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0.rya75e1hgdMIT Neural Network Chip 0.v1

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

Featured

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

Neural networks everywhere

Engineers Wiki. Most Asked Questions.

ORGANIZATIONS. SHAPING THE INDUSTRY.

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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...

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EPFL

University

Located in Switzerland, EPFL is one of Europe’s most vibrant and cosmopolit...

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Photoneo

Industrial Automation

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

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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...

43 Posts

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.

The Rise of Intelligent EV Hardware

Latest Posts

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