Future Technology Magazine’s Post

Take intelligence to the Edge and explore the latest generation sensors from STMicroelectronics in our webinar on 27 February. Learn how to develop application intelligence towards the Edge, from finite state machine to embedded AI, bringing advantages in terms of cost and power savings. Register now: https://lnkd.in/eYDmbF7a #FutureElectronics #Embedded #AI #Sensors #Webinar

Meet SYMPHONY: Your factory's predictive maintenance solution. Analyzing vibrations and frequency signals, SYMPHONY predicts machine wear, ensuring continuous uptime and peak performance with AI. Connect your machine to SYMPHONY and grow in efficiency and reliability: https://hubs.la/Q02G5Z130 #PredictiveMaintenance #IIoT #MachineHealth #SmartManufacturing #Sensors

#news - We are researching ways to make sensors more high performance, more energy-efficient and smarter. ⚡📈 Through approaches such as edge computing, in which data processing takes place directly at the sensor, we are also helping to increase the trustworthiness of systems. 🖥️🔒 In a number of projects, we have succeeded in opening up new applications by combining sensor technology with artificial intelligence. 🤖📊 Find an overview of our projects in our annual report: 👉 https://lnkd.in/dTBT9vC --- #Fraunhofer #FraunhoferIPMS #whatsnext #SensorTechnology #EdgeComputing #EnergyEfficiency #HighPerformance #SmartSensors #ArtificialIntelligence #AI #Innovation #TechResearch #TrustedElectronics #Sensors

Future of sensors in AI: Multimodal sensors are rising, capturing diverse data like images, sound, temperature, and more, enriching AI systems with varied data sources. Edge computing boosts real-time responsiveness by bringing data processing closer to the sensors. AI chips, designed specifically for AI applications and integrated with sensors and processors, enhance processing speed and intelligent decision-making. #AISensors #EdgeComputing #AIChips

Our Partner, Hugo Filipe, wrote this insightful text about Neuromorphic Computing: “The largest European supercomputer consumes half a million 20-watt light bulbs. Does it look like a lot? If we compare it to the human brain, which consumes energy equivalent to a single one of those light bulbs, it will seem that current computers are super… inefficient. In addition to restricting energy consumption (or as long as this resource is limited), transistor miniaturization is reaching its limit, and Moore‘s law is beginning to show signs of slowing down. Imagine how far the scalability of a new hardware and software system would reach if its design was based on the neural functioning of the brain, imitating the biological synapses of human thought through artificial neurons, highly efficient and adaptable. With this technological advance, the boost in AI (which is already subject to the restriction of GPUs), autonomous navigation, robotics, health, virtual/augmented reality, security, and IoT is expected to be extraordinary, and there are already companies that are building this new hardware and software system completely from scratch. An alternative to quantum computing, this approach joins a set of innovative currents that will contribute decisively to changing the relationship between humans and technology and, in reality, with the world. Are you also curious and eager about what‘s coming?“ Hugo Filipe‘s expertise and vision bring a unique perspective to the future of technology, showcasing the exciting potential of Neuromorphic Computing. Share your thoughts and join the conversation: what excites you the most about the future of Neuromorphic Computing? Comment below! #nimble #NeuromorphicComputing #AI

To put things into perspective: Charging your phone once uses as much energy as keeping this sensor on for about 250 days at a whopping 30 FPS. This number only doubles as the resolution is reduced. However, its prowess truly lies in its auto wake-up and sleep features, along with host-independent motion detection, which save energy and make it well-suited for battery-powered #endpointAI vision applications such as smart homes, cities, buildings, and many more. #imagesensor #AI #EdgeAI #energysavings #sustainability

While my usual focus centers on architecture, more specifically around event-driven architecture in software, I couldn't contain my enthusiasm upon discovering this latest advancement in the sensor-based computing. Witnessing the expansion of the event-driven approach into new territories is truly captivating. Allow me to share this remarkable discovery with you. Event-driven technology has now expanded into the domain of 𝐬𝐞𝐧𝐬𝐨𝐫𝐬 𝐚𝐧𝐝 𝐬𝐞𝐧𝐬𝐨𝐫-𝐛𝐚𝐬𝐞𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠. Surprised? If you're wondering how sensors relate to event-driven computing, here's the scoop: A team of researchers from Hong Kong Polytechnic University, Huazhong University of Science and Technology, and Hong Kong University of Science and Technology has recently introduced innovative event-driven vision sensors. These sensors not only capture dynamic motion but also convert it into programmable spiking signals - akin to events. So, how does this differ from conventional setups? In traditional systems, sensor data is sent to external computational units, leading to issues like latency. But what's changing now? Enter Near-Sensor and In-Sensor Computing, where computation capabilities are integrated within or near the sensor itself. This departure from traditional architectures means that data processing occurs right at the source, minimizing latency and power consumption. Moreover, these sensors generate spikes in response to changes in light intensity and brightness, enabling real-time processing and decision-making. In contrast to traditional event-driven architecture, where events are processed by separate systems, neuromorphic sensors merge event generation and processing in a single unit. This integration allows for immediate responses to environmental changes, thereby enhancing responsiveness and efficiency. Neuromorphic vision sensors signify a fusion of event-driven and sensor-based computing, where sensing and computation are tightly intertwined. This paradigm maintains the fundamental principles of EDA — responsiveness to events and efficient data handling — while catering to the demands of real-time, energy-efficient sensory systems. The advancements in event-driven vision sensors and sensor-based computing are poised to revolutionize a multitude of fields, including autonomous vehicles, smart city initiatives, industrial automation, and countless others. Truly exciting times ahead! #eventdriven #eventdtivenarchitecture #sensortechnology #sensorbasedcomputing #neuromorphicsensors #iot #ai #innovation https://lnkd.in/g4qunzWz

Next-gen AI sensors enable infrastructure companies to predict where problems will emerge, saving time, energy, and labor costs. Not only that, but the latest versions can last forever in the real, physical world. Discover how the never-ending AI sensors are revolutionizing the infrastructure sector with BrightAI’s Alex Hawkinson. #AI #laborcosts #sensors #technology

Next-gen AI sensors enable infrastructure companies to predict where problems will emerge, saving time, energy, and labor costs. Not only that, but the latest versions can last forever in the real, physical world. Discover how the never-ending AI sensors are revolutionizing the infrastructure sector with BrightAI’s Alex Hawkinson. #AI #laborcosts #sensors #technology