Accton sets August revenue record as AI networking demand surges

Accton Technology reported on September 7 that August consolidated revenue reached NT$40.873 billion, a record high and the first time the network equipment maker has exceeded NT$40 billion in monthly sales. The result was up 59.42% from the same period in 2025, while cumulative consolidated revenue through the end of August climbed to NT$246.004 billion, also a record for that period.

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Acer India tablet deal points to deeper push in Asia-Pacific

Acer has landed a nearly US$200 million tablet order from the state of Uttar Pradesh in India, underscoring the company’s growing public-sector business in one of its fastest-expanding markets. Acer Pan-Asia Pacific operations president Andrew Hou said India revenue exceeded US$700 million in 2025 and could top US$800 million in 2026 as the company moves closer to a US$1 billion revenue target.

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Analysis: Taiwan manufacturers face a deeper labor squeeze as AI boom pulls workers away

Taiwan’s traditional manufacturers are warning that the island’s growth story is widening a long-running labor gap, as semiconductor and AI server demand lifts the economy even as factories struggle to hire and retain skilled workers. In the auto supply chain, where smart vehicle electronics are increasingly essential, companies say the workforce shortage is becoming a structural risk.

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Silicon Valley goes physical: how San Jose is building an energy-rich, tariff-mitigated capital for physical AI

As the artificial intelligence revolution outgrows the digital cloud and demands physical form, a major structural transition is quietly reshaping Silicon Valley. While the region has long been celebrated as the world’s epicenter for software and venture capital, the massive compute, cooling, and mechanical requirements of robotics and physical AI are pulling tech’s center of gravity back to heavy industrial hardware.

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How UC Santa Cruz’s Silicon Valley lab is reverse-engineering the human brain to solve AI’s chip power crisis

As the global race for artificial intelligence (AI) consumes vast oceans of electricity and pushes modern utility grids to the brink, a team of California researchers is looking to biological neuroscience to build an entirely new class of energy-efficient microelectronics. Their objective is straightforward but radical: reverse-engineer the human brain to solve the semiconductor industry’s looming power and thermal bottlenecks.

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