Articles tagged with "Robotics and AI"

The Ottawa chapter of Construction Specifications Canada (CSC) is organizing an event titled 'AI in AEC: From Promise to Practice' to address the impact of AI on the construction and design industry. Scheduled for November 26 at Algonquin College, the event will feature a panel of five industry and policy experts. The focus will be on discussing the transformative potential of AI in architecture, engineering, and construction (AEC).

Hive Digital Technologies has purchased a data center in Toronto through its subsidiary Fuel Buzz for $17.25 million in cash and shares. The facility will be upgraded to tier one standards, expanding Buzz's Canadian presence in high-performance computing and AI. This purchase aligns with Buzz's partnership with Bell Canada and demonstrates Hive's strategy to transform former Bitcoin mining facilities into AI-ready infrastructure. Hive, originally from Vancouver, emphasizes its commitment to advancing its data center portfolio in Canada.

Bruce Power's Life-Extension Program and Major Component Replacement Project are advancing successfully with Unit 4 reaching a key milestone in its refurbishment process. This project involves the removal and replacement of major CANDU reactor components to enhance Ontario's clean energy supply. The initiative is a significant part of Canada's largest private-sector investment in nuclear infrastructure, aimed to be completed by 2033. The success of the Unit 4 project has included record-breaking achievements and the use of innovative robotic tooling to ensure safety and efficiency.

The article highlights the productivity challenge facing Canada, which lags behind other countries. It mentions ideas proposed by the Bank of Canada to improve productivity, such as saving 5 work hours per month per small business. Automation and AI in companies like Dr.'s Choice Optical and others have helped increase output significantly. However, there are still barriers, including investment and regulatory challenges, that hinder productivity growth.

Toronto is implementing AI-powered traffic lights to reduce road congestion, adapting signal durations based on real-time traffic conditions, bus presence, pedestrians, and cyclists. These smart signals have shown to be particularly effective in suburban areas, enhancing traffic flow and safety. However, experts warn that AI technology alone will not solve the city's congestion problem, which stems from a structural imbalance between road capacity and vehicle demand. A holistic approach, combining technology, infrastructure development, and behavioral changes, is necessary to address the issue fully.