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.
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.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
Unsupervised learning is a machine learning approach that finds patterns, structure, or useful representations in unlabeled data. It groups similar observations, compresses high-dimensional features, detects outliers, discovers item relationships, and supports modern representation learning.
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High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
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University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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Protect the cloud by securing the edge with hardware-based security, TPMs, HSMs, and resilient edge computing architectures.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
how Last Praetorian Interactive made Project Vesperi with one Xsens suit
With Xsens Motion Capture
With Xsens Indie Program
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
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
with Xsens MTi
4 minutes read
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
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
Arnaud Hubaux, Senior Technical Program Manager explains about optimization of ASML machines as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
5 minutes read
Interesting discussion with Hod Lipson, the head of Creative Machines Lab, Columbia University in New York. In this episode, Can robots be Self-aware? Can robots design other robots and self-repair? Why should we evolve robots to do tasks that animals do so well?
You can now build tiny machine learning (TinyML) models that interpret sensor data in realtime, from detecting lions roaring to tracking sheep workouts.
What may have started as a technology to have fun with, may very well change the way we tackle data protection and identity frauds.
Sebastiaan Laurijsse, Chief Transformation Strategist at Splunk and initiator of the AI Leadership Forum explains about the future of data as part of a series from the founding partners of the AI Innovation Center at High Tech Campus Eindhoven.
7 minutes read
In this episode, we talk about cutting vehicle emissions testing using IoT devices, creating shape memory textiles from recycled wool, and an initiative to develop hydrogen fuel cell powered airplanes.
In this episode, we talk about the first full-size soft tissue 3D printed heart, an AI algorithm that knows what music is best for you, and the newest weather-monitoring satellite.
