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ENTITY Automated Software Engineering

Automated Software Engineering

PulseAugur coverage of Automated Software Engineering — every cluster mentioning Automated Software Engineering across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 10 TOTAL
  1. TOOL · CL_196341 ·

    AI Agents Launched to Discover New Semiconductor Materials

    Discovered Materials, a Y Combinator-backed startup, has launched an AI agent system designed to discover novel crystalline materials for semiconductor manufacturing. The system utilizes a suite of tools, including web …

  2. TOOL · CL_196157 ·

    New digital twin model enhances optical network modeling accuracy

    Researchers have developed a link-adaptive digital twin (LA-DT) to improve physical-layer modeling in hybrid-amplified ultra-wideband optical networks. This new model addresses limitations in generalization and speed, o…

  3. SIGNIFICANT · CL_186361 ·

    Semiconductor test demand surges, suppliers revise market estimates upwards · 6 sources tracked

    The semiconductor test equipment market is experiencing a surge in demand, driven by both System on a Chip (SoC) and memory sectors. Major suppliers like Teradyne and Advantest are revising their market size estimates u…

  4. SIGNIFICANT · CL_160036 ·

    TYLsemi emerges with $43M to simplify custom AI chiplet development

    TYLsemi, a new semiconductor firm, has emerged from stealth with $43 million in early-stage funding. The company aims to simplify the development of custom processors, particularly for AI infrastructure, by offering reu…

  5. TOOL · CL_117891 ·

    New Atompack format accelerates atomistic ML dataset training

    Researchers have developed Atompack, a new storage and distribution layer specifically designed for atomistic machine learning training datasets. This format is optimized for the common workload of repeatedly reading sh…

  6. TOOL · CL_126262 ·

    Atompack storage format accelerates atomistic ML training data reads

    Researchers have developed Atompack, a new storage format and distribution layer specifically designed for atomistic machine learning training datasets. This format optimizes for read-heavy workloads where training pipe…

  7. RESEARCH · CL_107935 ·

    New training-free methods advance cross-domain few-shot segmentation · 5 sources tracked

    Researchers have developed two novel approaches to Cross-domain Few-shot Segmentation (CD-FSS) that eliminate the need for training or fine-tuning, thereby reducing computational costs and preventing overfitting. One me…

  8. TOOL · CL_104707 ·

    New SciVerseGym environment standardizes AI-driven crystal discovery

    Researchers have developed SciVerseGym, a new environment compatible with Gymnasium that frames crystal discovery as a Markov decision process. This platform allows agents to interact with atomistic structures, apply ed…

  9. SIGNIFICANT · CL_34121 ·

    AEM and ASE partner for AI/HPC testing, ASE invests S$12M

    AEM and ASE have formed a strategic partnership to enhance testing solutions for artificial intelligence and high-performance computing. As part of this collaboration, ASE is investing S$12 million into AEM. This allian…

  10. SIGNIFICANT · CL_30301 ·

    Chip packagers shift to advanced tech, leaving legacy to China

    Semiconductor packaging companies like ASE and Amkor are shifting from low-margin, commoditized assembly to high-margin advanced packaging crucial for AI and HPC applications. This strategic move involves significant in…