D2E Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
AGENTS
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AI Agents: Building Trust Through Security and Transparency
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By combining autonomy, transparency, explainability, compliance checks, identity safeguards, and early risk detection, AI agents create a secure digital fabric that enhances trust and strengthens the integrity of interactions across organizations. Microblog by @antgrasso
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Diverse Humans and Machines Collaborating for Innovation
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Nice result! Among humans, group diversity is beneficial for problem solving and innovation. What if diverse humans and diverse machines collaborate? https://
goldberg.berkeley.edu/WSJ-Op-Ed-Call
-it-Multiplicity-by-Ken-Goldberg.pdf
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18 Powerful Applications of AI Agents in Marketing
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18 Powerful Applications Of AI Agents In Marketing
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @fabiomoioli @pascal_bornet @alliekmiller @mattshumer_ @OfficialLoganK @jeremyphoward @GaryMarcus http://
ow.ly/fsMW30sQ3qp -
ScrapeCraft: AI-Powered Web Scraping with LangGraph
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ScrapeCraft: AI-Powered Scraping ScrapeCraft uses LangGraph to combine AI assistance with powerful web scraping. Features include bulk URL scraping, real-time data streaming, and AI-powered pipeline generation. Explore the project on GitHub! https://
github.com/ScrapeGraphAI/
scrapecraft
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Advanced Stock Research Agent with LangChain DeepAgents
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Advanced Stock Research Agent A multi-agent system built with LangChain's DeepAgents that delivers professional stock analysis by combining real-time data, technical indicators, and financial examination. Check it out here https://
medium.com/@sagarnreddy/i
-built-a-research-agent-like-claudes-analysis-tools-using-langchain-deepagents-795f51a3a63f
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Building Knowledge Assistant with Agent Bricks and Human Feedback
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[Demo] Here's how to build a knowledge assistant that answers product questions from your documentation — and continuously improves with human feedback.
— Databricks (@databricks) 12 octobre 2025
See how to create a Q&A chatbot using Agent Bricks and refine its responses with expert input to deliver more accurate,… pic.twitter.com/6f25FR1ZIU[Demo] Here's how to build a knowledge assistant that answers product questions from your documentation — and continuously improves with human feedback. See how to create a Q&A chatbot using Agent Bricks and refine its responses with expert input to deliver more accurate,
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Proactive Agents: The Next Billion Dollar AI Innovation
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The next billion dollar agents will be what I call “proactive agents.” These are the ones capable of predicting user intent before a request. No one has figured out a reliable way to do this just yet. We are close.
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Enterprise Leaders Ask Key Questions on AI, 5G, IoT
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👉 These themes – AI+, Connected Industries, and Connected Enablers – speak directly to the questions every enterprise leader is asking. #MWC25 Las Vegas #AI #5G #IoT #AgenticAI @MWCHub @CTIA @GSMA https://t.co/6kr7UVj3ye pic.twitter.com/st3b04wHGj
— Harold Sinnott #MWC26 (@HaroldSinnott) 12 octobre 2025These themes – AI+, Connected Industries, and Connected Enablers – speak directly to the questions every enterprise leader is asking. #MWC25 Las Vegas #AI #5G #IoT #AgenticAI @MWCHub @CTIA @GSMA
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Mem-Agent: 4B LLM with Persistent Memory via GSPO
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8. mem-agent mem-agent is a 4B-parameter LLM trained with GSPO reinforcement learning to develop persistent memory using a scaffold of Python tools and markdown files.