AI+AEC in News · AEC Magazine
Enscape 4.22 integrates Veras 2.0 more closely into the visualisation workflow, alongside new AI tools for design exploration and asset creation. Chaos has enhanced the integration between its Enscape real-time visualisation software and AI visualisation tool Veras 2.0, bringing AI-powered design exploration directly into the Enscape interface. The update aims to help architects incorporate AI more easily into their existing workflows, generate design variations and experiment with different materials and moods. Launching today as part of Enscape 4.22, the integration removes the need to bring up a separate Veras window, allowing architects to access AI rendering tools directly within Enscape. New AI video models also offer additional ways to visualise and communicate design ideas.
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CloudBrain helps architecture, engineering and construction firms in India turn developments like this into working tools. Related service:
BIM & data integrationIFC/DXF pipelines, data platforms and project dashboards.The headline and excerpt are from AEC Magazine, which owns them; CloudBrain is not affiliated with AEC Magazine. Read the original article (opens in a new tab) · All AI+AEC news
AEC Magazine ·
Trimble Connect platform introduces AI agents and automation to improve project coordination, manage risk and streamline workflows Trimble has embedded AI within Trimble Connect , expanding the platform beyond its traditional role as a common data environment (CDE) to connect site information with design, cost and operational workflows. The new capabilities are intended to help teams identify and mitigate risks across the project lifecycle, while keeping human judgement at the centre of decision-making. Unveiled at Trimble’s Dimensions User Conference, the AI capabilities span design, construction and project operations. In design, they include generating architectural options using live as-built point-cloud data, converting natural-language prompts into constructible structural models, and automatically classifying scanned point clouds into structural elements. For construction teams, applications include AI-powered diagnostics for machine-control systems, converting 360-degree site walk videos into 3D point clouds, and voice-driven site inspections that automatically transcribe observations and link them to project drawings.
AEC Magazine ·
UK-manufactured 2U Q-Power offers firms an on-premise alternative to premium cloud AI services G2 Digital, a UK specialist in custom-built rack-mount computers, has launched the 2U Q-Power, a high-performance GPU server designed for complex AI workloads and rendering. The system can accommodate up to four dual slot Nvidia RTX GPUs, offering twice the capacity of most conventional 2U servers and greater computing density within a rack. This is made possible by a custom chassis design that mounts the GPUs horizontally, parallel to the motherboard. When configured with four Nvidia RTX Pro 6000 Blackwell Max-Q GPUs, the Q-Power delivers 384 GB of combined GPU memory, enabling organisations to run demanding AI workloads entirely on-site. This includes large language models (LLMs) with 70 billion parameters at full precision, as well as significantly larger models using lower-precision formats and quantisation.
Archinect ·
Artificial intelligence companies are turning to architects and other AEC firms in search of data. As tech enterprises seek to build AI models and agents to perform industry-specific tasks, such as reviewing drawings and writing RFI responses, architecture firms are being approached by businesses offering money in return for access to private data. “Architects, have you seen this?” asked USC adjunct professor Simon Ha in a LinkedIn post . “This AI company is offering to pay six figures for your CAD files, including revisions and markups, to train AI models on how design work gets done.” Ha’s post included a screenshot of a social media post by a company, Nyne.ai, describing itself as “the data factory for AI,” which said, “You’ve got 3 years of CAD files doing nothing. We’ll pay you six figures for them.” “This raises serious questions about copyright and ownership of instruments of service,” Ha added.
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