AI & Development
In AI, technology, regulation and industry move at once, so watching only one of them loses the plot. Here we cover how generative models and large language models actually work, what the APIs and tools developers use really change, and when rules such as the EU AI Act start demanding what. We also follow the semiconductor and data-centre layer underneath, so you can judge whether a new announcement genuinely shifts the ground.
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Articles 5 #AI chips ×
From GPU-Centric to Memory-Centric: A Shift in the AI Chip Paradigm
The bottleneck in AI systems is shifting from computational performance alone to the ability to store and m...
2026-08-17 0 0
Cost per Token: The New Benchmark in AI Chip Competition
In the generative AI market, what matters is no longer just peak computing performance, but how cheaply tok...
2026-08-17 0 0
Japan's 2026 Growth Strategy Explained: Public-Private Investment Roadmap for 17 Strategic Fields
On July 21, 2026, the Japanese government finalized a growth strategy and public-private investment roadmap...
2026-08-05 0 0
Chairman Choi Tae-won’s View on Long-Term Holding of SK Hynix: The Key to AI Memory Demand and Investment Decisions
SK Chairman Choi Tae-won’s remarks regarding SK Hynix as a long-term holding are based on the view that the...
2026-07-21 0 0
The Investment Framework Beyond AI Semiconductors: How to View Data Centers, Circuit Boards, and Physical AI
The AI investment cycle could extend beyond blue-chip stocks like GPUs and HBM to include data centers, clo...
2026-07-20 0 0