The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.
Cobots when combined with Artificial Intelligence(AI), can effectively work alongside humans in the real world on their daily tasks. With an AI technique called Inverse Reinforcement learning (IRL), the robot can observe a human performing the task and learn how to do it quite intuitively.
There are two ways to mount a 3D vision system in the robotic cell, each having its advantages and each being more suitable for certain applications. However, there are many cases where hand-eye calibration surpasses the more traditional setup in a number of respects.
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
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Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
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.
Engineers at EPFL have developed a predictive control model that allows swarms of drones to fly in cluttered environments quickly and safely. It works by enabling individual drones to predict their own behavior and that of their neighbors in the swarm.
2 minutes read
Cobots when combined with Artificial Intelligence(AI), can effectively work alongside humans in the real world on their daily tasks. With an AI technique called Inverse Reinforcement learning (IRL), the robot can observe a human performing the task and learn how to do it quite intuitively.
3 minutes read
There are two ways to mount a 3D vision system in the robotic cell, each having its advantages and each being more suitable for certain applications. However, there are many cases where hand-eye calibration surpasses the more traditional setup in a number of respects.
4 minutes read
Fewer typing errors when touching a smartphone keyboard: ETH Computer scientists have developed a new AI solution that enables touchscreens to sense with eight times higher resolution than current devices. Thanks to AI, their solution can infer much more precisely where fingers touch the screen.
4 minutes read
In the agri-food sector, the range of treats has been growing for a long time: sweet snacks, chocolate spreads and pastries are becoming more popular all over the world. To produce these delicacies, different kinds of shell nuts are necessary, such as walnuts, almonds, hazelnuts and macadamia nuts.
4 minutes read
#4 of our 'Voice of Innovation' fireside chat series, in which Syntiant CEO Kurt Busch talks with Andreas Urschitz Division President Power & Sensor Systems at Infineon.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
An overview of the architecture of IIoT and how it is developing to drive the scalability of Industry 4.0.
In this episode, we talk about MIT’s lobster inspired armor, wireless charging of electric vehicles, and a joint effort between RE2 Robotics and the US Department of Energy Solar Energy Technologies Office to reduce the set up time/cost of solar farms.
The customer decided to automate the process of picking 6 different types of pipe parts from a bin and placing them into a swedging machine. The solution consists of a Staübli TX2-90L robot equipped with a Photoneo PhoXi 3D Scanner.
From Single Models to Full MLOps, Edge Impulse Is The New Instruction Engine For A Smarter Industrial Sector.
Over the past few months, you’ve may have heard talk about TinyML: the idea of running machine learning models on microcontrollers, and other small devices that don’t use much power.
5 minutes read
Advanced sensors and sophisticated AI power intuitive robotic assistant.
6 minutes read
Researchers at Texas A&M University have described a computational tool to evaluate a material’s suitability for high-temperature applications, such as gas turbines for jet engines and electrical power generators.
Remote temperature monitoring systems provide critical insights for IoT applications across many industries, including real estate, manufacturing, and healthcare. Early adopters are already seeing measurable ROI from automatic temperature monitoring in terms of increased productivity and more.
4 minutes read
