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The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.

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If you’re unfamiliar with the term, GPS Waypoint Navigation is the ability to provide a robot with a set of GPS waypoints (i.e., a set of latitude / longitude pairs), and have the robot autonomously navigate from its current location to each of the defined waypoints.

A Better Solution For GPS Waypoint Navigation

ORGANIZATIONS. SHAPING THE INDUSTRY.

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EPFL

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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

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

If you’re unfamiliar with the term, GPS Waypoint Navigation is the ability to provide a robot with a set of GPS waypoints (i.e., a set of latitude / longitude pairs), and have the robot autonomously navigate from its current location to each of the defined waypoints.

A Better Solution For GPS Waypoint Navigation

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?