IBM and Arm announce strategic collaboration to create hybrid systems for AI workloads - Mezha
IBM and Arm announce strategic collaboration to create hybrid systems for AI workloads Mezha
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Microsoft partners with SoftBank and Sakura Internet to build AI data infrastructure in Japan, investing $10B over four years and training 1M AI engineers (Takashi Mochizuki/Bloomberg)
Takashi Mochizuki / Bloomberg : Microsoft partners with SoftBank and Sakura Internet to build AI data infrastructure in Japan, investing $10B over four years and training 1M AI engineers Microsoft Corp. announced a four-year, $10 billion investment package in Japan, part of the US company's Asia-wide push to expand
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arXiv:2604.02278v1 Announce Type: new Abstract: Translating machine code into human-readable high-level languages is an open research problem in reverse engineering. Despite recent advancements in LLM-based decompilation to C, modern languages like Dart and Swift are unexplored. In this paper, we study the use of small specialized LLMs as an idiomatic decompiler for such languages. Additionally, we investigate the augmentation of training data using synthetic same-language examples, and compare it against adding human-written examples using related-language (Swift -> Dart). We apply CODEBLEU to evaluate the decompiled code readability and compile@k to measure the syntax correctness. Our experimental results show that on a 73-function Dart test dataset (representing diverse complexity level
Source Known Identifiers: A Three-Tier Identity System for Distributed Applications
arXiv:2604.00151v1 Announce Type: cross Abstract: Distributed applications need identifiers that satisfy storage efficiency, chronological sortability, origin metadata embedding, zero-lookup verifiability, confidentiality for external consumers, and multi-century addressability. Based on our literature survey, no existing scheme provides all six of these identifier properties within a unified system. This paper introduces Source Known Identifiers (SKIDs), a three-tier identity system that projects a single entity identity across trust boundaries, addressing all six properties. The first tier, Source Known ID (SKID), is a 64-bit signed integer embedding a timestamp with a 250-millisecond precision, application topology, and a per-entity-type sequence counter. It serves as the database prima
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