Berlin-based new-space company PTScientists is taking you on a Mission to the Moon Working with key technology partners Audi and Vodafone, they aim to drive a pair of Audi lunar quattro rovers on the surface of the Moon, and re-visit the last place that humans set foot on the lunar surface during the Apollo 17 mission 45 years ago. After doing a 384,000 km trip from Earth to the Moon, their ALINA spacecraft will attempt to land safely on the lunar surface to deliver their two Audi Lunar quattro rovers and a range of scientific payloads. Once safely on the Moon, their pair of Audi Lunar quattro rovers will use their four-wheel drive capability to explore the harsh lunar environment to attempt to Drive 500m on the Moon also to test a new lunar communications architecture, with a Vodafone-provided LTE base-station allowing the rovers to transfer data to ALINA. They will attempt to send HD images to the Earth 48 years after the final human footprints were left on the Moon, they will return to the Apollo 17 landing site to capture the first high-resolution images of the original Lunar Roving Vehicle (while taking great care not to disturb the site).
The Arm Machine Learning processor provides up to 4.6 Trillions of Machine Learning Operations Per Second, as part of the Project Trillium, Arm’s Machine Learning (ML) platform, enables a new era of advanced, ultra-efficient inference at the edge with Programmable layer engines for future-proofing, Highly tuned for advanced geometry implementations, Specifically designed for ML and neural network (NN) capabilities, the architecture is versatile enough to scale to any device, from IoT to connected cars and servers.
Built from the ground up for optimal performance and efficiency, Project Trillium completes the Arm Heterogenous ML compute platform with the Arm ML processor, the second-generation Arm Object Detection (OD) processor and open-source Arm NN software.
The Arm Machine Learning processor consists of state-of-the-art optimized fixed-function engines that provide best-in-class performance within a constrained power envelope. Additional programmable layer engines support the execution of non-convolution layers, and the implementation of selected primitives and operators, along with future innovation and algorithm generation. The network control unit manages the overall execution and traversal of the network and the DMA moves data in and out of the main memory. Onboard memory allows central storage for weights and feature maps, thus reducing traffic to the external memory and therefore, power.
Sony launches their XZ2 and XZ2 Compact Smartphone (https://www.sonymobile.com/global-en/products/phones/xperia-xz2/) based on the Qualcomm Snapdragon 845 with 4K HDR video recording support. Featuring a 5.7" Full HD+ (2160x1080) HDR display (5" on XZ2 Compact), Dynamic Vibration System with powerful stereo speakers, Full HD 960fps slow motion, 19MP Motion Eye camera with memory-stacked image sensor. 4GB RAM, 64GB UFS internal memory.
MediaTek helio P60 is MediaTek's most powerful chipset yet, built on TSMC's 12nm FinFET production process, with MediaTek's CorePilot 4.0, featuring four ARM Cortex-A73 cores at 2.0GHz, four ARM Cortex-A53 cores at 2.0GHz in a big.LITTLE configuration, ARM Mali-G72 MP3 GPU clocked at 800MHz. They also provide a Multi-core AI processing unit (Mobile APU) with a 280GMAC/s performance for deep learning facial recognition, object and scene identification, user behavior-informed performance and other AI and AR application enhancements good for computer vision enhancements on the cameras such as Single or Dual Camera bokeh, Real-time HDR recording and viewing and more.