Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Various simulation-based studies have shown that ML-based feedback compression can result in reduced overhead and more accurate channel information. However, to the best of our knowledge, there are no real-life proofs of concepts demonstrating the benefits of ML-based channel feedback compression in a practical setting, where the user equipment (UE) and base station have no access to each others' ML models. In this paper, we present a novel approach for training interoperable compression and decompression ML models in a confidential manner, and demonstrate the accuracy of the ensuing models using prototype UEs and base stations. The performance of the ML-based channel feedback is measured both in terms of the accuracy of the reconstructed channel information and achieved downlink throughput gains when using the channel information for beamforming. The reported measurement results demonstrate that it is possible to develop an accurate ML-based channel feedback link without having to share ML models between device and network vendors. These results pave the way for a practical implementation of ML-based channel feedback in commercial 6G networks.

The Open Source Robotics Foundation (OSRF) is pleased to announce the creation of the Open Source Robotics Alliance (OSRA), a new initiative to strengthen the governance of our open-source robotics software projects and ensure the health of the Robot Operating System (ROS) Suite community for many years to come. The OSRA will use a mixed membership and meritocratic model, following other successful foundations for open-source projects, including The Linux Foundation and the Eclipse Foundation. The OSRA is extending an open invitation to all community stakeholders to participate in the technical oversight, direction, development, and support of the OSRF's open source projects – ROS, Gazebo, Open-RMF, and their infrastructure. Involvement across the robotics ecosystem is crucial to this initiative. The center of the OSRA will be the Technical Governance Committee (TGC), which will oversee the activities of various Project Management Committees, Technical Committees, Special Interest Groups, and Working Groups.

When classrooms and conference rooms abruptly moved online three years ago, we all experienced moments of technical frustration. Whether dealing with connectivity issues or clumsy virtual interactions, which were sometimes accompanied by awkward background noises, we persisted. Fortunately, the education sector had time to smooth out some of these wrinkles, especially with improved connectivity and advancing technology such as artificial intelligence (AI). Having seen such positive changes firsthand, Elliott Levine, director of worldwide public sector and education at Qualcomm Technologies, Inc. is excited about the newest technologies and their impact on the learning experience. Before transitioning to EdTech, Levine enjoyed 30 years working in various positions in K-12 and higher ed.

Thinking about artificial intelligence (AI) infrastructure can feel a bit like finding your way through a maze – winding your way from data collection to solution development, to creating value through new insights, equipped with the right servers, compute, and storage to help you on your way. When designing infrastructure for your AI solutions, a helpful way to navigate the maze of choices is to begin with your end-to-end workflow – from data generation to solution deployment and value creation. Considering your requirements at each stage can make it easier to select the right infrastructure for your needs. We at HPE can help along this journey by offering a broad portfolio of choices in servers and storage so that you can optimize your deployments – from data center to edge. The latest choice comes in the form of the first product server from HPE based on a specialized AI processor: the HPE Edgeline EL8000 platform with the Qualcomm Cloud AI 100 accelerator.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Qulacomm said it is launching new platform support for advanced robotics products, 5G wireless networking and edge-AI applications. The company unveiled the Qualcomm Robotics solutions at its annual Qualcomm 5G Summit event as it recognizes the ways in which 5G is proliferating beyond smartphones. The San Diego, California-based company took the wraps off its Qualcomm Robotics RB6 Platform and the Qualcomm RB5AMR reference design, which can be used to build advanced edge-AI and robotics products using Qualcomm's chips. The solutions will help unlock new commercial markets for autonomous mobile robots, delivery robots, highly automated manufacturing robots, collaborative robots, unmanned aircraft, industrial drone infrastructure, autonomous defense solutions and beyond.

