AtkinsRéalis and Nvidia are developing large-scale AI factories powered by nuclear energy to meet escalating AI infrastructure demands with enhanced resilience and sustainability.
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AtkinsRéalis and Nvidia are developing large-scale AI factories powered by nuclear energy to meet escalating AI infrastructure demands with enhanced resilience and sustainability.
Puget Systems expanded its server portfolio with eleven new 1U and 2U models featuring AMD and Intel CPUs, up to 24 drives, and GPU configurations supporting up to four Nvidia RTX PRO 6000 GPUs. This upgrade benefits AECM professionals by boosting compute and rendering capabilities for demanding pro
A new report reveals that inconsistent regulations and governance gaps are the main barriers to scaling public-facing robots, posing operational challenges for AECM professionals involved in urban and infrastructure projects.
OLogic CEO Ted Larson will share strategies for integrating hardware and software in robotics at the Robotics Summit & Expo, emphasizing early design collaboration to improve manufacturability and real-world performance.
HII partners with GrayMatter Robotics to implement physical AI in shipbuilding, advancing automation and manufacturing efficiency for large-scale projects.
Spanish startup Xoople raised $130 million to build AI-optimized satellites, aiming to launch its first constellation by 2025. This technology promises faster, real-time data for AI applications, benefiting AECM professionals through improved project monitoring and management.
Amazon's acquisition of Fauna Robotics accelerates development of practical humanoid robots, emphasizing developer usability and reliable integration over ambitious autonomy. Sprout’s design and control architecture offer a blueprint for industrial humanoid platforms in AECM operations.
SpaceX's plan to deploy up to 1 million orbital data centers aims to support AI growth sustainably, prompting new design and construction challenges for the AECM industry.
Agentic AI, promoted by Google Cloud, is enhancing AECM workflows by automating information processing and decision-making, promising faster and more accurate project delivery.
