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HABER PAPER / NEWSROOM

World economy and business news — Page 19

Developments in the world economy, international trade, finance, energy, agriculture and food supply. Source-linked reporting appears in this section. Page 19.

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BusinessEvent / data period:

NTT-led Japanese group develops optical chiplet production methods for AI systems

NTT, NTT Innovative Devices, Japan Semiconductor, Furukawa Electric and Shinko Electric said a proposal led by NTT Innovative Devices was selected for a Japanese NEDO advanced-semiconductor programme. The project will develop manufacturing, testing and packaging methods for optical chiplets used to connect processors with light.

Source: NTT
1 min read

BusinessEvent / data period:

Preferred Networks and Tenstorrent selected for five-year AI processor research

Japan’s NEDO selected Preferred Networks and Tenstorrent for a joint xPU design project incorporating photonics-electronics integration. Their five-year research programme targets processor systems for training and inference across scientific, physical and agentic AI workloads.

Source: Preferred Networks
1 min readWith data

EconomyEvent / data period:

Saudi railways carried more than 40.9 million passengers in the third quarter

The Transport General Authority reported more than 40.9 million rail passengers, 3.9 million tonnes of freight and 46,300 containers in Q3 2026. Urban services accounted for most passenger journeys.

Source: Saudi Press Agency / Transport General Authority
1 min read

EnergySource review period:

UAE delegation discusses energy storage and electric mobility in China

The UAE Ministry of Energy and Infrastructure said on 20 October that a delegation led by Sharif Al Olama completed a five-day working visit to China. Mubadala, the Abu Dhabi Investment Office and AD Ports Group were represented.

Source: UAE Ministry of Energy and Infrastructure
1 min read

BusinessEvent / data period:

Researchers demonstrate superposed analog memory for neural-network vectors

A preprint describes an analog memory architecture that stores multiple high-dimensional vectors in superposed form, aiming to reduce the number of memory cells needed for neural-network weights and embeddings. The authors say they demonstrate vector storage and retrieval.

Source: arXiv
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