arXiv:2609.15011v1 Announce Type: new Abstract: Memory-augmented and tool-using agents expose exact private values when remote LLMs process retrieved…
Tag: AI
Salesforce Unveils AIforce Live Interface Layer at Dreamforce
Salesforce unveiled AIforce at Dreamforce on September 15, 2026, a live interface layer that brings the data, workflows, business logic, semantics,…
CoMem: Collective-Individual Memory Synergy for Evolutionary Multi-Agent Systems
arXiv:2609.15009v1 Announce Type: new Abstract: Designing effective memory mechanisms is crucial for advancing LLM-driven Multi-Agent Systems (MAS),…
Salesforce Debuts Koa Reasoning Model for Agentforce, Trained on Nemotron
Salesforce and NVIDIA on September 15, 2026 announced Koa, a CRM reasoning model for Salesforce’s Agentforce platform built by post-training NVIDIA’s…
Horizon-specific Expert Fusion for Photovoltaic Power Forecasting
arXiv:2609.15035v1 Announce Type: new Abstract: Short-term photovoltaic power forecasting requires models to represent regular solar cycles and…
Geometric Flow enhanced Graph Coarsening
arXiv:2609.14962v1 Announce Type: new Abstract: Recently, researchers have proposed a graph pooling operation, akin to the pooling process in conventional…
5 Free Microsoft GitHub Courses to Learn Data Science and Artificial Intelligence
Explore five free Microsoft GitHub courses covering data science, machine learning, artificial intelligence, generative AI, LLMs, RAG, fine-tuning, and AI…
MemRiskBench: Trace-Aware Risk-Preserving Evaluation for Long-Horizon LLM Agents
arXiv:2609.14976v1 Announce Type: new Abstract: Long-horizon LLM agents accumulate memory across sessions, creating sparse but high-impact risks: stale…
Salesforce and AWS Expand AI Integrations Across Slack and Amazon Quick
Salesforce and Amazon Web Services (AWS) announced an expanded collaboration on September 15, 2026, introducing integrations that put Salesforce business…
Towards a knowledge-enhanced single-cell foundation model
arXiv:2609.14970v1 Announce Type: new Abstract: Single-cell foundation models (scFMs) increasingly rely on large-scale transcriptomic pretraining, yet…