Python Data Plotting and Visualisation Extravaganza
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This document is a presentation on Python data plotting and visualization tools. It outlines 2D and 3D plotting tools for Python, including Gnuplot, matplotlib, Mayavi, Visual Python, and the Mayavi "visual" module. The presentation was given by Guy K. Kloss at the first ever Kiwi PyCon in Christchurch, New Zealand on November 7, 2009.
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The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment.
In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.
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“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...
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Wil Florentino, Senior Segment Marketing Manager at Micron, presents the “Addressing Evolving AI Model Challenges Through Memory and Storage” tutorial at the May 2025 Embedded Vision Summit.
In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight on memory performance and data storage capacity as key bottlenecks. Enabling the full potential of AI in industries such as manufacturing, automotive, robotics and transportation will require us to find efficient ways to deploy this new generation of complex models.
In this presentation, Florentino explores how memory and storage are responding to this need and solving complex issues in the AI market. He examines the storage capacity and memory bandwidth requirements of edge AI use cases ranging from tiny devices with severe cost and power constraints to edge servers, and he explains how new memory technologies such as LPDDR5, LPCAMM2 and multi-port SSDs are helping system developers to meet these challenges.
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Reducing Conflicts and Increasing Safety Along the Cycling Networks of East-F...
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No-Code Workflows for CAD & 3D Data: Scaling AI-Driven Infrastructure
No-Code Workflows for CAD & 3D Data: Scaling AI-Driven InfrastructureSafe Software When projects depend on fast, reliable spatial data, every minute counts.
AI Clearing needed a faster way to handle complex spatial data from drone surveys, CAD designs and 3D project models across construction sites. With FME Form, they built no-code workflows to clean, convert, integrate, and validate dozens of data formats – cutting analysis time from 5 hours to just 30 minutes.
Join us, our partner Globema, and customer AI Clearing to see how they:
-Automate processing of 2D, 3D, drone, spatial, and non-spatial data
-Analyze construction progress 10x faster and with fewer errors
-Handle diverse formats like DWG, KML, SHP, and PDF with ease
-Scale their workflows for international projects in solar, roads, and pipelines
If you work with complex data, join us to learn how to optimize your own processes and transform your results with FME.
OpenACC and Open Hackathons Monthly Highlights June 2025
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Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...
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June 11, 2025
Shinya Kato
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June Patch Tuesday
June Patch TuesdayIvanti Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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War_And_Cyber_3_Years_Of_Struggle_And_Lessons_For_Global_Security.pdfbiswajitbanerjee38 Russia is one of the most aggressive nations when it comes to state coordinated cyberattacks — and Ukraine has been at the center of their crosshairs for 3 years. This report, provided the State Service of Special Communications and Information Protection of Ukraine contains an incredible amount of cybersecurity insights, showcasing the coordinated aggressive cyberwarfare campaigns of Russia against Ukraine.
It brings to the forefront that understanding your adversary, especially an aggressive nation state, is important for cyber defense. Knowing their motivations, capabilities, and tactics becomes an advantage when allocating resources for maximum impact.
Intelligence shows Russia is on a cyber rampage, leveraging FSB, SVR, and GRU resources to professionally target Ukraine’s critical infrastructures, military, and international diplomacy support efforts.
The number of total incidents against Ukraine, originating from Russia, has steadily increased from 1350 in 2021 to 4315 in 2024, but the number of actual critical incidents has been managed down from a high of 1048 in 2022 to a mere 59 in 2024 — showcasing how the rapid detection and response to cyberattacks has been impacted by Ukraine’s improved cyber resilience.
Even against a much larger adversary, Ukraine is showcasing outstanding cybersecurity, enabled by strong strategies and sound tactics. There are lessons to learn for any enterprise that could potentially be targeted by aggressive nation states.
Definitely worth the read!
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“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...
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“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...
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Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...
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Python Data Plotting and Visualisation Extravaganza
- 1. 2D Tools 3D Tools Python Data Plotting and Visualisation Extravaganza Guy K. Kloss Computer Science Massey University, Albany (first ever) Kiwi PyCon Christchurch 7 November 2009 Guy K. Kloss | Python Live Plotting 1/17
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- 8. 2D Tools 3D Tools Mayavi most excellent 3D plotting tool developed/sponsored by Enthought plays well with many GUI tool kits (embeddable) default (wx) GUI slow, Qt4 backend much faster Guy K. Kloss | Python Live Plotting 8/17
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