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business #chip 📝 BlogAnalyzed: Jan 15, 2026 09:32

SpacemiT Secures $86M Series B to Advance RISC-V Chip Commercialization for AI and Edge Applications

Published:Jan 15, 2026 09:30

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1 min read

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Techmeme

Analysis

This funding round signals growing investor confidence in RISC-V architecture and its applicability to diverse edge and AI applications, particularly within the industrial and robotics sectors. SpacemiT's success also highlights the increasing competitiveness of Chinese chipmakers in the global market and their focus on specialized hardware solutions.

Key Takeaways

•SpacemiT, a Chinese chipmaker, raised ~$86M in a Series B funding round.
•The funding will accelerate commercialization and business expansion.
•The company's K1 chip is based on the RISC-V architecture and used in AI devices, robotics, and edge computing.

Reference

“Chinese chip company SpacemiT raised more than 600 million yuan ($86 million) in a fresh funding round to speed up commercialization of its products and expand its business.”

Permalink Techmeme

business #risc-v 📝 BlogAnalyzed: Jan 15, 2026 07:45

RISC-V AI Chip Startup, Innospace, Secures Hundreds of Millions in New Funding, Eyeing Cloud and Edge AI Applications

Published:Jan 15, 2026 07:30

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1 min read

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36氪

Analysis

Innospace's successful B-round funding highlights the growing investor confidence in RISC-V based AI chips. The company's focus on full-stack self-reliance, including CPU and AI cores, positions them to compete in a rapidly evolving market. However, the success will depend on their ability to scale production and secure market share against established players and other RISC-V startups.

Key Takeaways

•Innospace raised hundreds of millions of yuan in a Series B funding round.
•The company focuses on full-stack RISC-V AI chip development, targeting cloud and edge AI applications.
•Innospace's first-generation RISC-V AI chip has achieved 150,000 unit shipments.

Reference

“RISC-V will become the mainstream computing system of the next era, and it is a key opportunity for the country's computing chip to achieve overtaking.”

Permalink 36氪

Research Paper #Category Theory, Probability, Markov Categories 🔬 ResearchAnalyzed: Jan 3, 2026 17:13

Causal Markov Category with Kolmogorov Products

Published:Dec 30, 2025 18:58

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1 min read

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ArXiv

Analysis

This paper addresses a problem posed in a previous work (Fritz & Rischel) regarding the construction of a Markov category with specific properties: causality and the existence of Kolmogorov products. The authors provide an example where the deterministic subcategory is the category of Stone spaces, and the kernels are related to Kleisli arrows for the Radon monad. This contributes to the understanding of categorical probability and provides a concrete example satisfying the desired properties.

Key Takeaways

•Provides a concrete example of a causal Markov category with Kolmogorov products.
•The deterministic subcategory is the category of Stone spaces.
•The kernels are related to Kleisli arrows for the Radon monad.
•Explores the problem from two perspectives: pro-completions/Stone spaces and duality with Boolean algebras/effect algebras.

Reference

“The paper provides an example where the deterministic subcategory is the category of Stone spaces and the kernels correspond to a restricted class of Kleisli arrows for the Radon monad.”

Permalink ArXiv

Research #security 🔬 ResearchAnalyzed: Jan 4, 2026 09:08

Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide

Published:Dec 23, 2025 10:41

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1 min read

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ArXiv

Analysis

This article likely presents a research paper on the security analysis of a RISC-V processor core (CVA6) using power side-channel attacks. The focus is on analyzing the core at the Register Transfer Level (RTL) using a tool called VeriSide. This suggests an investigation into vulnerabilities related to power consumption patterns during the execution of instructions, potentially revealing sensitive information.

Key Takeaways

•Focus on power side-channel analysis.
•Targets the CVA6 RISC-V core.
•Utilizes VeriSide for RTL-level analysis.
•Aims to identify security vulnerabilities.

Reference

“The article is likely a technical paper, so specific quotes would depend on the paper's content. A potential quote might be related to the effectiveness of VeriSide or the specific vulnerabilities discovered.”

