The technology challenges and progress for Artificial Intelligence
DIPC Seminars
- Speaker
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Christophe Rossel, IBM Research-Zurich Laboratory, Switzerland
- When
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2019/05/09
14:00 - Place
- Donostia International Physics Center
- Add to calendar
-
iCal
The world is excellent at creating huge amount of data. This is one of the
reasons why we need technologies like Artificial Intelligence (AI), Machine
Learning based on deep neural networks to make sense of these data. In a deep
neural network the machine is built from millions of elementary units, or
artificial ‘neurons’ that somewhat mimic the activity of the neurons in
the brain. Today analog computing such as neuromorphic computing using non-
volatile memories is looking beyond digital computing to get around the so-
called von Neumann bottleneck. IBM Research is advancing hardware beyond
traditional CMOS to see how far we can push performance. This hardware
exploits the storage capability and physical attributes of phase-change memory
(PCM) devices arranged in crossbar configuration. Some simple demonstrations
with analog AI chip are available online.
Host: Ricardo Diez Muino