News
19h
Arabian Post on MSNChina debuts first mixed-mode autonomous railway yard to boost logistics efficiencyYIWU, CHINA - Media OutReach Newswire - 1 July 2025 - China has launched its first railway container terminal with mixed-mode ...
RPM Industrial Rubber Parts announces the release of an extensive guide dedicated to rubber sandwich mounts, the critical ...
14h
Tech Xplore on MSNAmmonia: From fertilizer to energy source of the futureAmmonia has been traditionally known for fertilizer production. In the future, it could also play a key role in the Energy ...
Warehouses are getting smarter and more efficient. We talk to the people bringing the warehouse into the 21st century.
3h
Bangkok Post on MSNHitachi Energy Powers Thailand's Sustainable Energy FutureLimited is reinforcing its leadership in Thailand's clean energy transition by integrating future-ready technologies under One Hitachi to power a sustainable energy future. With digitalisation at its ...
However, as we move forward in 2025, companies’ ability to navigate workforce constraints, regulatory shifts, and economic ...
Opinion
18hOpinion
The Manila Times on MSNTop Urban Mobile Cities: Lessons for PH in designing a more mobile futureTHE Philippines can be fully interconnected with a system of bridges, waterways, and roads. This has been my vision since I was a student. In the global competition for livability, sustainability, and ...
The Senate passed President Donald Trump’s sweeping domestic policy bill after an overnight marathon voting session. Follow ...
In this episode of Today in Tech, host Keith Shaw interviews Chase Garbarino, co-founder and CEO of HqO, to explore how artificial intelligence, commercial real estate innovation, and digital ...
Blue Yonder's integrated AI platform is forcing organizational change across enterprise supply chains, the vendor claims - with customers discovering that cross-functional agents are breaking down ...
Efficient Federated Learning Via Low-Rank Gradient Compression for Intelligent Transportation System
Within the realm of intelligent transportation systems, be it for autonomous vehicles or other applications, the window of opportunity for executing distributed learning is constrained. Hence, the ...
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