The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
There is a talent shortage in the Netherlands that is expected to persist until 2050. So concludes Ton Wilthagen, professor of Labor Market at Tilburg University, in the new High Tech Campus documentary The Talent Game: "Even if we attract more international knowledge workers, work more hours and involve people from the sidelines in the labor market, the talent shortage will remain."
In this episode, we discuss a joint effort between the Laboratory for Information and Decisions Systems and the Institute for Data, Systems, and Society at MIT to tackle the trust issue with autonomous vehicles.
Edge AI platforms can assist engineers to monitor battery health systems.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
14 minutes read.
14 minutes read.
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
There is a talent shortage in the Netherlands that is expected to persist until 2050. So concludes Ton Wilthagen, professor of Labor Market at Tilburg University, in the new High Tech Campus documentary The Talent Game: "Even if we attract more international knowledge workers, work more hours and involve people from the sidelines in the labor market, the talent shortage will remain."
2 minutes read
In this episode, we discuss a joint effort between the Laboratory for Information and Decisions Systems and the Institute for Data, Systems, and Society at MIT to tackle the trust issue with autonomous vehicles.
17 minutes read
Edge AI platforms can assist engineers to monitor battery health systems.
Article #3 of Spotlight on Innovations in Edge Computing and Machine Learning: A computer vision system that detects and localizes the surface cracks in concrete structures for predictive maintenance.
16 minutes read
From sleep monitoring wearables to face detection models, tinyML is making a big impact on the way we can gather and apply data.
Highlights from the 3rd Annual tinyML EMEA Innovation Forum include exploring hardware developments, algorithm optimization, and deploying MLOps tools.
Article 6 of Bringing Intelligence to the Edge Series: The utilization of edge AI facilitates advanced system optimization, predictive maintenance, and improved anomaly detection, greatly advancing technological capabilities across varied fields.
Article 5 of Bringing Intelligence to the Edge Series: Integrating voice user interface technology into microcontroller units for offline, edge-based voice recognition is set to redefine the landscape of home automation and smart industrial applications.
Article 4 of Bringing Intelligence to the Edge Series: AI is proving to be a more precise and time-efficient tool in processing the big data crunch by recognizing patterns and noticing inconsistencies in real-time.
In both analytics and machine learning (ML), the value of data cannot be overstated. Understanding its importance is essential for unlocking its full potential and driving informed decision-making, enhancing business processes, and exploring new opportunities across various industry sectors.
Understanding What is Unsupervised Learning, the Mechanisms, Types, and Applications of Various Algorithms and Challenges it presents in Machine Learning
Qube was designing IoT devices that needed to be deployed in remote environments and required very little maintenance. They needed a platform that offered low power, was affordable, and that could scale across the world.
10 minutes read
In this episode, we discuss a novel new approach for increasing the field of view of autonomous systems by leveraging reflections of blindspots on reflective bodies.
13 minutes read
Article 3 of Bringing Intelligence to the Edge Series: Balancing the critical metrics of accuracy, power consumption, latency, and memory requirements is key to unlocking the potential of Tiny Machine Learning (TinyML) in low-power microcontrollers and edge computing.
Article 2 of Bringing Intelligence to the Edge Series: Advancements in AI and embedded vision technologies are revolutionizing various industries, enabling real-time decision-making, enhancing security, and facilitating automation in various applications.
