Imec chip composes music
- 著者:Ella Cai
- 公開：:2017-05-18
Imec says it has made the world’s first self-learning neuromorphic chip with the ability to teach itself and compose music.
Imec’s ultimate goal is to design the process technology and building blocks to make artificial intelligence to be so energy efficient that it can be integrated into sensors.
Putting machine learning capability in sensors will drive the IoT and allow on-field learning.
The chip is self-learning, meaning that is makes associations between what it has experienced and what it experiences. The more it experiences, the stronger the connections will be.
The chip presented today has learned to compose new music and the rules for the composition are learnt on the fly.
It is Imec’s ultimate goal to further advance both hardware and software to achieve very low-power, high-performance, low-cost and highly miniaturized neuromorphic chips that can be applied in many domains ranging for personal health, energy, traffic management etc.
For example, neuromorphic chips integrated into sensors for health monitoring would enable to identify a particular heartrate change that could lead to heart abnormalities, and would learn to recognize slightly different ECG patterns that vary between individuals. Such neuromorphic chips would thus enable more customized and patient-centric monitoring.
“Because we have hardware, system design and software expertise under one roof, imec is ideally positioned to drive neuromorphic computing forward,” says Imec’s Praveen Raghavan, “our chip has evolved from co-optimizing logic, memory, algorithms and system in a holistic way. This way, we succeeded in developing the building blocks for such a self-learning system.”
Imec’s ultimate goal is to design the process technology and building blocks to make artificial intelligence to be so energy efficient that it can be integrated into sensors.
Putting machine learning capability in sensors will drive the IoT and allow on-field learning.
The chip is self-learning, meaning that is makes associations between what it has experienced and what it experiences. The more it experiences, the stronger the connections will be.
The chip presented today has learned to compose new music and the rules for the composition are learnt on the fly.
It is Imec’s ultimate goal to further advance both hardware and software to achieve very low-power, high-performance, low-cost and highly miniaturized neuromorphic chips that can be applied in many domains ranging for personal health, energy, traffic management etc.
For example, neuromorphic chips integrated into sensors for health monitoring would enable to identify a particular heartrate change that could lead to heart abnormalities, and would learn to recognize slightly different ECG patterns that vary between individuals. Such neuromorphic chips would thus enable more customized and patient-centric monitoring.
“Because we have hardware, system design and software expertise under one roof, imec is ideally positioned to drive neuromorphic computing forward,” says Imec’s Praveen Raghavan, “our chip has evolved from co-optimizing logic, memory, algorithms and system in a holistic way. This way, we succeeded in developing the building blocks for such a self-learning system.”