Permalink ArXiv

Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 12:00

PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference

Published:Dec 19, 2025 23:31

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1 min read

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ArXiv

Analysis

This article introduces PermuteV, a RISC-V core designed for secure edge AI inference. The focus is on side-channel resistance, which is crucial for protecting sensitive data during AI processing at the edge. The performance aspect suggests an attempt to balance security with efficiency, a common challenge in embedded systems.

Key Takeaways

•PermuteV is a RISC-V core.
•It is designed for secure edge AI inference.
•It focuses on side-channel resistance.

Reference

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Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 09:40

Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor

Published:Dec 15, 2025 19:52

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1 min read

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ArXiv

Analysis

This article likely presents a technical analysis of the timing characteristics of a RISC-V processor implemented on FPGAs and ASICs. The focus is on understanding the performance at the pipeline stage level. The research would be valuable for hardware designers and those interested in optimizing processor performance.

Key Takeaways

Reference

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Research #Verification 🔬 ResearchAnalyzed: Jan 10, 2026 11:01

Lyra: Hardware-Accelerated RISC-V Verification Using Generative Models

Published:Dec 15, 2025 18:59

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1 min read

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ArXiv

Analysis

This research introduces Lyra, a novel framework for verifying RISC-V processors leveraging hardware acceleration and generative model-based fuzzing. The integration of these techniques promises to improve the efficiency and effectiveness of processor verification, which is crucial for hardware design.

Key Takeaways

•Lyra combines hardware acceleration and generative models for RISC-V processor verification.
•The framework employs generative model-based fuzzing to find potential bugs.
•This approach aims to enhance the speed and thoroughness of processor validation.

Reference

“Lyra is a hardware-accelerated RISC-V verification framework with generative model-based processor fuzzing.”

Permalink ArXiv

Research #AI in Biology 📝 BlogAnalyzed: Dec 28, 2025 21:56

Biohub for Non-Biologists: Behind Priscilla Chan and Mark Zuckerberg's plan to cure all diseases

Published:Nov 13, 2025 19:46

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1 min read

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Latent Space

Analysis

The article highlights the Chan Zuckerberg Initiative's (CZI) ambitious goals in the realm of bio research, particularly their focus on leveraging AI. The acquisition of EvoScale, the establishment of a large GPU cluster, and the open-sourcing of a comprehensive human cell atlas are all significant steps. The article suggests a strong commitment to AI-driven solutions for biological challenges. The focus on the second decade implies a long-term vision and a sustained investment in this area. The article's brevity, however, leaves room for deeper analysis of the specific AI technologies being employed and the potential impact on disease treatment.

Key Takeaways

•CZI is heavily investing in AI-driven bio research.
•They are building significant infrastructure, including a large GPU cluster.
•Open-sourcing data, like the human cell atlas, is a key part of their strategy.

Reference

“The CZI has acquired EvoScale, established the first 10,000 GPU cluster for bio research, open sourced the largest atlas of human cell types, and gone all in on AI x Bio for its 2nd decade.”

Permalink Latent Space

Research #llm 👥 CommunityAnalyzed: Jan 4, 2026 09:28

Implementing Neural Networks on a "10-cent" RISC-V MCU

Published:Apr 26, 2024 09:03

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1 min read

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Hacker News

Analysis

This article likely discusses the feasibility and challenges of running neural networks on a very low-cost microcontroller. The focus would be on resource constraints (memory, processing power) and optimization techniques to make it possible. The use of RISC-V architecture suggests an interest in open-source hardware and potentially custom hardware acceleration.

Key Takeaways

•Demonstrates the potential of running AI on extremely low-cost hardware.
•Highlights the importance of optimization for resource-constrained environments.
•Showcases the capabilities of RISC-V architecture for AI applications.

Reference

“Without the full article, a specific quote is impossible. However, the article would likely contain technical details about the MCU, the neural network architecture, and performance metrics.”

Permalink Hacker News

Hardware #AI Hardware 👥 CommunityAnalyzed: Jan 3, 2026 16:57

SiFive Rolls Out RISC-V Cores Aimed at Generative AI and ML

Published:Oct 17, 2023 07:04

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1 min read

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Hacker News

Analysis

The article announces SiFive's new RISC-V cores specifically designed for generative AI and machine learning workloads. This suggests a focus on performance and efficiency for AI tasks, potentially challenging existing players in the AI hardware market. The use of RISC-V, an open-source instruction set architecture, is significant as it offers flexibility and customization options.

