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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