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Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Salesforce Acquires Customer Service AI Firm Fin for $3.6 Billion Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Sensor-Conditioned Representation Learning Uses Scene-Relevant Observation Quotients to Improve Latent Geometry OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics Commodore Callback 8020 Brings Digital Detox With Modern Apps and Retro Design PreLort: Prefix-Nested LoRA Enables Federated Fine-Tuning Across Heterogeneous Hardware Ranks Research Shows 'Retrieve, Don't Retrain' Approach Cuts AI Model Adaptation Costs Multi-Modal Attention Model Achieves 94.9% Accuracy in Automated Disaster Damage Classification Using Satellite Imagery AdaSTORM Breakthrough Scales LLM Reasoning to Thousand-Node Dynamic Graphs, Paves Way for Supply Chain AI Finance survived the quantum threat by preparing early. Mythos won't make it so easy Salesforce Acquires Customer Service AI Firm Fin for $3.6 Billion Teacher-Student Domain Adaptation Boosts Ensemble Audio-Visual Deepfake Detection by Up to 18% Sensor-Conditioned Representation Learning Uses Scene-Relevant Observation Quotients to Improve Latent Geometry OmniTraffic Pipeline Enables Controlled Training of Spatio-Temporal Traffic AI for Logistics
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scalable

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MatchLM2Lite: Scalable MLLM-Lite Framework Cuts Reproduced Video Views by 2.5% Technology
Artificial Intelligence #ai#llms

MatchLM2Lite: Scalable MLLM-Lite Framework Cuts Reproduced Video Views by 2.5%

The paper presents MatchLM2Lite, a production-grade reproduced content identification system that distills a multimodal large language model into a compact student model. Deployed at scale, it reduced reproduced video views by 2.5% without hurting engagement, with 35x lower computational cost and latency under 30 seconds.

Jun 16, 2026 1 source
AnonShield: Scalable On-Premise Pseudonymization Cuts Vulnerability Data Processing from 92 Hours to Under 10 Minutes Technology
Cybersecurity #cybersecurity#pseudonymization

AnonShield: Scalable On-Premise Pseudonymization Cuts Vulnerability Data Processing from 92 Hours to Under 10 Minutes

AnonShield, a new pseudonymization system for CSIRT vulnerability data, achieves up to 738x speedup using GPU-accelerated NER and streaming processing. It enables compliant data sharing without sacrificing analytical utility, reducing processing time from over 92 hours to under 10 minutes on datasets up to 550 MB.

Jun 16, 2026 1 source
CHILLGuard: Fine-Grained Chinese LLM Safety Guardrail with Scalable Data and Preference Alignment Technology
Artificial Intelligence #ai safety#llm

CHILLGuard: Fine-Grained Chinese LLM Safety Guardrail with Scalable Data and Preference Alignment

Researchers introduce CHILLGuard, a dedicated Chinese LLM content safety guardrail featuring a 5-macro, 31-micro category risk taxonomy. The system uses a scalable multi-stage data construction pipeline to create the CHILLGuardTrain dataset (405,007 samples) and achieves a 15.92% F1 score improvement over Qwen3Guard-8B-Strict via Model-aware Direct Preference Optimization.

Jun 16, 2026 1 source