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Mechanical engineering researchers are using AI and machine learning technologies to enhance the products we use in everyday life.

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Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).

A smart car that can read brain signals

Engineers Wiki. Most Asked Questions.

This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!

ORGANIZATIONS. SHAPING THE INDUSTRY.

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EPFL

University

Located in Switzerland, EPFL is one of Europe’s most vibrant and cosmopolitan science and technology institutions. EPFL is Europe...

56 Posts

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Photoneo

Industrial Automation

Photoneo develops industrial 3D vision, robotic intelligence software, and ...

54 Posts

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High Tech Campus Eindhoven

High Tech

High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...

49 Posts

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Xsens

Appliances, Electrical, and Electronics Manufacturing

Xsens digitizes movement.

47 Posts

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ETH Zurich

University for science and technology

Freedom and individual responsibility, entrepreneurial spirit and open-​min...

43 Posts

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Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).

A smart car that can read brain signals

Over the last decade or so, the world of AI has been obsessed with the problem of pattern recognition — Ask any budding engineer “Give me an algorithm to find X in an environment Y”, and expect to hear the words, “Give me T examples in environment Y, and I will predict X with so much accuracy”.

Why Does Machine Learning Require So Much Training Data?

New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.

Neural networks everywhere

Thanks to software developed bicycle engineers can quickly calculate the most aerodynamic shape for a bike. The software applies artificial intelligence to a set of user-defined specifications. Engineers have used the program to design a bike that they hope will break the world speed record.

Artificial intelligence helps design an ultra-aerodynamic bike