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Candor Elevates PCB Fabrication Services with Continued Facility Upgrades

04/28/2025 | Candor Circuits
Ontario-based circuit board manufacturer, Candor Circuit Boards has recently completed a series of facility upgrades to improve their PCB offerings.  These investments will allow Candor to provide higher volumes of complicated boards more efficiently with better yield.  The new technology has allowed the company to take on exciting high technology projects and collaborations in industries such as Military and Aerospace, Medical, Energy and more.

Google Signs Taiwan’s First Corporate Geothermal Energy Deal in Asia-Pacific

04/23/2025 | I-Connect007 Editorial Team
Google announced that it has entered Taiwan’s first corporate geothermal power purchase agreement (PPA) with Baseload Capital to expand access to around-the-clock clean energy in the Asia-Pacific region and beyond.

TSMC Commits to Ambitious Carbon Reduction Path in Line with Science Based Targets Initiative

04/23/2025 | TSMC
TSMC marked Earth Day by announcing its commitment to the Science Based Targets Initiative (SBTi,) underscoring its dedication to addressing the pressing challenges of climate change. In line with SBTi, TSMC is collaborating with partners to achieve its environmental sustainability goals, embarking on an ambitious and comprehensive carbon reduction path encompassing direct, indirect and value chain emissions.

Hitachi Energy Boosts Pennsylvania Investments to Over $70 million to Meet Surging Demand for Sustainable Grid Infrastructure

04/21/2025 | Hitachi Energy
Hitachi Energy announced that it has increased its investments to more than $70 million USD in Pennsylvania. Originally announced in 2024 as part of a $155 million nationwide investment in U.S. manufacturing capacity.

IEEE Study Leverages Silicon Photonics for Scalable and Sustainable AI Hardware

04/14/2025 | PRNewswire
The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges.
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