Samsung Electronics today announced that its 14-nanometer (nm) based 16-gigabit (Gb) Low Power Double Data Rate 5X (LPDDR5X) DRAM has been validated for use on Qualcomm Technologies' Snapdragon mobile platforms. Samsung, when it launched the DRAM last November had claimed it to be an industry-first, and expected it to come in handy for use in smart phones and mobile devices. Since then Samsung is said to have collaborated with Qualcomm Technologies to optimise the 7.5 gigabit-per-second (Gbps) LPDDR5X for use with Snapdragon mobile platforms. The DRAM is expected to help in high-speed data service applications including 5G, artificial intelligence (AI) and the metaverse. "Qualcomm Technologies is an industry leader in enabling and adopting the latest LPDDR DRAM specifications. Enablement of LPDDR5X on Snapdragon platforms will enhance user experiences with new features and improved performance for gaming, camera and applications using our latest AI Engine across various Qualcomm Technologies' product lines," Ziad Asghar, Vice President of Product Management, Qualcomm Technologies, was quoted as saying in a press statement from Samsung.

Qualcomm has launched Flight RB5 5G, the "world's first" autonomous drone platform with 5G and AI capabilities. The company says the platform will support and accelerate the development and deployment of autonomous drones for commercial, enterprise, and industrial purposes. An onboard Qualcomm Secure Processing Unit achieves the modern cybersecurity requirements for drones. "We have continued to engage many leading drone companies, enabling 200 global robotics and drone ecosystem members in addition to consistently driving and promoting worldwide drone standardization and transformative 5G capabilities in organisations such as 3GPP, GSMA, the Global UTM Alliance, the Aerial Connectivity Joint Initiative (ACJA) and ASTM. We are proud to continue our momentum of enabling the digital transformation of global industries by unveiling the Qualcomm Flight RB5 5G Platform, a solution that is purpose-built for drone development with enhanced autonomy and intelligence features, bringing premium connected flight capabilities to industrial, enterprise and commercial segments."

Robotics has become an essential part of many heavy sectors including manufacturing, automobile, and aerospace etc. Plus, we have seen in COVID-19 pandemic that robots are being used to take care of patients in hospitals or serve consumers at hotels/restaurants. These instances are indicating that existence of robots is not our future anymore; it is our present. To make robots a part of our everyday life, its developers require an accessible platform upon which they can design the robots. Misty Robotics is a company behind Misty, a robot platform purpose-built for developers. Misty Robotics was facing challenges to co-create an open-platform robot that will be able to perform human-like tasks with a personality as well as perception abilities.

New York, December 30, 2019: The global Artificial Intelligence Platform market is segregated on the basis of Component as Tools and Services. Based on Deployment the global Artificial Intelligence Platform market is segmented in Cloud and On-Premises. Based on End-User Industry the global Artificial Intelligence Platform market is segmented in Manufacturing, Healthcare, BFSI, Research and Academia, Transportation, Retail and Ecommerce, and Others. The global Artificial Intelligence Platform market is expected to exceed more than US$ 10.8 Billion by 2024, at a CAGR of more than 28% in the given forecast period. The global Artificial Intelligence Platform market report provides geographic analysis covering regions, such as North America, Europe, Asia-Pacific, and Rest of the World.

TCS in collaboration with Qualcomm has announced today the launch of Innovation Hub in Hyderabad, India. With 5G technology, users can experience low latency while dealing with cloud computing, highly responsive multiplayer gaming, immersive 360-degree video, and instant apps, etc. The 5G speed will make such tracking almost instantaneous. Such a tremendous amount of data can be gathered and directed at machine learning and AI (Artificial Intelligence) algorithms delivering crucial insights to make intelligent decisions. Executive Opinion Global Head, Technology Business Unit, TCS, V Rajanna, said, "The convergence of 5G, AI and edge computing will open unprecedented opportunities for value creation in industrial automation, autonomous vehicles and other industries. The new Innovation Hub brings together TCS' and Qualcomm Technologies' world-class technology expertise to unlock the potential of transformational solutions in this emerging space to help global enterprises explore the art of the possible and accelerate their Business 4.0 journeys."