Uber expanded its partnership with AWS to develop generative AI capabilities, enhancing logistics and customer experience. This move highlights opportunities for AECM professionals to adopt cloud AI tools for project optimization and predictive maintenance.
AI tools like Alibaba’s Accio are revolutionizing product sourcing for small manufacturers, accelerating time-to-market and streamlining supply chains.
Mustafa Suleyman forecasts a 1000x increase in AI compute power by 2028, driven by hardware and software advances. This will accelerate AI adoption in AECM sectors, enabling faster, cheaper, and more powerful design and construction tools.
AGIBOT's Genie Sim 3.0 platform integrates environment generation, simulation, and evaluation to accelerate embodied AI development with high-fidelity data and scalable reinforcement learning, offering AECM professionals a robust tool for robotics deployment.
The International Federation of Robotics reports a significant increase in robot density across Europe, North America, and Asia in 2024, driven by automotive and manufacturing sectors. This trend impacts factory design and automation integration for AECM professionals.
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.
