Diogo Amorim

This week, we started a new course at Universidade Federal de Itajubá, IESTI05 - Edge Machine Learning Systems Engineering. IESTI05 is a 15-week undergraduate course designed to teach students how to implement AI systems on edge devices, specifically using Raspberry Pi platforms. The course is based on the e-book: "Edge AI Engineering" by Prof. Marcelo Rovai, UNIFEI 2025 (https://lnkd.in/eRrvn9FF). Open materials will be uploaded to this repo (https://lnkd.in/eRp2Q63A) every week. - Slides, Notebooks, Code, and Docs in English - Videos in Portuguese #EdgeAI, #AI

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You're starting a job in the software team at Shapeways. You'd expect to be diving into the code, right? Not so fast. When new engineers join Tiago São José's team at Shapeways, they don’t start by writing code. Instead, they spend a day in production — packing boxes, shipping orders and using the tools they’ll be developing. Because developing the best software comes from understanding how its used in the real world, and knowing the people who use it. ▶️ In this clip, Tiago explains why empathy is at the heart of engineering. See the full video on our blog: https://lnkd.in/e_QZQKC8

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What happens when you connect state-of-the-art research with a real-world application?     Yesterday at ECML-PKDD 2025 in Porto, we presented GraphPCBs during the poster session.   Our project focuses on applying GNNs to optimize circuits in the schematics design phase, and it is a collaboration between CELUS and the University of Kassel, with the support of the BMFTR.   The response? Great interest, valuable discussions, and lots of curiosity from both the ML community as well as from people working with electronics.   Have you seen other examples where AI is making a difference in engineering workflows? 👇   #GraphPCBs #ECMLPKDD2025 #Electronics #MachineLearning #PCBDesign #CELUS

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Our COO Margarida Garcia addressed a critical challenge at MIT Technology Review's EmTech conference: why context is everything in AI coding. The problem? Current tools stay very much at the surface. They can fix isolated bugs but struggle with multi-file editing and understanding how complex systems connect. When errors span interconnected files, generic AI tools can't trace the root cause contextually. "Understanding a codebase in some enterprise environments is effectively a nightmare," Garcia explained. "Having tools that bridge that gap and actually ingest, learn from the context—that can be your intelligence layer that knows more about your codebase than any engineer around." This is why poolside deploys within your security boundaries, understanding your specific context rather than offering surface-level solutions.

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The "holy trinity of smart manufacturing" was used by Francisco Almada Lobo Almada Lobo, from Critical Manufacturing to describe manufacturing data platforms, MES and IoT connectivity. It provides the data foundation required by application of AI in manufacturing according to this article* from Automation World about Almada's keynote at the MES & Industry 4.0 Summit. Today, #MES software offers extensive possibilities for customization and escalation, but operates above all on static environment and fixed rules. But manufacturing processes can not be considered static anymore, since global economic issues and supply chain disruptions lead to higher product customization, leading to inefficiencies that traditional MES architectures can struggle to address. The solution proposed is "augmenting MES systems with AI agents that can learn, adapt and make intelligent decisions in real-time". But going through an important further development in this production automation layer: developing robust data and architectural strategies to support them. "Traditional, transaction manufacturing systems using relational databases were never never designed for AI workloads, which require massive, diverse datasets spanning images, text, logs and sensor feeds. AI also needs historical data and access to live stream processing data for real-time responses" The big takeaway for me is that MES as we know it will not be enough in the near future. The ability to combine MES with AI agents will decide who can truly adapt their factories to a world that refuses to stand still. It’s clear that manufacturers need to start thinking beyond static MES and move toward architectures that can actually learn and adapt. Building that foundation now will make the difference between keeping up and falling behind. This shows how MES is shifting from being a system of record into a system of intelligence. The ones who prepare their data, architecture and mindset for this shift will be the ones shaping the next generation of #smartmanufacturing.

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Credentials shouldn’t depend on PDFs. And verification shouldn’t take days. NOVA IMS is now issuing academic credentials as Verifiable Credentials, using blockchain technology aligned with W3C standards, OpenID, and the EBSI pilot. It’s the first production rollout of its kind in Portugal, placing NOVA IMS among Europe’s early adopters. Students can store credentials in their own digital wallet and share proof of a qualification in seconds with employers and institutions – who can verify authenticity automatically, reducing friction and fraud risk. The NOVA IMS Academic Credential Portal was developed by the Nova Blockchain Lab at NOVA IMS, led by Joana Rodrigues Pereira, with development by Francisco Ribeiro. NOVA IMS Dean, Miguel de Castro Neto, highlights its value for students and employers: “As a public school, we have a responsibility to lead solutions that bring real value to the country and to higher education. We developed this technology within NOVA IMS, aligned with European standards, to better serve our students and employers.” Full article: https://lnkd.in/dUpa-XaK #NOVAIMS #DataVisionaries #DataScience #ArtificialIntelligence #AI

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Learnosity is moving fast in #AI for #assessment—and we’re gaining momentum thanks to the innovations of AI Labs, a large team of dedicated AI specialists operating as “a start-up within a scale-up”. Here, Software Engineer Rodrigo Pessoa gives an inside peek at the team’s work and shares some thoughts on the where AI can impact assessment in the near future.

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🌟 Crossjoin Academy: Personal Breakthroughs and Efficient Self-Mastery Our Crosser, Diogo Mucharrinha, joined as a DevOps Engineer, but describes his Academy experience with one word: growth. While his technical project focused on Automatic Incident Monitoring and Remediation, his most significant development was in his soft skills. Diogo highlights two crucial areas of personal growth that the Academy nurtured: Overcoming Personal Barriers: "I received the necessary 'push' to understand and confront the fear I had of presenting." This is one of the two skills that most advanced his career. Optimized Self-Improvement: The other key skill he developed was learning how to guide self-criticism to efficiently address flaws. These breakthroughs were enabled by a safe learning environment that offered a crucial lesson on process management: "A key highlight was learning, safely and firsthand, how misaligned expectations and ignoring our Methodology affect a consultant's efficiency." For Diogo, the Academy is where continuous follow-up and personal analysis truly transform the consultant. His final piece of advice: "Make the most of the tools that are provided and enter the Academy with a willingness to learn and improve." Join us and discover a program that invests in your holistic growth! 🎓 #CrossjoinAcademy #PersonalDevelopment #SelfCriticism #ITCareer #Methodology #DevOps #Crossjoin

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