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“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
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“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
Featured
The overall goals are to minimise the environmental damage caused by industrial production, and, more specifically, to do our best to reduce our industrial carbon footprint.
Featured
Now wireless-enhanced personal transport solutions are riding their way into the mainstream transport picture, creating new business opportunities in the process.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
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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TAGGED WITH machine learning
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.
TAGGED WITH computer vision
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
A deep-dive listicle guiding controls, automation, and quality engineers toward the best vision systems for manufacturing applications in 2026.
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Latest Posts
“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.
The overall goals are to minimise the environmental damage caused by industrial production, and, more specifically, to do our best to reduce our industrial carbon footprint.
Now wireless-enhanced personal transport solutions are riding their way into the mainstream transport picture, creating new business opportunities in the process.
4 minutes read
Over the next decade, we can expect to see exponential gains in performance and power efficiency of embedded computer systems.
5 minutes read
Unsupervised domain adaptation is the solution to overcome the challenge of limited training data effectively.
4 minutes read
As a result of the development of various machines and robots, we have become able to effortlessly handle jobs that humans could not perform with muscle strength and motor skills. Moreover, owing to advances in sensors, AI, and other information processing technologies, we have also become able to use perceptual abilities that exceed the five human senses.
6 minutes read
At the recent AI+Education Summit, Stanford researchers, students, and industry leaders discussed both the potential of AI to transform education for the better and the risks at play.
6 minutes read
Innovations such as biomimicry, software inspired by insect brains, smart skin, neuromorphic computing, and other emerging technologies further expand robots' capabilities and push the boundaries of robotics hardware.
This article explores the role of robotics and Artificial Intelligence (AI) in sheet metal forming. The utilization of AI and automation has accelerated and enhanced the speed and accuracy of centuries-old manufacturing processes.
AI chatbot ChatGPT exploded onto the scene in November 2022. It can write essays, WordPress plugins and even pass an MBA exam – yet scientists still don’t fully understand how these general artificial intelligence programs work. New EPFL research aims to change this paradigm. This article is an excerpt from : Artificial intelligence: friend or foe?
4 minutes read
ABI Research forecasts that TinyML unit volumes will explode from 15 million units in 2020 to 2.5 billion units in 2030. Find out about this machine-learning technique now.
3 minutes read
Today, the IoT has enabled the amount of data we collect to grow by many orders of magnitude. We can sense almost anything, anywhere, and then wirelessly transmit the data to powerful remote Cloud servers. This has opened up opportunities for new applications that previously would not have been possible.
4 minutes read
As potential locations for future base camps, the lava caves on the moon are of great interest. But how can they be reached and explored? This has been investigated by a European consortium coordinated by the German Research Center for Artificial Intelligence (DFKI) in the project CoRob-X
In this episode, we discuss how researchers aim to reintroduce human guidance and oversight in the development and use of AI technology to address the risks of misuse and ensure deployment of models has a net positive impact.
The edge machine vision sector is growing rapidly, but developers must have access to the right hardware if they are to keep up with demand and stay ahead of their competitors.