Key Takeaways

•SiFive is entering the AI hardware market with RISC-V cores.
•The cores are specifically designed for generative AI and machine learning.
•RISC-V's open-source nature allows for customization and potentially lower costs.

Reference

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Permalink Hacker News

Technology #Computer Architecture 📝 BlogAnalyzed: Dec 29, 2025 17:36

David Patterson: Computer Architecture and Data Storage

Published:Jun 27, 2020 19:20

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1 min read

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Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring David Patterson, a prominent figure in computer science. The discussion centers on Patterson's contributions to RISC processor architecture and RAID storage, technologies that have profoundly impacted modern computing. The episode delves into the evolution of computers, the inner workings of machines, and the design principles behind instruction sets. The podcast also touches upon performance metrics and the layers of abstraction in computer systems. The article highlights Patterson's influence as an educator and the importance of his book "Computer Architecture: A Quantitative Approach".

Key Takeaways

•David Patterson's work on RISC architecture and RAID storage has had a significant impact on modern computing.
•The podcast explores the inner workings of computers and the design principles behind instruction sets.
•The episode highlights the importance of computer architecture education.

Reference

“David Patterson is known for pioneering contributions to RISC processor architecture used by 99% of new chips today and for co-creating RAID storage.”

Permalink Lex Fridman Podcast

Research #llm 👥 CommunityAnalyzed: Jan 4, 2026 08:38

RISC-V Chip with Built-in Neural Networks

Published:Oct 8, 2018 17:05

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1 min read

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Hacker News

Analysis

The article highlights the development of a RISC-V chip with integrated neural network capabilities. This suggests advancements in hardware acceleration for AI tasks, potentially leading to more efficient and specialized processing for machine learning applications. The source, Hacker News, indicates a tech-focused audience, implying the article likely delves into technical details and implications for the tech community.

Key Takeaways

•Development of a RISC-V chip with built-in neural networks.
•Potential for improved hardware acceleration for AI tasks.
•Implications for more efficient machine learning processing.

Reference

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Permalink Hacker News

Research #llm 👥 CommunityAnalyzed: Jan 4, 2026 07:32

Leveraging RISC-V for AI and Machine Learning

Published:Dec 16, 2017 19:48

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1 min read

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Hacker News

Analysis

This article likely discusses the potential of the RISC-V instruction set architecture for accelerating AI and machine learning workloads. It would probably cover topics like the advantages of RISC-V (open-source, customizable), its suitability for specialized AI hardware, and potential performance benefits compared to existing architectures. The source, Hacker News, suggests a technical audience.

Key Takeaways

Reference

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Permalink Hacker News

SpacemiT Secures $86M Series B to Advance RISC-V Chip Commercialization for AI and Edge Applications

Analysis

Key Takeaways

RISC-V AI Chip Startup, Innospace, Secures Hundreds of Millions in New Funding, Eyeing Cloud and Edge AI Applications

Analysis

Key Takeaways

Causal Markov Category with Kolmogorov Products

Analysis

Key Takeaways

Power Side-Channel Analysis of the CVA6 RISC-V Core at the RTL Level Using VeriSide

Analysis

Key Takeaways

PermuteV: A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference

Analysis

Key Takeaways

Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor

Analysis

Key Takeaways

Lyra: Hardware-Accelerated RISC-V Verification Using Generative Models

Analysis

Key Takeaways

Biohub for Non-Biologists: Behind Priscilla Chan and Mark Zuckerberg's plan to cure all diseases

Analysis

Key Takeaways

Implementing Neural Networks on a "10-cent" RISC-V MCU

Analysis

Key Takeaways

SiFive Rolls Out RISC-V Cores Aimed at Generative AI and ML

Analysis

Key Takeaways

David Patterson: Computer Architecture and Data Storage

Analysis

Key Takeaways

RISC-V Chip with Built-in Neural Networks

Analysis

Key Takeaways

Leveraging RISC-V for AI and Machine Learning

Analysis

Key Takeaways

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