1 min read
EconomyEvent / data period:
Canadian consumers report higher long-term inflation expectations
The Bank of Canada’s October release links household price concerns to trade tensions and energy costs.
Source: Bank of Canada
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Artificial intelligence — Page 2
Artificial intelligence research, applications, data infrastructure and verified corporate announcements. Page 2.
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BusinessEvent / data period:
Dubai AI Red-Carpet corridor wins government project award
The biometric airport system was reported to clear passengers in under five seconds, according to results released with the award.
Source: Emirates News Agency (WAM)
1 min read
BusinessEvent / data period:
llm-d 1.0 launches as an open platform for distributed AI inference
Contributors announced version 1.0 of llm-d, an open-source project for deploying and scaling large language model inference across modern infrastructure. IBM says the project is governed by the Cloud Native Computing Foundation and was founded by Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA.
Source: IBM
1 min read
BusinessEvent / data period:
Micron backs Indium Corporation expansion for semiconductor materials in New York
Micron announced strategic funding to help Indium Corporation expand refining and manufacturing in Rome, New York, including a restart of domestic critical-minerals processing for advanced semiconductor manufacturing.
Source: Micron Technology
1 min read
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 read
BusinessEvent / data period:
Rocket One and VCU start one-year research on magnetic devices for AI chips
The sponsored-research agreement funds a one-year fabrication and testing programme for straintronic magnetic tunnel junction devices, which the parties say could inform energy-efficient AI hardware.
Source: Rocket One Inc.
1 min read
BusinessEvent / data period:
Socionext applies AI agent to physical design of a large 3nm chip
Socionext says it is extending agentic AI from front-end design tasks into physical design for a large-scale 3nm system-on-chip, using Cadence InnoStack AI Super Agent.
Source: Socionext
1 min read
BusinessEvent / data period:
UAE-France dialogue brings energy contracts and AI cooperation agreements
ADNOC Gas and Schneider Electric signed an MoU, while ADNOC Refining and Technip Energies signed two contracts at the Abu Dhabi event.
Source: Abu Dhabi Media Office
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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BusinessEvent / data period:
Superconducting neural chip processes fusion plasma signals at one million samples per second
Brookhaven, Princeton Plasma Physics Laboratory, DIII-D and Great Sky demonstrated a superconducting neural-network chip on plasma-control tasks. Two tasks used DIII-D data sampled at one million points per second; another used simulated data.
Source: Brookhaven National Laboratory
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BusinessEvent / data period:
CEMA-Router explores batch routing for cloud-edge language models
A preprint presents CEMA-Router, an infrastructure-aware method for routing batches of language-model inference requests across cloud and edge resources. The design considers differences in compute capacity, energy efficiency, network conditions and model quality.
Source: arXiv
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