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The Fraunhofer Institute for Factory Operation and Automation IFF (Fraunhofer IFF) is working to overcome challenges to e-waste disposal.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.
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ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.
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.
14 minutes read.
TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
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The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
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ETH Zurich
University for science and technology
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 Fraunhofer Institute for Factory Operation and Automation IFF (Fraunhofer IFF) is working to overcome challenges to e-waste disposal.
EPFL researchers have developed the first AI model of language in the brain that captures both how neurons are arranged and how they function.
3 minutes read
ETH Zurich researchers have developed a method that makes AI responses increasingly reliable. Their algorithm specifically selects data relevant to the question. In addition, even AI models up to 40 times smaller achieve the same output performance as the best large AI models.
4 minutes read
A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.
The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.
What’s particularly exciting is not just that Gen AI can write code – it’s that it’s beginning to understand context, reduce time spent on boilerplate, and support developers where they work best: in the flow of creation.
3 minutes read
“InteRecon” enables users to capture items in a mobile app and reconstruct their interactive features in mixed reality. The tool could assist in education, medical environments, museums, and more.
Ambiq’s ultra-low-power edge AI technology is pushing health monitoring by enabling always-on, intelligent wearable devices that track vital signs in real time without relying on cloud connectivity.
New apps for cancer patients, cannabis users, others make use of algorithms that continually customize support
3 minutes read
Healthcare is facing a critical workforce shortage, with AI emerging as a key tool to support clinicians by improving diagnostics, treatment planning, and efficiency without replacing human expertise.
EPFL researchers developed a ground-breaking new tool to help build safer AI.
4 minutes read
This article covers advanced architectural patterns, performance optimisation strategies, and critical operational considerations for building production-grade AI infrastructure systems!
Researchers at EPFL’s Neuroengineering Laboratory, led by Pavan Ramdya, aim to replicate the workings of the brain of the common fruit fly, Drosophila melanogaster. We spoke with Ramdya about the exciting prospects for robotics.
Claire Najjuuko, Chenyang Lu, Fred Ssewamala use AI to target interventions to improve compliance
4 minutes read
A nuclear engineering graduate student is researching how generative artificial intelligence can speed up nuclear science research.
4 minutes read
