#mldevcon Suchergebnisse
@Globalfoundries provides a projection for AI that is both encouraging and scary. #IoTDevCon #MLDevCon
@tiriasresearch projects a huge impact of machine learning and AI on new electronic platforms going forward. #IoTDevCon #MLDevCon
@tiriasresearch predicts significant changes in machine learning/AI to come with local learning and collective intelligence. #IoTDevCon #MLDevCon
Edge ML/AI solutions are taking multiple forms, but there are trade offs with each depending on power, form factor, and the workloads. There is no one-size-fits all for intelligent devices. @tiriasresearch #IoTDevCon #MLDevCon
Great presentations from @NXP on edge computing and @bessemerventure on the future of IoT at #IoTDevCon #MLDevCon
Chip engineers beware. A common theme at #MLDevCon is that the software is more important than the hardware.
2.5D packaging solution are being used to increase logic and memory configurations. @Globalfoundries #IoTDevCon #MLDevCon
3D packaging is the future to increase memory density and performance. @GLOBALFOUNDRIES #IoTDevCon #MLDevCon
Arm projects phenominal growth in #IoT, especially with Arm-based chips. #IoTDevCon #MLDevCon via @TekStrategist @arm @ArmEmbedded @Qualcomm_Tech
Venture funding for ML/AI more than quadrupled in 2017. #IoTDevCon #MLDevCon
See you in a few hours for the #MachineLearning Panel #MLDevCon
Great presentations from @NXP on edge computing and @bessemerventure on the future of IoT at #IoTDevCon #MLDevCon
Memory is so important to edge ML/AI and a significant source of power consumption that more AI chip designs are using in-mrmory computing. #MLDevCon
Going morning Santa Clara. Up next, day 2 if #IoTDevCon and #MLDevCon
Royal Academy of Engineering and Man Group establish Research Chair in Machine Learning: hedgeweek.com/2016/10/06/244… | #MLDevCon.com
@NXP predicts that the number of connected IoT devices will be 3x the world population in 2020. #IoTDevCon #MLDevCon
Going morning Santa Clara. Up next, day 2 if #IoTDevCon and #MLDevCon
Arm projects phenominal growth in #IoT, especially with Arm-based chips. #IoTDevCon #MLDevCon via @TekStrategist @arm @ArmEmbedded @Qualcomm_Tech
Memory is so important to edge ML/AI and a significant source of power consumption that more AI chip designs are using in-mrmory computing. #MLDevCon
Chip engineers beware. A common theme at #MLDevCon is that the software is more important than the hardware.
3D packaging is the future to increase memory density and performance. @GLOBALFOUNDRIES #IoTDevCon #MLDevCon
2.5D packaging solution are being used to increase logic and memory configurations. @Globalfoundries #IoTDevCon #MLDevCon
@Globalfoundries provides a projection for AI that is both encouraging and scary. #IoTDevCon #MLDevCon
See you in a few hours for the #MachineLearning Panel #MLDevCon
Great presentations from @NXP on edge computing and @bessemerventure on the future of IoT at #IoTDevCon #MLDevCon
Great presentations from @NXP on edge computing and @bessemerventure on the future of IoT at #IoTDevCon #MLDevCon
Venture funding for ML/AI more than quadrupled in 2017. #IoTDevCon #MLDevCon
@NXP predicts that the number of connected IoT devices will be 3x the world population in 2020. #IoTDevCon #MLDevCon
Edge ML/AI solutions are taking multiple forms, but there are trade offs with each depending on power, form factor, and the workloads. There is no one-size-fits all for intelligent devices. @tiriasresearch #IoTDevCon #MLDevCon
@tiriasresearch predicts significant changes in machine learning/AI to come with local learning and collective intelligence. #IoTDevCon #MLDevCon
@tiriasresearch projects a huge impact of machine learning and AI on new electronic platforms going forward. #IoTDevCon #MLDevCon
@tiriasresearch is pleased to be chairing the #IoTDevCon and #MLDevCon today and tomorrow at the Santa Clara Convention Center.
@Globalfoundries provides a projection for AI that is both encouraging and scary. #IoTDevCon #MLDevCon
@tiriasresearch projects a huge impact of machine learning and AI on new electronic platforms going forward. #IoTDevCon #MLDevCon
@tiriasresearch predicts significant changes in machine learning/AI to come with local learning and collective intelligence. #IoTDevCon #MLDevCon
2.5D packaging solution are being used to increase logic and memory configurations. @Globalfoundries #IoTDevCon #MLDevCon
Edge ML/AI solutions are taking multiple forms, but there are trade offs with each depending on power, form factor, and the workloads. There is no one-size-fits all for intelligent devices. @tiriasresearch #IoTDevCon #MLDevCon
Chip engineers beware. A common theme at #MLDevCon is that the software is more important than the hardware.
3D packaging is the future to increase memory density and performance. @GLOBALFOUNDRIES #IoTDevCon #MLDevCon
Great presentations from @NXP on edge computing and @bessemerventure on the future of IoT at #IoTDevCon #MLDevCon
Arm projects phenominal growth in #IoT, especially with Arm-based chips. #IoTDevCon #MLDevCon via @TekStrategist @arm @ArmEmbedded @Qualcomm_Tech
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