Putin Wanted AI Supremacy. Now Russia Is Struggling to Stay in the Race. - WSJ
Putin Wanted AI Supremacy. Now Russia Is Struggling to Stay in the Race. WSJ
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A Multi-head-based architecture for effective morphological tagging in Russian with open dictionary
arXiv:2604.02926v1 Announce Type: new Abstract: The article proposes a new architecture based on Multi-head attention to solve the problem of morphological tagging for the Russian language. The preprocessing of the word vectors includes splitting the words into subtokens, followed by a trained procedure for aggregating the vectors of the subtokens into vectors for tokens. This allows to support an open dictionary and analyze morphological features taking into account parts of words (prefixes, endings, etc.). The open dictionary allows in future to analyze words that are absent in the training dataset. The performed computational experiment on the SinTagRus and Taiga datasets shows that for some grammatical categories the proposed architecture gives accuracy 98-99% and above, which outperfo
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Beyond Predefined Schemas: TRACE-KG for Context-Enriched Knowledge Graphs from Complex Documents
arXiv:2604.03496v1 Announce Type: new Abstract: Knowledge graph construction typically relies either on predefined ontologies or on schema-free extraction. Ontology-driven pipelines enforce consistent typing but require costly schema design and maintenance, whereas schema-free methods often produce fragmented graphs with weak global organization, especially in long technical documents with dense, context-dependent information. We propose TRACE-KG (Text-dRiven schemA for Context-Enriched Knowledge Graphs), a multimodal framework that jointly constructs a context-enriched knowledge graph and an induced schema without assuming a predefined ontology. TRACE-KG captures conditional relations through structured qualifiers and organizes entities and relations using a data-driven schema that serves
The Indianapolis Data Center Shooting Is a Local Bug Report
If you’re building AI today, the indianapolis data center shooting is the incident your threat model is missing. Early on April 6, someone fired 13 rounds into Indianapolis councilor Ron Gibson’s front door while his 8‑year‑old son slept inside, then left a note reading “NO DATA CENTERS.” This happened days after Gibson backed rezoning for a Metrobloks data center in his district. Police haven’t confirmed motive, but the timing and the note are doing a lot of work. The non‑obvious part: this isn’t just “random political violence.” It’s the first loud bug report from a system where AI anxiety, local zoning fights, and invisible infrastructure all compile into one very physical attack surface. TL;DR The Indianapolis data center shooting turns abstract AI fears into a concrete target: the bui
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