The automation of the production process of brake discs helped increase productivity and reduce the challenging nature of manually picking the brake discs from a bin.
The automation of the production process of brake discs helped increase productivity and reduce the challenging nature of manually picking the brake discs from a bin.
In this episode, we talk about how Australian National University researchers broke the world record for solar cell efficiency and a new AI-powered device coming out of MIT that can help you determine if the material you want to use for laser cutting is safe + what settings to use.
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
"MechStyle" allows users to personalize 3D models, while ensuring they're physically viable after fabrication, producing unique personal items and assistive technology.
A simulation of an individual patient's brain tumors, kept up to date with readily available data, can identify whether dietary treatments and drugs are likely to work.
Hey Tuya showcases how agentic Physical AI evolves assistants from isolated commands into systems that learn context, coordinate devices, and act reliably across real-world environments.
This episode celebrates five years of The Next Byte with a recap of 2025, highlighting standout episodes through The "Saucies" Awards, reflecting on major trends, sharing predictions for 2026, and thanking the global listener community.
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.
The automation of the production process of brake discs helped increase productivity and reduce the challenging nature of manually picking the brake discs from a bin.
In this episode, we talk about how Australian National University researchers broke the world record for solar cell efficiency and a new AI-powered device coming out of MIT that can help you determine if the material you want to use for laser cutting is safe + what settings to use.
In this episode, we talk about a collaboration between two professors at Cornell University to combat the multi-billion dollar annual loss of grapes by combating powdery mildew using AI and how a novel material developed by NASA JPL researchers can significantly reduce the cost of robotics worldwide
Abagy Robotic Systems, the winner of Photoneo’s contest for the Best Application 2021, developed a revolutionary approach to automated welding enabled by advanced object detection and robot navigation.
In this episode, we talk about why we are going back to the Saturn system with NASA’s Dragonfly mission, how MIT PhD student’s AI Algorithm could expedite the drug that could cure duchenne muscular dystrophy, and a Cornell professors invention that can track your facial features throughout the day.
In this episode, we talk about how TUM researchers are trying to model the effects of climate change on forest fires using a neural network, why robots assisting with getting dressed is more challenging than it seems, how drones are being used to evacuate elderly in nursing homes during emergencies.
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.
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.
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.