Let us delve into the profound impact that generative AI may have on employment, exploring both the opportunities it creates and the challenges it presents, as we strive to shape a world where human ingenuity and machine intelligence can coexist harmoniously.
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
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.
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.
Let us delve into the profound impact that generative AI may have on employment, exploring both the opportunities it creates and the challenges it presents, as we strive to shape a world where human ingenuity and machine intelligence can coexist harmoniously.
Automation uncovers combinations of amino acids that feed two bacterial species and could tell us much more about the 90% of bacteria that humans have hardly studied.
Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.
As artificial intelligence becomes increasingly embedded in everyday life, concerns have grown around bias in its programming. Many of the tasks performed by AI are simple and innocuous, but as its capabilities expand, so does its potential for wide-ranging impact.
Article #5 of Transforming Industrial Manufacturing with Industry 4.0 Series: The next evolution of AR in manufacturing comes by pairing it with AI, allowing for seamless information access and tracking of specific surfaces/points of interest in real-time.
Columbia Engineers design a robot hand that is the first device of its kind to join advanced sense of touch with motor-learning algorithms — it doesn’t rely on vision to manipulate objects
Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.
High Tech Campus Eindhoven (HTCE) and its AI Innovation Center today announced a collaboration with Amazon Web Services (AWS). The new collaboration aims, through education and inspiration, to increase the implementation and usage of AI services and machine learning (ML), as these technologies not only transform business, but also transforms research and development.
In this episode, we talk about how robotics and artificial intelligence are being used in the sheet metal forming industry to improve safety, efficiency and precision.
Detecting inconsistencies in device behavior offers insights into how to improve user experience. using a high-speed camera, this use case deep dives into device response time measurement using a black-box approach that replicates real-world touchscreen usage.