Three eras of machine learning - A new paradigm

Simple rule-based algorithms have been used in the visual inspection market for many years, but as their limits have become more apparent, the need for more sophisticated software has grown.

Why the Conventional Deep Learning Model is Broken

The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the conventional deep learning model is broken and what the alternatives are.

Why the conventional deep learning model is broken

The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line.

The Next Big Step for AI? Understanding Video

Will Knight for MIT Technology Review: Perceiving dynamic actions could be a huge advance in how software makes sense of the world.

Test Drive Watson IoT in Factory Simulation

John Hitch for Industry Week: IBM's Watson IoT sees all and might even know it all. In a new simulation, you can feel what it likes to have it working for you.

Introducing Myriad X: Unleashing AI at the Edge

Remi El-Ouazzane for Intel: The First Vision Processing Unit with a Dedicated Neural Compute Engine will Give Devices the Ability to See, Understand and Interact with the World Around Them in Real Time

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Manufacturing and Automation - Featured Company

Fronius Perfect Welding

Fronius Perfect Welding

We aspire to produce more than just welding systems, which is why we are the innovation leader for arc welding and are constantly developing welding processes further. In addition to welding technology for robot applications, we offer solutions for manual gas shielded arc welding, for MIG/MAG, TIG, and MMA welding processes. We also implement automated, complete welding solutions tailored to customer requirements in the field of welding automation. After all, welding creates connections - between metals, between industries, and between people. Connected by the arc, by passion, by the beat of welding.