Any 4-year old can pick a strawberry, but machines, for all their artificial intelligence, can’t seem to figure it out. Pitzer says the hardest thing for them is just finding the fruit. The berries hide behind leaves in unpredictable places.
Source: npr.org
Machine learning drives many aspects of people’s experience on Facebook. We use automatic language translation systems to remove communication barriers and enable people to interact with each other even if they speak different languages. Our image classification systems not only allow people to search for photos of their favorite moments, but also provide an immersive experience for the visually impaired with “talking images” that can be read with your fingertips.
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Deep neural networks are composed of many individual neurons, which combine in complex and counterintuitive ways to solve challenging tasks, ranging from machine translation to Go. This complexity grants neural networks their power but also earns them their reputation as confusing and opaque black boxes. Understanding how deep neural networks function is critical for explaining their decisions and enabling us to build more powerful systems.
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