This blog post is just a table of contents I’ve created to help you efficiently navigate through various announcements related to byteLAKE’s Cognitive Services.

Cognitive Services is our AI-powered product (Artificial Intelligence), dedicated to Industry 4.0 automation.

It primarily enables 2 things:

  • AI-assisted visual inspection (product quality, process monitoring),
  • Big Data analytics.

I will be explaining these in more detail in the upcoming blog posts. Consequently, I will keep this post up to date.

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byteLAKE’s Cognitive Services — AI for Industry 4.0

Table of Contents

  1. Machine Vision, how AI brings value to industries
  2. Cognitive Automation helps where RPAs fall short
  3. AI for Manufacturing: Edge AI, Federated Learning, Computer Vision (webinar)
    Related presentation on SlideShare
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This blog post is just a table of contents I’ve created to help you efficiently navigate through various announcements related to one of the most exciting projects (we call it a moonshot project) we’re currently running at byteLAKE.

It’s called CFD Suite and it’s about delivering a collection of innovative AI Models for Computational Fluid Dynamics (CFD). Yes, FEA in the title is not a mistake. Finite Element Analysis is gradually landing on the roadmap as well.

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www.byteLAKE.com/en/CFDSuite

Table of Contents

  1. First announcement, our very first post on LinkedIn where we announced the course of the CFD Suite project. Unlike in the past, our strategy is to leverage Artificial Intelligence (AI) rather than any other ways to accelerate and enable new possibilities for engineering simulations. …


Produkcja papieru jest procesem wieloetapowym. Jak podaje Wikipedia, nowoczesna produkcja papieru rozpoczęła się w Europie na początku XIX wieku wraz z rozwojem maszyny Fourdrinier (znanej również jako maszyna papiernicza). Urządzenie takie wytwarza ciągłą rolkę papieru. Jak dalej opisuje Wikipedia, nowoczesna papiernia (= fabryka papieru) jest podzielona na kilka sekcji […]. Miazga jest rafinowana i mieszana w wodzie z innymi dodatkami w celu uzyskania zawiesiny (pulpy). Skrzynia wlewowa maszyny papierniczej (Headbox) rozprowadza zawiesinę na ruchomym ciągłym sicie, woda spływa z zawiesiny (grawitacyjnie lub pod próżnią), mokry arkusz papieru przechodzi przez prasy i wysycha (Forming Fabric), a na koniec zwijany jest w duże rolki.


Paper production is a multi-phase process. As per Wikipedia, modern papermaking began in the early 19th century in Europe with the development of the Fourdrinier machine (aka paper machine). This machine produces a continuous roll of paper. As it is further described on Wikipedia, a modern paper mill (=factory making paper) is divided into several sections […]. Pulp is refined and mixed in water with other additives to make a pulp slurry. The head-box of the paper machine distributes the slurry onto a moving continuous screen, water drains from the slurry (by gravity or under vacuum), the wet paper sheet goes through presses and dries, and finally rolls into large rolls. …


Artificial Intelligence (AI) in manufacturing is very likely to be valued at almost USD 16 billion by 2026 (compared to roughly around USD 1 billion being expected in 2020). This is driven by the same factors that push forward the adoption of machine learning and deep learning techniques across industries. These are namely, new algorithms design, specialized hardware and cloud services becoming available, so-called data explosion (Big Data) enabling quality AI training, both open-source and proprietary software libraries development, growing investments, number of applications and an increased demand. In the case of Industry 4.0, however, AI adoption is further driven by a growing importance of general automation, robots and in many cases closely related industrial Internet of Things (IoT) deployments like sensors measuring production parameters, cameras taking snapshots along production lines etc. …


This is my personal translation of the article that was originally published at https://www.wroclaw.pl/biznes/rewolucja-w-fabrykach-przemysl-40-made-in-wroclaw-2020. I decided to do so as its publication coincided with byteLAKE’s plans to wrap up some of our Artificial Intelligence software services and tools into products dedicated to manufacturing or generally speaking Industry 4.0 automation enablement if you like. Also, let me use this opportunity to invite you to the upcoming conference: Made in Wroclaw which this time is going to be online and the admission is completely free (October 20–22, 2020). And of course it will be a great opportunity to learn more about AI-powered solutions from byteLAKE. Reach out to us (welcome@byteLAKE.com) …


As I wrote in my previous post here, during the third weekend of September 2020 we organized the first event for drones’ operators. The goal was to take as many as possible aerial photos so that Ewa Guard could analyze them and locate illegally dumped tires.

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Ewa Guard locates illegal dumping areas

The response was much better than expected! Tens of drones’ operators across Poland joined the initiative and literally within the first hours generated hundreds of gigabytes of data and lots of images. THANK YOU!

Out of sheer curiosity, we of course briefly looked at the pictures and sadly said: “there are no tires!”. UPDATE 2020–09–24: then we asked volunteers to help us analyze the pictures manually. Very high resolution of images in high amounts got the teams very tired quickly. Needless to say that after all there was nothing exciting in browsing through images just to find maybe some that accidentally included small tires. …


We have just completed the first pilot action in which artificial intelligence helped clean up the world. As part of this year’s international clean-up the world campaign, an annual event taking place around the world during the third weekend of September, byteLAKE , Lenovo and the Resq Foundation have supported the initiative with their technological building blocks. Ewa Guard supported the initiative throughout the weekend. I can summarize the event with these words: an explosion of positive energy, drones and hundreds of gigabytes of data!

EWA Guard (Earth Water Air Guard) is a software that uses artificial intelligence to analyze images from drones and e.g. …


Właśnie zakończyliśmy pierwszą pilotażową akcję, w której sztuczna inteligencja pomagała posprzątać świat. W ramach tegorocznej, międzynarodowej kampanii, odbywającej się cyklicznie na całym świecie w trzeci weekend września, byteLAKE, Lenovo oraz Resq Foundation dorzucili swoją technologiczną cegiełkę. Inicjatywę przez cały weekend wspierała Ewa Guard. Akcję mogę podsumować tymi słowami: eksplozja pozytywnej energii, drony i setki gigabajtów danych!

EWA Guard (ang. Earth Water Air Guard / Strażnik Ziemi Wody i Powietrza) to oprogramowanie, które przy pomocy sztucznej inteligencji analizuje obrazy z dronów i m.in. wykrywa oraz lokalizuje nielegalne wysypiska śmieci.

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Ewa Guard w akcji

Na stronie projektu (o czym wkrótce) powstaje mapa czystego świata. Będzie tam można także dołączyć do inicjatywy. Tymczasem osoby zainteresowane udziałem w akcjach pilotażowych prosimy o kontakt e-mailowy: pawel@resqfoundation.pl


And it does so in other places too. In my opinion (#POV), Cognitive Automation is the “how” to the “what” being defined as automation or generally speaking digital transformation (aka digitization).

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byteLAKE’s Cognitive Automation

So what is the difference between these two fellows? While browsing the Internet you might find a number of different descriptions or opinions. I have even seen something called Cognitive RPA... Anyway, let me share some definitions we use at byteLAKE.

RPA, Robotic Process Automation, is a (collection of… or a framework for…) software robot(s). It relies on basic technologies, a rule-based approach to automate easy, simple, yet repetitive and time-consuming tasks. …

About

Marcin Rojek

Co Founder @ byteLAKE | AI & HPC Solutions | AI for CFD, Manufacturing, Industry 4.0, Restaurants, Document Processing etc.

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