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SHAPING THE INDUSTRY.

The Next Byte

Entertainment

The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...

165 Posts

EPFL

University

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

56 Posts

Photoneo

Industrial Automation

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

54 Posts

High Tech Campus Eindhoven

High Tech

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

49 Posts

ETH Zurich

University for science and technology

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

43 Posts

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TAGGED WITH machine learning

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.

Leveraging Open Set Detectors to Create a Custom Detector

TAGGED WITH computer vision

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.

Leveraging Open Set Detectors to Create a Custom Detector

Latest Posts

In this episode of the “This is Our Mission” podcast, Sean Hehir interviews Dr. Eric Gallo, a Senior Principal at Accenture Labs. They discuss the advantages of neuromorphic technology and its impact on edge computing, as well as advancements in SpaceTech.

BrainChip Podcast Epi 34: The State of Neuromorphic Computing

The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn “generalist” policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions.

Precision home robots learn with real-to-sim-to-real