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perplexity-launches-brain,-a-self-improving-memory-system-that-builds-a-context-graph-of-an-agent’s-work-and-learns-overnight

Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight

Source: MarkTechPost Most AI memory remembers the user. It stores your preferences, your tastes, and your role. Perplexity...
Jun 18, 2026
the-kv-cache-compression-race:-turboquant-vs-oscar-vs-epicache

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

Source: MarkTechPost Long-context large language models (LLMs) face a memory bottleneck that has nothing to do with model...
Jun 18, 2026
vercel-releases-eve:-an-open-source-ai-agent-framework-where-each-agent-is-a-directory-of-files-mapped-to-capabilities

Vercel Releases Eve: An Open-Source AI Agent Framework Where Each Agent is a Directory of Files Mapped to Capabilities

Source: MarkTechPost Vercel has released eve, an open-source framework for building, running, and scaling agents. The project is...
Jun 17, 2026
minimax-sparse-attention-(msa):-a-two-branch-block-sparse-attention-trained-on-a-109b-parameter-moe-with-a-3t-token-budget

MiniMax Sparse Attention (MSA): a Two-Branch Block-Sparse Attention Trained on a 109B-Parameter MoE With a 3T-Token Budget

Source: MarkTechPost MiniMax released MSA (MiniMax Sparse Attention), a sparse attention method built directly on Grouped Query Attention...
Jun 17, 2026
openai’s-deployment-simulation-extends-pre-deployment-risk-assessment-to-agentic-coding-through-simulated-tool-calls

OpenAI’s Deployment Simulation Extends Pre-Deployment Risk Assessment to Agentic Coding Through Simulated Tool Calls

Source: MarkTechPost OpenAI published a new pre-deployment safety method called Deployment Simulation. The idea is direct. Before a...
Jun 17, 2026
how-to-build-memory-efficient-transformers-with-xformers-using-packed-sequences,-gqa,-alibi,-swiglu,-and-causal-attention

How to Build Memory-Efficient Transformers with xFormers Using Packed Sequences, GQA, ALiBi, SwiGLU, and Causal Attention

Source: MarkTechPost In this tutorial, we implement xFormers: a practical toolkit for building fast, memory-efficient Transformer models on...
Jun 17, 2026
meet-qwen-robotsuite:-three-embodied-ai-models-for-vla-manipulation,-video-world-modeling,-and-navigation

Meet Qwen-RobotSuite: Three Embodied AI Models for VLA Manipulation, Video World Modeling, and Navigation

Source: MarkTechPost The Qwen team has released three embodied AI models, grouped as Qwen-Robot-Suite. The three are Qwen-RobotManip,...
Jun 16, 2026
google-cloud-introduces-open-knowledge-format-(okf):-a-vendor-neutral-markdown-spec-for-giving-ai-agents-curated-context

Google Cloud Introduces Open Knowledge Format (OKF): A Vendor-Neutral Markdown Spec for Giving AI Agents Curated Context

Source: MarkTechPost Foundation models keep getting stronger, yet they still stall on the same thing: context. A model...
Jun 16, 2026
how-to-build-a-parsing-pipeline-with-docling-parse-for-layout-aware-document-intelligence

How to Build a Parsing Pipeline with Docling Parse for Layout-Aware Document Intelligence

Source: MarkTechPost In this tutorial, we build a workflow for using Docling Parse to analyze PDF documents at...
Jun 16, 2026
sakana-ai-commercializes-ab-mcts-in-sakana-marlin,-an-enterprise-agent-generating-up-to-100-page-research-reports-with-slides

Sakana AI Commercializes AB-MCTS in Sakana Marlin, an Enterprise Agent Generating Up to 100-Page Research Reports With Slides

Source: MarkTechPost Tokyo-based Sakana AI shipped its first commercial product ‘Sakana Marlin’ this week. Sakana team positions it...
Jun 15, 2026
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