LiDAR

Hyundai Motor Group and NVIDIA are expanding their partnership to build a large-scale โ€œphysical AIโ€ stack that fuses autonomous driving, smart factories, and robotics with national-scale infrastructure in Korea. The companies plan to stand up an AI factory built on 50,000 NVIDIA Blackwell GPUs to unify model training, validation, and
Wayveโ€™s end-to-end driving AI is now running in Nissan Ariya electric vehicles in Tokyo, marking a pragmatic step toward consumer deployment in 2027. The test vehicles combine a camera-first approach with radar and a lidar unit for redundancy, aligning with Japanโ€™s dense urban environment and complex traffic patterns. The initial
Automotive digitization now hinges on 5G's ability to deliver reliable, low-latency, and scalable connectivity that 4G/LTE cannot sustain for safety-critical use cases. Advanced driver assistance, cooperative perception, and remote operations require millisecond-class response and deterministic reliability across dense traffic conditions. 5G Standalone (SA) with Ultra-Reliable Low-Latency Communications (URLLC), improved positioning,
IMDEA Networks, with partners UC3M, UAM, and UPM, launches DISCO6Gโ€”an ambitious 6G project integrating real-time communication and environmental sensing. Led by Jess Omar Lacruz, the initiative focuses on ISAC systems, intelligent surfaces, AI-driven signal optimization, and non-invasive diagnostics to enhance healthcare, smart mobility, and autonomous systems.
RoboSense, a leader in AI-driven robotics, unveiled groundbreaking innovations at its 2025 "Hello Robot" Global Online Launch Event. Key highlights include a humanoid robotic prototype and three cutting-edge digital LiDAR products, revolutionizing automotive and robotics applications. RoboSense also introduced advanced components like the Papert 2.0 dexterous hand and Robo FSD

TeckNexus Newsletters

I acknowledge and agree to receive TeckNexus communications in line with the T&C and privacy policy.ย 

Whitepaper
Private cellular networks are transforming industrial operations, but securing private 5G, LTE, and CBRS infrastructure requires more than legacy IT/OT tools. This whitepaper by TeckNexus and sponsored by OneLayer outlines a 4-pillar framework to protect critical systems, offering clear guidance for evaluating security vendors, deploying zero trust, and integrating IT,...
Whitepaper
Telecom networks are facing unprecedented complexity with 5G, IoT, and cloud services. Traditional service assurance methods are becoming obsolete, making AI-driven, real-time analytics essential for competitive advantage. This independent industry whitepaper explores how DPUs, GPUs, and Generative AI (GenAI) are enabling predictive automation, reducing operational costs, and improving service quality....
Whitepaper
Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
Supermicro and Nvidia Logo
Scroll to Top

Private Network Security

4 Pillars for Securing Private 5G, LTE and CBRS Cellular Networks