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An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response5h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training5h◆Large language model and reinforcement learning based autonomous construction and progress updates5h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring5h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution5h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing5h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning5h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System5h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability5h◆Physical AI: Concepts, Techniques, and Challenges5h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems5h◆A general-purpose System One decision model for clinical records5h◆EDMA: Entropy-Driven Multimodal Answering5h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations5h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation5h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders5h◆Unified Sharp Bounds on Probabilities of Causation5h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions5h◆Harness Self-Evolution for Long-Horizon Terminal Agents5h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation5h◆An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response5h◆Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training5h◆Large language model and reinforcement learning based autonomous construction and progress updates5h◆MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring5h◆DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution5h◆Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing5h◆MAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning5h◆LightCRS: Lightweight Multi-Domain Conversational Recommendation System5h◆When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability5h◆Physical AI: Concepts, Techniques, and Challenges5h◆ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems5h◆A general-purpose System One decision model for clinical records5h◆EDMA: Entropy-Driven Multimodal Answering5h◆Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations5h◆TEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation5h◆When PTQ Calibration Helps or Hurts: Dose-Driven Collapse and Validation-Gated Abstention in Quantized Text Embedders5h◆Unified Sharp Bounds on Probabilities of Causation5h◆ProMemAgent: Long-Horizon Proactive Assistance with Context-Aware Prospective Memory from Sensory Perceptions5h◆Harness Self-Evolution for Long-Horizon Terminal Agents5h◆Ask to Distill: Learning to Synthesize Data for On-Policy Distillation5h◆
News/Google releases three new Gemini models — but no 3.5 Pro
techcrunch
PublishedJuly 21, 2026 at 5:11 PM
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Google releases three new Gemini models — but no 3.5 Pro

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Google released Gemini 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber, but the continued absence of Gemini 3.5 Pro raises fresh questions about its AI strategy.

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