Avnet Silica

Innovation is about more than technology. It's about expertise, collaboration and proactiveness. At Avnet Silica, we see the bigger picture and deliver what's next. Experience the full range of solutions our specialists bring together to deliver for you and join the ranks of innovators who have turned their visions into reality with Avnet Silica. We are the Engineers of Evolution. #Innovation #Expertise #Collaboration #Solutions #EngineersOfEvolution

Machine vision is enabling many existing and emerging markets. Security, manufacturing and industrial automation all use machine vision and adding artificial intelligence inferencing at the sensor provides many benefits. Industrial automation combines robotics with vision systems. The vision systems in these applications are typically separate functions providing position data to the robot. Adding AI to production vision systems could extend their capability. The closer integration of robotics with intelligent vision systems will lead to new and more capable industrial automation. Join Avnet Silica's AI/ML and Vision System Solutions Manager, Michaël Uyttersprot as he explores deep vision inspection using AI. ✅ An introduction to Deep Vision and how AI is advancing it ✅ Optimised visual inspection - Training at the Edge ✅ How to run models on low-power platforms https://lnkd.in/e6Sbia2i #DeepVision #AI #EngineersOfEvolution

The intersection of human emotions, artificial intelligence, and the future of human-computer interaction is fascinating. 🤯 As we continue to look back at some of our recent most-viewed We Talk IoT episodes, we delve deeper into 'Affective Computing' - the study and development of systems and devices that can recognise, interpret, process, and simulate human affects. In Episode 45, Stefanie had the privilege of hosting Nina Holzer, a researcher from the renowned Fraunhofer IIS and the team lead for 'Multimodal Human Sensing'. Tune into the full episode today 👉 https://lnkd.in/e4zrHZKK #Podcast #IoT #AI #AffectiveComputing #Simulations #EngineersOfEvolution

The 'Smart Home' has been hyped in the media since the term was first coined by The American Association of Home Builders in 1984. However, the idea goes back to 1975, with the introduction of the X10 communications protocol, which was designed for data communications over AC power lines in buildings. In recent years, Matter has taken the Smart Home concept much further. The Connectivity Standards Alliance (CSA, formerly the Zigbee Alliance), positions Matter as "The Foundation for Connected Things" and describes it as an IP-based protocol to connect compatible smart home devices and systems, mobile apps and cloud services. Join Avnet Silica's Walter Puhl as he explores how Matter will help us meet the Smart Home Promise and explores: ✅ How Matter works ✅ The Semiconductor companies already embracing Matter ✅ Progress of Matter to date https://lnkd.in/ewX4ptHy #Matter #Wireless #Connectivity #SmartHome #EngineersOfEvolution

Want to join the Engineers of Evolution? Our true success doesn’t come from products. It comes from people. People like you. Avnet Silica gives employees a front-row seat to the latest innovations shaping the world we live in and the future we share. Some of the biggest names in technology rely on us to help them make amazing products, from the devices you can’t live without to the satellites that keep them connected. Check out our latest job openings and apply today via LinkedIn. You can also set Avnet Silica job alerts so you never miss a new opportunity... ◼ Inside Sales Representative - Merelbeke, Flemish Region, Belgium ◼ Account Manager - Holzwickede, North Rhine-Westphalia, Germany ◼ Field Application Engineer - Lyon, Auvergne-Rhône-Alpes, France ◼ Field Application Engineer - Herlev, Capital Region, Denmark ◼ Field Application Engineer Power - Poing/Stuttgart, Germany https://lnkd.in/ebBjZDAP #Careers #EMEA #Semiconductors #Distribution #Engineering #Sales #EngineersOfEvolution

Generative AI is not new. It has, however, recently taken an enormous leap in what it can do, inspiring no little amazement, as well as a bit of alarm. A popular candidate for the first generative AI is the first chatbot, 'ELIZA', introduced in the 1960s, which was trained to respond like a psychologist. Since then, Zojirushi introduced a rice cooker based on fuzzy logic in 1983; IBM’s Deep Blue defeated chess master Garry Kasparov in 1997 and Apple introduced its 'Siri' voice assistant in 2011. Join us as we take a closer look at the evolution of Generative AI and where it's headed. https://lnkd.in/ekKVNp9h #AI #GenerativeAI #EngineersOfEvolution

AI/ML can perform recognition and classification, predictive analytics, natural language understanding, and other tasks that are difficult or impossible to accomplish with traditional computing. These capabilities lead to an impressive variety of use cases: voice recognition, autonomous driving, epidemiology, pharmaceutical design, software coding, financial trading, and so much more. Join us for a deep dive into AI/ML models and algorithms, focusing on neural network models, AI algorithms, predictive analytics, classification vs regression and AI/ML deployments. https://lnkd.in/ejCusXCG #ArtificialIntelligence #MachineLearning #AIModels #Algorithms #EngineersOfEvolution

A good first step toward exploring the adoption of AI technology is gaining familiarity with concepts and the specific engineering terminology associated with them. One of the difficulties with learning about AI is that some of the concepts are interdependent, and terms that aren’t strictly interchangeable can be used for each other. This can streamline verbal communications, but it can be confusing to the uninitiated. Compounding the confusion, any two organisations might have slightly different definitions for any given term. Get familiar with AI concepts and terminology with our extensive AI Glossary. https://lnkd.in/ekjHtyFD #AI #Concepts #Terminology #Glossary #EngineersOfEvolution

While much of Europe enjoys the summer holidays, August sees us take a short break from releasing new We Talk IoT episodes. We use it forward plan and record a lot of new content ready for IoT enthusiasts to enjoy when they're back from their holidays. This gives us a great opportunity to reshare some of our recent most viewed and best-received episodes, starting with episode 39: Unified, Scalable, Secure - The Matter Promise for Enterprises. Guylain Pouly, Wireless Connectivity Marketing Manager at NXP Semiconductors joined Stefanie to discuss how Matter is shaping the business ecosystem, the opportunities it brings to the table for enterprises, and what its adoption could mean for the future of smart tech integration. Tune into the full episode today 👉 https://lnkd.in/evH5D9W7 #Podcast #IoT #Matter #EngineersOfEvolution

With no end in sight for the boom in the AI market, vendors of graphics processors (GPUs), general purpose processors (CPUs), neural processors (NPUs) and other specialised AI processors will be fighting each other for market share for years to come. No single processor type is likely to emerge as a definitive winner, appropriate for all AI workloads, at least not in the foreseeable future. Each type of processor has advantages and drawbacks. As always in engineering, the tradeoffs will balance out differently for each use case. Avnet Silica can provide expert guidance as customers evaluate which processor type will be best for their specific AI workloads.  Join us as we explore artificial intelligence and the question of processors, taking a closer look at training, inference and inference options. https://lnkd.in/e5GceJbB #AI #Processors #GPUs #CPUs #NPUs #EngineersOfEvolution