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20. Paolo Pilia: CCS and TinyML: a promising duo
The COgITOR Readings Committee is releasing the presentations in form of podcasts to the broad audience.
Dr. Pilia proposes to couple together colloidal computing systems and tiny machine learning devices, an extremely promising set of devices featuring very limited energy consumptions and costs. His novel idea drafts a low cost device of the future, specifically conceived for edge computing.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
Dr. Pilia proposes to couple together colloidal computing systems and tiny machine learning devices, an extremely promising set of devices featuring very limited energy consumptions and costs. His novel idea drafts a low cost device of the future, specifically conceived for edge computing.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
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By Alessandro ChiolerioThe COgITOR Readings Committee is releasing the presentations in form of podcasts to the broad audience.
Dr. Pilia proposes to couple together colloidal computing systems and tiny machine learning devices, an extremely promising set of devices featuring very limited energy consumptions and costs. His novel idea drafts a low cost device of the future, specifically conceived for edge computing.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.
Dr. Pilia proposes to couple together colloidal computing systems and tiny machine learning devices, an extremely promising set of devices featuring very limited energy consumptions and costs. His novel idea drafts a low cost device of the future, specifically conceived for edge computing.
The COgITOR project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964388. This podcast reflects only the author's view and that the European Commission is not responsible for any use that may be made of the information it contains.