The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
In this episode, we talk about a research out of Stanford University shedding light on the effectiveness of AI policing social media, How studying Marsquakes is providing valuable insight regarding the red planet’s origin, an EPFL effort to prevent lead leakage from solar cells using phosphate salts
The University of Ostrava developed an application to automate the search for unknown objects within a large database using point clouds acquired from the 3D vision from Photoneo.
Photoneo 3D vision is used for dynamic generation of robot trajectory to navigate a robot in automated pressure washing of trailer tanks and lorries.
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.
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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.
In this episode, we talk about a research out of Stanford University shedding light on the effectiveness of AI policing social media, How studying Marsquakes is providing valuable insight regarding the red planet’s origin, an EPFL effort to prevent lead leakage from solar cells using phosphate salts
2 minutes read
The University of Ostrava developed an application to automate the search for unknown objects within a large database using point clouds acquired from the 3D vision from Photoneo.
Photoneo 3D vision is used for dynamic generation of robot trajectory to navigate a robot in automated pressure washing of trailer tanks and lorries.
Let's take the well-known sea-rescuer, the dolphin, for example. Dolphin’s sensorium is more intended for the search of biological objects under water by use echolocation. At the same time, the military prefer to use dolphins to find metal objects (mines) rather than search & rescue drowning people
French manufacturing companies exist in a constantly changing economic sector. In order to better respond to their customers’ requirements and market pressures, they have to demonstrate innovation and a readiness to invest in factory modernization.
3 minutes read
The JAMK University of Applied Sciences uses Photoneo PhoXi 3D Scanner and Bin Picking Studio to test bin picking for external companies and their specific applications.
In this episode, we talk about how MIT has built a magic carpet to avoid privacy concerns with human body tracking, an initiative from Texas A&M to track nanoparticles in produce, and the novel approach from Carnegie Mellon to turn household items into sensors.
A short guide to the technologies behind the next agricultural revolution.
In this episode, we talk about a new machine learning model developed by NIST to predict flashover in burning buildings and protect firefighters, NASA’s new ultrasonic additive manufacturing approach, and an affordable, high performance athletic prosthetic.
AI on its own is not a Unique Selling Point but a commodity. Defining your use cases and applying AI in a smart way is what sets you apart from the rest. Your domain knowledge is what distinguishes you from your competitors.
5 minutes read
Columbia Engineering researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers
In this episode, we talk about the injectable microchip from Columbia University along with its applications in clinical settings, a global effort to develop two dimensional transistors, and a NASA Pathways Intern who created an AI powered system capable of detecting spacecraft failures.
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
