Amazon AR View Targets Android
Amazon has added its AR View augmented reality (AR) offering to Android devices on Google’s ARCore. Developers can create AR experiences in applications, games, and other apps. The feature runs from Amazon’s app icon. The offering was launched on Apple iOS in November for customers using ARKit. Amazon AR View supports 13 Android devices today.
SAP Leonardo Rolls Out Telecom Accelerator And Vehicle Solutions
SAP made two announcements at Mobile World Congress related to SAP Leonardo, the enterprise software giant’s innovation play on SAP’s cloud platform. The Leonardo accelerator package for telecom providers targets organizations making the digital transformation business model shift from average revenue per user (ARPU) to individual margin per user (IMPU). The accelerator packages predictive analytics, SAP Big Data Margin Assurance, machine learning, and the SAP Cloud Platform for customers.
SAP also announced an SAP Vehicles Network targeted as a standards based and services market place to trade mobility services across vehicles. Offerings for the trading network include payments, location based services, on-demand delivery serv ices, and other financial service and retail experiences. Key partners include Mastercard, HERE, and Postmates.
Constellation’s (POV): SAP’s Leonardo offering serves as the innovation arm for SAP bringing together exponential technologies such as big data, cloud, block chain, IOT, and machine learning to the SAP customer base. The platform continues to evolve with the goal of accelerating digital transformation for prospects and customers. Announcements at Mobile World Congress show that SAP plans to roll out new capabilities based on business opportunities beyond the SAP core and take an industry focus to innovation. Prospects and customers can expect SAP to leverage both it existing offerings and create new offerings as it co-innovates and co-creates with customers.
New MIT Chip Enables Mobile Neural Networks
MIT researchers Avishek Biswas and his thesis advisor Anantha Chandrakasan have developed a special purpose chip to drive down the power consumption of neural networks by 95% while increasing the speed of neural-network computations by three to seven times its predecessors. By implementing dot product functionality inside the memory, these chips no longer have to transfer data back and forth between memory and processor, thus reducing power consumption and increasing performance.
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