Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
Davide Berardi - Linux hardening and security measures against Memory corruptionlinuxlab_conf
The exploding popularity of Embedded/IoT computing facilitate this security problems using low or non-existent security policies and exploits countermeasures. So why not explore some security measures that are widely available in the Linux world? We will focus on memory corruption techniques.
The Linux kernel was always focused on security features and giving bad times to the exploiters. This talk will introduce some common exploits and techniques, showing the mitigations employed by the kernel. By focusing on the major threats that affects modern Linux boxes, we will see which are the main features that can give problems to the system administator and how a preliminary penetration test can be done, ensuring that the system is in a sane state. The talk will also focus on problematics of embedded/IoT Unix systems, showing how some recent attacks gained control over a big network of devices and how a simple embedded system can be analyzed, hunting for bugs. Talk outline: Penetration testing, Linux, netfilter/bpf, memory corruption, ASLR, Spectre/Meltdown.
Introduction to Machine Learning on Apache Spark MLlib by Juliet Hougland, Se...Cloudera, Inc.
Spark MLlib is a library for performing machine learning and associated tasks on massive datasets. With MLlib, fitting a machine-learning model to a billion observations can take only a few lines of code, and leverage hundreds of machines. This talk will demonstrate how to use Spark MLlib to fit an ML model that can predict which customers of a telecommunications company are likely to stop using their service. It will cover the use of Spark's DataFrames API for fast data manipulation, as well as ML Pipelines for making the model development and refinement process easier.
This talk was delivered on FOSDEM PGDay 2016, on 29th of January. It discusses the options to stream consistent snapshot of the data existing in a database prior to creating a logical replication slot.
Building a DSL with GraalVM (VoxxedDays Luxembourg)Maarten Mulders
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
Tiny ML for spark Fun Edge
https://www.ittraining.com.tw/ittraining/it-elearning/el-ai/ai-tensorflow-lite-for-mcu
TensorFlow Lite for MCU正是專為邊緣裝置設計的TensorFlow模型預測框架,是TensorFlow的精簡版本,讓開發者可以在物聯網與嵌入式裝置中部署微型機器學習模型。 本課程將教授AI模型如何佈署於微控制器,包含模型訓練、模型最佳化以及TensorFlow Lite框架的程式開發等。此外,在實作上以Sparkfun edge board (ARM cortex M4)為例,說明如何以TensorFlow Lite 進行微控制器上面的人工智慧開發專案,包含人臉偵測、關鍵字的字詞偵測、姿態識別、異常偵測等。
Davide Berardi - Linux hardening and security measures against Memory corruptionlinuxlab_conf
The exploding popularity of Embedded/IoT computing facilitate this security problems using low or non-existent security policies and exploits countermeasures. So why not explore some security measures that are widely available in the Linux world? We will focus on memory corruption techniques.
The Linux kernel was always focused on security features and giving bad times to the exploiters. This talk will introduce some common exploits and techniques, showing the mitigations employed by the kernel. By focusing on the major threats that affects modern Linux boxes, we will see which are the main features that can give problems to the system administator and how a preliminary penetration test can be done, ensuring that the system is in a sane state. The talk will also focus on problematics of embedded/IoT Unix systems, showing how some recent attacks gained control over a big network of devices and how a simple embedded system can be analyzed, hunting for bugs. Talk outline: Penetration testing, Linux, netfilter/bpf, memory corruption, ASLR, Spectre/Meltdown.
Introduction to Machine Learning on Apache Spark MLlib by Juliet Hougland, Se...Cloudera, Inc.
Spark MLlib is a library for performing machine learning and associated tasks on massive datasets. With MLlib, fitting a machine-learning model to a billion observations can take only a few lines of code, and leverage hundreds of machines. This talk will demonstrate how to use Spark MLlib to fit an ML model that can predict which customers of a telecommunications company are likely to stop using their service. It will cover the use of Spark's DataFrames API for fast data manipulation, as well as ML Pipelines for making the model development and refinement process easier.
This talk was delivered on FOSDEM PGDay 2016, on 29th of January. It discusses the options to stream consistent snapshot of the data existing in a database prior to creating a logical replication slot.
Building a DSL with GraalVM (VoxxedDays Luxembourg)Maarten Mulders
GraalVM is a virtual machine that can run many languages on top of the Java Virtual Machine. It comes with support for JavaScript, Ruby, Python… But what if you're building a DSL, or your language is not listed? Fear not!
In this session we'll discover what it takes to run another language in GraalVM. Using GraalVM, we don't only get a fast runtime, but we'll also get great tool support. With Brainfuck as an example, we'll see how we can run guest languages inside Java applications. It might not bring us profit, but at least it will bring some fun.
Short introductionary slides introducing some of the work done on the Scribo project to extract Named Entities in textual documents with a UIMA engine.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
1. Programming with Linux on the
Playstation3
FOSDEM 2008
olivier.grisel@ensta.org
Architecture overview:
introducing the Cell BE
Installing Linux
SIMD programming in C/C++
Asynchronous data transfer with
the DMA
2. Who am I
Java / Python developer at Nuxeo (FOSS document
management server)
Interested in Artificial Intelligence (and need fast
Support Vector Machines)
Slides to be published at:
http://oliviergrisel.name
5. PS3 Clusters
Cheap cluster for
academic researchers
Carolina State U. and
U. Massachusetts at D.
8+1 cluster with ssh and
MPI
6. PS3 GRID Computing
PS3GRID project
based on BOINC
30,000 atoms simulation
Folding@Home
1 PFLOPS with 800
TFLOPS from PS3s
BlueGene == 280
TFLOPS
7. Linux on the PS3
Lv1 Hypervisor shipped with the default firmware
Partition utility in the Sony Game OS menu
Choose your favorite distro:
Install a powerpc64smp or ps3 kernel
Install gccspu + libspe2
8. Programming the Cell/BE in C
Program the PPE as a chief conductor to spread the
numerical code to SPEs
Use POSIX threads to start SPE subroutines in
parallel
Use SPE intrinsics to perform vector instructions
Eliminate branches as much as possible in SPE code
Align your data to 16 bytes
9. Introduction to SIMD programming
128 bits registers (SSE2, Altivec, SPE)
2 x double
4 x float
4 x int
introduce new vector types
1 vector float operation == 4 float operations
logical (and, or, cmp, ...), arithmetic (+, *, abs, ...),
shuffling
18. Doublebuffering with MFC
1. SPU queues MFC GET to fill buffer #1
2. SPU queues MFC GET to fill buffer #2
3. SPU waits for buffer #1 to finish filling
4. SPU processes buffer #1
5. SPU queues MFC PUT back content of buffer #1
6. SPU queues MFC GETB to refill buffer #1
7. SPU waits for buffer #2 to finish filling
8. SPU processes buffer #2 (...)
19. Some resources
Cell BE Programming Tutorial (ibm.com 190 pages)
IBM developerworks short programming tutorials
Search for articles by Jonathan Barlett
Barcelona Supercomputing Center (software)
http://www.bsc.es/projects/deepcomputing/linuxoncell/
PS3 programming workshops (videos)
http://www.cc.gatech.edu/~bader/CellProgramming.html
#ps3dev on freenode
20. Thanks, credits, licensing
Most schemas from excellent GFDL 'd tutorial by
Geoff Levand (Sony Corp)
http://www.kernel.org/pub/linux/kernel/people/geoff/cell
Pictures and trade marks belong to their respective
owners (Sony, IBM, Universities, Folding@Home,
PS3GRID, ...)
All remaining work is GFDL