Intel’s first “neuromorphic” chip Loihi, designed to mimic the way a human brain learns and understands is now “fully functional”. In the fast developing world of AI chips Loihi is Intel’s effort, an area where Nvidia and start-ups like Graphcore are also attempting to stake a claim. In order to increase the efficiency of the system, the idea is that the processes involved in AI will be more complex and require more computing power and some of that can be moved to the chip.
As of other AI systems it “learns” over time and gets smarter. But it doesn’t require masses of training data to learn a process. Initial applications are most likely to be in robots and self-driving cars. The chip itself is conceived as modeled on the human brain or at least how we know it to work with pulses and spikes based around synapses, with different learning functions were taken by different parts of the chip.
The 49-qubit chip has improved thermal performance and reduced radio frequency interference, scalable interconnect for more signals to pass in and out of the chip and design to scale for quantum integrated circuitry.
Major tracks summoned are Artificial Intelligence, Artificial Neural Networks, Cognitive Computing, Bioinformatics, Autonomous Robots, Natural Language Processing, Computational Creativity, Self-Organizing Neural Network, Deep Learning, Ubiquitous Computing, Parallel Processing, Support Vector Machines, Cloud Computing.
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