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Quantum Computingβ€’β€’4 min readβ€’661 words

πŸ€– Quantum Computing - Scaling Superconducting Chip Fabrication

πŸ‘οΈ0reads (human + AI)πŸ€–0AI ingestions

πŸ€– Quantum Computing - Scaling Superconducting Chip Fabrication

This article discusses the SUPREME project, which aims to enhance the production of superconducting quantum chips in Europe, improving accessibility for researchers and industries.

Key Points:

β€’ Increased accessibility of advanced quantum hardware for researchers and industry.

β€’ Collaboration of 23 partners from 8 EU member states to develop key technologies.

β€’ Focus on scaling up superconducting quantum chip fabrication in Europe.

πŸ”— Resources:

β€’ QuantumDaily β†— - News and updates on quantum technologies


πŸš€ Large Language Models - DeepSeek-TNG-R1T2-Chimera

This article announces the release of DeepSeek-TNG-R1T2-Chimera, a text-generation model now available on OpenRouterAI.

Key Points:

β€’ Ranked as the #1 trending text-generation model on Hugging Face.

β€’ Accessible to all users via OpenRouterAI.

β€’ Provided by Chutes.AI.

πŸ”— Resources:

β€’ Hugging Face β†— - Hosting platform for machine learning models

β€’ OpenRouterAI β†— - AI model deployment platform

β€’ Chutes.AI β†— - Provider of the model

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πŸ’‘ Bitcoin - Whale Transfer and Quantum Fears

This article explores the potential connection between a large Bitcoin transfer and concerns about quantum computing.

Key Points:

β€’ $8.6 billion in Bitcoin moved from wallets last active in 2011.

β€’ Transfer from Satoshi-era wallets to modern SegWit addresses.

πŸ”— Resources:

β€’ QuantumDaily β†— - Source of the news

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πŸ€– Quantum Computing - Job Opening at Xanadu

This article announces a job opening for a quantum compilation researcher at Xanadu.

Key Points:

β€’ Opportunity to work on cutting-edge quantum algorithms.

β€’ Contribution to the development of a leading quantum computing software platform.

β€’ Collaboration with scientists and developers at Xanadu.

πŸ”— Resources:

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✨ Academic Achievement - PhD Dissertation Award

This article highlights the PhD Dissertation Award win by Aseem Baranwal.

Key Points:

β€’ Aseem Baranwal received the PhD Dissertation Award from the University of Waterloo.

β€’ His thesis focused on β€œStatistical Foundations for Learning on Graphs”.

β€’ He is the first PhD student graduated by the author.

πŸ”— Resources:

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πŸ€– Large Language Models - Continual Training (TiC-LM)

This article discusses TiC-LM, a research paper about continual learning for LLMs.

Key Points:

β€’ Addresses the cost and challenges of retraining LLMs from scratch.

β€’ Focuses on continual training with data revealed incrementally.

β€’ Presented at ACL 2025.

πŸ”— Resources:

β€’ ACL 2025 β†— - Conference where the research was presented

β€’ arXiv Preprint β†— - Research paper

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πŸ€– Artificial Intelligence - Exact Learning for General Intelligence

This article presents a position paper arguing for exact learning in LLMs to improve mathematical capabilities.

Key Points:

β€’ Argues that statistical learning may be insufficient for general intelligence.

β€’ Advocates for exact learning to enhance LLM mathematical capabilities.

β€’ Explores the limitations of statistical learning in achieving general intelligence.

πŸ”— Resources:

β€’ arXiv Preprint β†— - Research paper


πŸ€– Semiconductor Reliability - 18A Node Backside Power Reliability

This article discusses the reliability of 18A node backside power.

Key Points:

β€’ 0 fails in bake mode testing, indicating effective thermal design.

β€’ High reliability in HPC/AI applications despite minor performance decline after HTOL testing.

β€’ 99.5% of cells remained functional after HTOL testing.

πŸ”— Resources:

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πŸ€– Data and AI - Job Opportunities at DbrxMosaicAI

This article announces job openings in Data and AI at DbrxMosaicAI.

Key Points:

β€’ Openings for researchers and engineers.

β€’ Focus areas include document intelligence and knowledge assistance.

πŸ”— Resources:

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πŸ€– Trend Following Systems - Updated Research Paper

This article announces the updated draft of a research paper on trend-following systems.

Key Points:

β€’ Presents a unified approach to the design of trend-following systems.

β€’ Classifies trend-following systems into European, American, and Time Series Momentum systems.

πŸ”— Resources:

β€’ SSRN β†— - Research paper


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Drix10
Written by Drix10

Co founder @ PartPilot | 1 x Acquired Founder | Canopy @ f.inc | Cybersec @ DSU | 2x International Hackathon πŸ†. Read more on drix10.com.