In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.
In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.
In this episode, we talk about MIT’s new ion propelled hovering rover destined to change the way we explore our universe and an emergency drone coming from TUM hoping to reduce the fatalities caused by cardiac arrest episodes.
Whether for squats or sit-ups, the software created by the start-up VAY alerts exercisers about incorrect movements via a smartphone screen. Now the ETH spin-off has been acquired by connected fitness equipment manufacturer Nautilus.
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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"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.
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 article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.
In this episode, we talk about MIT’s new ion propelled hovering rover destined to change the way we explore our universe and an emergency drone coming from TUM hoping to reduce the fatalities caused by cardiac arrest episodes.
Whether for squats or sit-ups, the software created by the start-up VAY alerts exercisers about incorrect movements via a smartphone screen. Now the ETH spin-off has been acquired by connected fitness equipment manufacturer Nautilus.
4 minutes read
Voice interface demands application-specific chips that can understand language.
Wearable sensors plus computer vision could reduce the likelihood of degenerative joint disease.
3 minutes read
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.
4 minutes read
At READY we want to engage the landscape of developers outside the robotics industry to be programmers in the robotics industry.
4 minutes read
In this episode, we talk about how a breakthrough with compact laser nano-printers can make them more accessible for researchers and how leveraging 3D printing technology and machine learning will provide essential insight for developing next-gen cochlear implants.
In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.
This handbook introduces the concept of bin-picking, and explores its complexity through real-case studies.
2 minutes read
In this episode, we talk about a breakthrough in biorobotics with self-reproducing xenobots and a leap in stable tissue engineering designs.
Edge Impulse recently announced official support for the Syntiant NDP101 processor, an always-on sensor and speech recognition processor, with ultra-low power consumption of less than 140 uW while recognizing words.
In this episode, we talk about how the AI used for deep fakes is being leveraged for new material discovery and how AI beat human managers in process management.
KOPR spol. s.r.o. developed a solution for advanced laser cutting of heavy hot-formed parts and their subsequent quality check. The solution deploys 3D vision and Bin Picking Studio from Photoneo and an ABB robot.
2 minutes read
