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Learn why teams still lose half their development time to test and fix, and what changes when you get real visibility into the target.

Featured

Researchers at ITMO University have developed a new photoluminescence amplification method for silicon. The metasurface designed by the physicists can enhance silicon's ability to absorb and emit light by 10,000 times – at a record-low volume of the material.

Scientists Create the Smallest Silicon Light Source

Engineers Wiki. Most Asked Questions.

A single point of failure is any part whose failure stops the whole system. Learn how engineers find SPOFs with FMEA and fault trees, quantify them with reliability math, and remove them with N+1, 2N, failover, quorum, and voting designs, and why common cause failures can still defeat redundancy.

ORGANIZATIONS. SHAPING THE INDUSTRY.

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University of Michigan

Higher Education

Work together. Create smart machines. Serve society. University of Michigan’s Robotics Institute aims to create a collaborative c...

40 Posts

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Altair

Simulation

A global tech company providing software & cloud solutions in the areas of ...

16 Posts

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Keysight Test and Measurements

Test and Measurement equipment

Keysight Technologies, Inc. (NYSE: KEYS) is a leading technology company th...

11 Posts

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MistyWest

Engineering Design

An engineering design consultancy accelerating the world's transition to a ...

7 Posts

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Qoitech

Test & Measurement, Energy optimization, Battery

Disruptive tools and solutions for energy optimization of battery-driven an...

6 Posts

Latest Posts

This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure. Trained on the "Alps" supercomputer at the Swiss National Supercomputing Centre (CSCS), the new LLM marks a milestone in open-source AI and multilingual excellence.

A language model built for the public good

Article #2 of Confronting AI Series: AI can enhance decisions and refine processes, yet organizations are hesitant to integrate it. Boosting trust through education, clear policies, transparent models, and improved human-AI collaboration will encourage wider adoption.

The Paradox of AI Adoption: Why Trust Still Lags Behind Technology