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The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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Altair’s Future.Industry 2025, a premier global virtual event, united professionals, innovators, and technology enthusiasts to explore the convergence of advanced technologies and sustainability.
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A researcher in the Department of Computer Science and Engineering is developing a security-focused large language model to defend against malware.
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
TPU vs GPU: A Comprehensive Technical Comparison
By Umar Waseem.
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TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
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High Tech Campus Eindhoven
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High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
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ETH Zurich
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Freedom and individual responsibility, entrepreneurial spirit and open-min...
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TAGGED WITH machine learning
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.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
TAGGED WITH computer vision
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.
Latest Posts
The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
5 minutes read
Altair’s Future.Industry 2025, a premier global virtual event, united professionals, innovators, and technology enthusiasts to explore the convergence of advanced technologies and sustainability.
A researcher in the Department of Computer Science and Engineering is developing a security-focused large language model to defend against malware.
2 minutes read
The evolution of MEMS microphones marks a significant leap towards a future of seamless human-to-machine interaction, ensuring that AI can truly listen - and one day even "understand" - beyond our auditory limits.
Researchers from Princeton and Rutgers University have used reinforcement learning, a method frequently deployed to train artificial intelligence, to show how flexible responses can substantially increase the cost-effectiveness of steps to defend cities like New York against climate change.
6 minutes read
Unveiling the Future of Embedded AI: Object Anomaly Detection and More at Embedded World 2025
It takes ten times more electricity for ChatGPT to respond to a prompt than for Google to carry out a standard search. Still, researchers are struggling to get a grasp on the energy implications of generative artificial intelligence both now and going forward.
6 minutes read
Imagine a world where devices respond instantly to your voice commands without relying on cloud processing—that's now possible with keyword spotting. Read more to discover how it is revolutionizing voice-enabled technology.
4 minutes read
In this episode, we explore how a generative AI tool is marking a major milestone in biology and accelerating advancements in healthcare, genetics, and drug development.
11 minutes read
Camera-equipped robotic systems serve as key expansion components within this industry because they improve efficiency and accuracy across multiple fields, including manufacturing, healthcare, logistics, and autonomous vehicle development.
Deploying machine learning models at the edge is crucial for real-time data processing in industrial applications. This article explores how Docker simplifies Edge AI deployment on the Arduino Portenta X8, enabling scalable and secure AI implementations on embedded Linux systems.
3 minutes read
Exploring tangible AI-driven improvements—from ideation to failure prediction—that are transforming additive manufacturing.
4 minutes read
Event-based computing is transforming AI processing, delivering smarter, faster, and hyper-efficient solutions across industries like IoT, healthcare, and automotive.
The Edge AI industry is at a turning point with big shots investing heavily. Now is the time to define best practices, share experiences and crowdsource high quality data. Who will be taking the lead in guiding the industry forward?
2 minutes read
