Top Tweets for #machinelearningcomputations

8 months ago

A #PhotonicProcessor that performs #MachineLearningComputations at the #SpeedOfLight: Classifying #WirelessSignals in a matter of nanoseconds & could give edge devices new capabilities for #RealTimeDataAnalysis. The #PhotonicChip is X 100 faster than the best digital alternative, while converging to about 95 percent accuracy in signal classification. It is also scalable & flexible, so it could be used for a variety of high-performance computing applications. The device could be especially useful in future #6G -#WirelessApplications, such as #CognitiveRadios that optimize data rates, by adapting wireless modulation formats to the changing wireless environment. It could also help #AutonomousVehicles make #SplitSecondReactions to environmental changes, or, enable #SmartPacemakers to continuously monitor the health of a patient’s heart. While state-of-the-art #DigitalRadioFrequencyDevices can perform #MachineLearningInference in a #Microseconds, #Optics can do it in #Nanoseconds or even #Picoseconds. @MIT https://t.co/zbTLnVIa5S

SustainHistory's tweet photo. A #PhotonicProcessor that performs #MachineLearningComputations at the #SpeedOfLight:

Classifying #WirelessSignals in a matter of nanoseconds
&
could give edge devices new capabilities for #RealTimeDataAnalysis.

The #PhotonicChip is X 100 faster than the best digital alternative, while converging to about 95 percent accuracy in signal classification.
It is also scalable & flexible, so it could be used for a variety of high-performance computing applications.

The device could be especially useful in future #6G -#WirelessApplications, such as #CognitiveRadios that optimize data rates,
by adapting wireless modulation formats to the changing wireless environment.

It could also help #AutonomousVehicles make #SplitSecondReactions to environmental changes,
or,
enable #SmartPacemakers to continuously monitor the health of a patient’s heart.

While state-of-the-art #DigitalRadioFrequencyDevices can perform #MachineLearningInference in a #Microseconds,

#Optics can do it in #Nanoseconds or even #Picoseconds.

@MIT

https://t.co/zbTLnVIa5S

955

New OhioLINK ETDs @OhioLINKstatus

over 6 years ago

Sharma, Sagar; Towards Data and Model Confidentiality in... #outsourcestorage #machinelearningcomputations https://t.co/t08rrRITzd

Top Tweets for #machinelearningcomputations

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