonnet explains how to leverage the power of ML with Google Cloud, using the platform's powerful data management tools, support for collaborative experiments, and predictions at Google scale.
Cloud + Edge, an Approach Using Kubernetes

Cloud + Edge, an Approach Using Kubernetes

December 26, 2019

With IoT and mobile devices, more and more data are being created at the edge of the network, quite a lot of them should be processed at the edge instead of sending over the network to a central cloud …
Deep learning in the enterprise: Opportunities and challenges

Deep learning in the enterprise: Opportunities and challenges

December 26, 2019

Tools, frameworks, access to high-value data, and practical approaches to deployment and integration with existing systems and applications are just some of the considerations facing companies adopting deep learning. Ron Bodkin explores tools, open source technology, frameworks, and strategies to cost-effectively achieve strategic results with deep learning in the enterprise.
Deep learning to fight cancer: Fireside chat

Deep learning to fight cancer: Fireside chat

December 26, 2019

Abu Qaders personal experience is a testament to the increasing impact and accessibility of AI technology. As a high school student, he taught himself machine learning using open online resources and launched an AI company for breast cancer diagnostics. Peter Norvig sits down with Abu to share anecdotes, discuss the state of artificial intelligence, and explore where things are heading.
Deep reinforcement learning in the enterprise: Bridging the gap from games to industry

Deep reinforcement learning in the enterprise: Bridging the gap from games to industry

December 26, 2019

Mark Hammond explores how enterprises can move beyond games and leverage deep reinforcement learning and simulation-based training to build programmable, adaptive, and trusted AI models for their real-world applications.
Engineering the future of AI for businesses (sponsored by IBM Watson)

Engineering the future of AI for businesses (sponsored by IBM Watson)

December 26, 2019

Ruchir Puri explores the opportunities and challenges of AI for business, focusing on what is needed to truly scale out AI applications and systems across the breadth of enterprises.
Ensuring smarter-than-human intelligence has a positive outcome.

Ensuring smarter-than-human intelligence has a positive outcome.

December 26, 2019

The field of artificial intelligence has made major strides in recent years, but there is a growing movement to consider the implications of machines that can rival humans in general problem-solving abilities. Nate Soares outlines the underresearched fundamental technical obstacles to building AI that can reliably learn to be "aligned" with human values.
Enterprise Grade Security and Compliance Using Apache Atlas and Apache Ranger

Enterprise Grade Security and Compliance Using Apache Atlas and Apache Ranger

December 26, 2019

With an ever increasing need to secure and limit access to sensitive data, enterprises today need an open source solution. Apache Atlas - which is the metadata and governance framework for Hadoop join …
How I Survived to a SoC with a Terrible Linux BSP

How I Survived to a SoC with a Terrible Linux BSP

December 26, 2019

System-on-Chip vendors typically provide a board support package (BSP) which should be a good starting point to develop the software for an embedded Linux system. However they often seem to misunderst …
How Not to be a Good Linux Kernel Maintainer

How Not to be a Good Linux Kernel Maintainer

December 26, 2019

Linux Kernel maintainers play an important role in the Linux Kernel ecosystem and are crucial for its success. With a constant growth of the number of Linux Kernel developers there is also a growing r …
Intro to Ceph, the Distributed Storage System

Intro to Ceph, the Distributed Storage System

December 26, 2019

Ceph is an open source distributed object store, network block device, and file system designed for reliability, performance, and scalability. With an advanced placement algorithm, active storage node …
Kubernetes with Mixed Linux and Windows Deployments

Kubernetes with Mixed Linux and Windows Deployments

December 26, 2019

Windows Server 2016 introduced support for Docker containers, so the next logical step was to have Kubernetes running on Windows! The #sig-windows team did a great job in overcoming portability and o …
Panel Discussion: If APIs are like Snowflakes, How Do You Make them More "Standardized" - or Do You? - Moderated by Jeff Borek, IBM

Panel Discussion: If APIs are like Snowflakes, How Do You Make them More "Standardized" - or Do You? - Moderated by Jeff Borek, IBM

