The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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.
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 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.
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.
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
In this episode, we talk about how DeepMind’s AlphaFold algorithm solved protein folding, NASA JPL’s partnership with the Department of Homeland Security to better protect firefighters, and a trial for autonomous shuttles in DTU that can change the transportation infrastructure of the whole country
In today’s digital age, where information is massively booming, ordinary softwares cannot handle the data because it’s Big Data. In this article, we’ll understand the main characteristics of Big Data i.e., the 3V’s, its technological advancements, applications, challenges, and data security.
Brian de Bart, Team Lead Automotive System Innovation at NXP explains about chips and AI in automotive industry as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
5 minutes read
