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Google DeepMind and A24 launch research partnership

OpenAIJuly 5, 202625Views 0Likes 0Comments

Today, Google DeepMind and A24 are announcing a first-of-its-kind partnership focused on research. The collaboration pairs a world-leading research lab with the industry’s most filmmaker-forward studio to help artists develop new workflows and techniques. This ensures the tools of the future are shaped by the creators who use them. This partnership creates a deep research…

NVIDIA AI Introduces ASPIRE: A Self-Improving Robotics Framework Reaching 31% Zero-Shot on LIBERO-Pro Long Tasks

RoboticsJuly 5, 202639Views 0Likes 0Comments

Traditional robot programming is hard to scale. It requires orchestrating multimodal perception, physical contact dynamics, diverse configurations, and execution failures by hand. Code-as-policy systems let language models compose these into executable robot programs. That makes robot behavior inspectable, editable, and debuggable. But existing robotic coding agents run in naive execution environments. They receive only coarse,…

What are context graphs? Why do AI agents need them?

UncategorisedJuly 2, 202640Views 0Likes 0Comments

In AI agents, a context graph is the part of agent memory that captures decisions. This post explains why AI agents need to capture decisions, how context graphs capture them, how agents use them, and how agents enhance their capabilities and performance with them. An agent failure case It's the last week of the quarter. A renewal agent…

What are context graphs? And why AI agents need them?

UncategorisedJuly 2, 202644Views 0Likes 0Comments

Retrieval is critical in AI agents. To do any task correctly, AI agents needs to be able to retrieve all the information that is relevant to the task from its memory. Enterprise AI agents need context graphs to do this. This post discusses - why AI agents need decision traces how context graphs capture…

Context Graph vs RAG vs Raw Context

UncategorisedJuly 1, 202624Views 0Likes 0Comments

Retrieval is critical in AI agents. To do any task correctly, the agent needs to be able to retrieve all the information that is relevant to the task from its memory. Context graphs are all the rage right now, so I benchmarked them against the alternatives. This post explains how each memory method works, what…

Building Local AI Systems: Qwen3.6 + MCPs

Data AnalyticsJuly 1, 202634Views 0Likes 0Comments

# Introducing MCP Every developer building with local AI hits the same wall eventually. The model works. It reasons well, writes solid code, and answers complex questions. But it cannot do everything. It cannot query your database, open a GitHub issue, or call your internal API. You are left writing custom Python wrappers…

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing

AI NewsJune 30, 202628Views 0Likes 0Comments

def _purge(*prefixes): for name in [m for m in list(sys.modules) if any(m == p or m.startswith(p + ".") for p in prefixes)]: del sys.modules[name] def _load_ocrmypdf(): _purge("PIL", "ocrmypdf") import…

Start building with Nano Banana 2 Lite and Gemini Omni Flash

OpenAIJune 30, 202625Views 0Likes 0Comments

Limitations: Omni offers 10-second video generations currently, with longer durations coming soon. Uploading audio references and scene extension is not yet supported in the Gemini API for this model. Video references up to 3 seconds in duration are accepted by the API schema but are not correctly processed by the model at this time. Character…

Using Gemini to Create Google Sheets

Data AnalyticsJune 26, 202634Views 0Likes 0Comments

# Introduction Gemini in Google Sheets is a powerful AI integration from Google that lets you create, populate, analyze, and manage spreadsheets using natural language prompts. It can help you build Google Sheets from scratch. Instead of manually creating tables, formulas, and layouts, you can describe what you need, and Gemini can generate…

Datalab Releases lift: A 9B Open-Weights Vision Model That Extracts Structured JSON From PDFs Using Schemas

AI NewsJune 25, 202627Views 0Likes 0Comments

Datalab has released lift, a 9B open-weights vision model for structured extraction. You pass it a JSON schema, and it returns a JSON object that matches. The model reads PDFs and images directly, then decodes against your schema. This is Datalab’s first model built purely for extraction. The team already ships open-source OCR tools: chandra,…