December 26, 2019

APIs form the connecting glue between modern applications and are used to connect third-party data services, public/private data sources, and other applications. The Open API Initiative (OAI) came tog …
Pipeline as Code For Your Infrastructure as Code

Pipeline as Code For Your Infrastructure as Code

December 26, 2019

Infrastructure as Code has been a native open source innovation happening over the past decade, with languages such as Puppet and Chef growing fast ops folks have been adopting development practices t …
Protecting Your System from the Scum of the Universe - Gilad Ben-Yossef, Arm Holdings

Protecting Your System from the Scum of the Universe - Gilad Ben-Yossef, Arm Holdings

December 26, 2019

Linux based systems have a plethora of security related mechanisms: DM-Crypt, DM-Verity, Secure Boot, the new TEE sub-system, FScrypt and IMA are just a few examples. This talk will describe these the …
Selecting the Right Persistent Storage Option for Apps in Containers

Selecting the Right Persistent Storage Option for Apps in Containers

December 26, 2019

No matter where an application is running, it will most likely need some form of storage. When running application in container environment, persistent storage is needed. There are plenty of storage p …
Serverless - Is It For Your Organization?

Serverless - Is It For Your Organization?

December 26, 2019

This talk will examine the Serverless phenomenon, popularized by AWS Lambda but now proposed by many public cloud providers such as Google and Microsoft. Well look at what Serverless is, what advant …
The Rise of Open Source in the Manufacturing Industry

The Rise of Open Source in the Manufacturing Industry

December 26, 2019

In the past 20 years, software has become increasingly important for industrial manufacturers. This trend is expected to continue in the future. At the same time, the share of open source technologies …
Tutorial: An Introduction to Stateful Applications on #K8s

Tutorial: An Introduction to Stateful Applications on #K8s

December 26, 2019

Steve and Kenny will address how Kubernetes storage works in the context of supporting stateful applications. The talk will cover how Kubernetes storage is implemented now, and what's next for storage …
Containerized Full-Stack Rust for IoT

Containerized Full-Stack Rust for IoT

December 25, 2019

Rust's ability to work on many different platforms across the full stack is great, but how easy is it to use our favorite language from data collection to storage? Can a compiled Rust application work …
Evolving neural networks through neuroevolution

Evolving neural networks through neuroevolution

December 25, 2019

Kenneth Stanley offers an overview of the field of neuroevolution, an emerging paradigm for training neural networks through evolutionary principles that has grown up alongside more conventional deep learning, highlighting major algorithms such as NEAT, HyperNEAT, and novelty search, the field's emerging synergies with deep learning, and promising application areas.
Fireside chat with Naveen Rao and Steve Jurvetson

Fireside chat with Naveen Rao and Steve Jurvetson

December 25, 2019

Join Naveen Rao and Steve Jurvetson for a fireside chat.
How to escape saddle points efficiently

How to escape saddle points efficiently

December 25, 2019

Many new theoretical challenges have arisen in the area of gradient-based optimization for large-scale data analysis, driven by the needs of applications and the opportunities provided by new hardware and software platforms. Michael Jordan shares recent research on the avoidance of saddle points in high-dimensional nonconvex optimization.
Intel Nervana Graph: A universal deep learning compiler

Intel Nervana Graph: A universal deep learning compiler

December 25, 2019

With the chaotic and rapidly evolving landscape around deep learning, we need deep learning-specific compilers to enable maximum performance in a wide variety of use cases on a wide variety of hardware platforms. Jason Knight offers an overview of the Intel Nervana Graph project, which was designed to solve this problem.
Introduction to reinforcement learning

Introduction to reinforcement learning

December 25, 2019

Marcos Campos offers an overview of reinforcement learning, walking you through the various classes of reinforcement learning algorithms, the types of problems that can be solved with this technique, and how to build and train AI models using reinforcement learning and reward functions.
Jmake: Dependable Compilation for Kernel Janitors

Jmake: Dependable Compilation for Kernel Janitors

December 25, 2019

The Linux kernel is the canonical example of highly configurable infrastructure software. In principle, any line of code can be included or excluded from the compiled kernel based on complex configura …