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

Cognitive Services is a collection of AI models designed to address Industry 4.0 needs: AI-assisted Visual Inspection and AI-powered Big Data / IoT Sensors Data Analytics.

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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
    Direct link to a video
  4. Revolution in factories: Industry 4.0. (conference: Made in Wroclaw 2020) (translation)Video recording (in Polish, English subtitles)

This is a table of contents I’ve created to help you navigate through various announcements related to byteLAKE’s FD Suite.

CFD Suite is a collection of innovative AI Models
for Computational Fluid Dynamics (CFD) acceleration.

Ultra-fast results, radically lower TCO. Explore new possibilities. Cross-platform. No changes in hardware needed. Plug & play for existing CFD tools (data format compatibility).

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Table of Contents

  1. First announcement, our very first post on LinkedIn where we announced the course of the CFD Suite project. …

Avnet Silica and byteLAKE are among gold partners of Machine Learning Prague | Online conference, the most practical online conference focusing on ML, AI, and Deep Learning applications. If you’d like to participate, here’s a 20% discount code for our community members, just use — avnetsilica20 or bytelake20 (insert it in lower case) when purchasing a ticket.

From byteLAKE’s perspective, we decided that this year we will focus completely, 100% on our research and development efforts related to leveraging Artificial Intelligence (AI) to accelerate Computational Fluid Dynamics (CFD) engineering simulations.

This year, during MLPrague’21, byteLAKE will talk and present the…

Faster, Cooler, Smarter…for EveryScale is the main theme for the upcoming Lenovo’s AI&HPC online event called WinterStock. The event has been designed to bring you — the Data Centered — a thrilling armchair spectacle that bravely explores Lenovo’s concept of “From Exascale to Everyscale™,” the idea that exascale-level technologies can and should be used in organizations of all sizes and exactly how Lenovo is working with partners around the world to make that a reality and generate new ideas as to how Lenovo and byteLAKE can transform your organization.

Register Now:

UPDATE: now both webinars are available on-remand:

byteLAKE team hopes you popped the champagne and all had a mighty celebration for the start of the new year. It’s certainly a well-deserved joy!

While we enjoyed our own celebrations, we’re back in action working on our AI-powered products. We will soon be sharing some exciting updates about CFD Suite (AI-accelerated CFD/ Computational Fluid Dynamics) and Cognitive Services (AI for Industry 4.0 offering visual inspection automation and big data analytics).

This is, of course, the time of year when many of us are considering our goals and plans. If you’re making plans regarding Artificial Intelligence, it’s good to get…

Grudzień to czas na prezenty i aby tradycji stało się zadość, mam jeden dla Was. Ale o tym za chwilę. Ostatnie miesiące w byteLAKE to bardzo intensywny okres: nowe produkty, szeroko zakrojone badania naukowe i oczywiście kilka wywiadów po drodze. W końcu pierwsze wdrożenia, pierwsze informacje zwrotne od klientów, aktualizacja roadmapy etc. Rozmowy jakie odbyliśmy uświadomiły nam, że po drodze zdobyliśmy całkiem pokaźne doświadczenie.

Wdrożenie czy nawet przygotowanie firmy by maksymalnie wykorzystała możliwości oferowane przez sztuczną inteligencję to jednocześnie bardzo ekscytująca podróż ale i dla wielu wycieczka w nieznane.

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Strategia Wdrożenia AI — jak zacząć?

Postanowiliśmy podzielić się wiedzą zdobytą w trakcie naszych projektów i w…

2020 is slowly approaching its finishing line, but certainly, there are still some fascinating and good things awaiting us. One of these is:

Lenovo Data Center and byteLAKE have been shortlisted for the 2020 AIconics award !!!

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Lenovo Data Center and byteLAKE shortlisted for the 2020 AIconics award

It’s like being nominated for a… Grammy Award but in a special category dedicated for businesses bringing outstanding value in the Artificial Intelligence space, both research, innovations, services, and actual deployments, and product build-up. This year we have been nominated in the “AI for Good” category within the “Ecosystem & Vertical Group”.

We are super happy and proud to be recognized and nominated for this prestigious award. That is another factor that motivates us to continue our…

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…

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…

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…

Marcin Rojek

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

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