arXiv:2611.14487v1 Announce Type: new Abstract: Research ideation is iterative: researchers refine their ideas step by step based on feedback. Yet…
Category: AI
Google DeepMind’s AlphaGenome 2 Predicts Cell-State Variant Effects
Google DeepMind announced AlphaGenome 2 on November 11, 2026, a deep-learning model that predicts how DNA variants affect gene regulation in individual…
Token Pooling-Aware Training for Multi-Vector Embedding Models
This post has no text preview — click the link below to read the original article. This article has been indexed from Hugging Face – Blog Read the original article: Token Pooling-Aware Training for Multi-Vector Embedding Models
Red Hat accelerates agentic adoption across hybrid environments
Enterprise ambitions for artificial intelligence are outpacing the infrastructure and budgets needed to support them. Red Hat AI faces a familiar…
When Should Agents Remember? Falsification-Gated Self-Evolution for LLM Agents
arXiv:2611.14326v1 Announce Type: new Abstract: LLM agents increasingly operate in long-horizon, verifier-rich environments, but current self-improvement…
Adobe brings AI agents and new creative tools to Photoshop, Premiere, and Firefly
Adobe is taking on Figma with a new prototype builder tool in Firefly.
Rox Raises $100M Series B at $1.3B Valuation to Advance AI Research
Reuters reported on November 11, 2026, that Rox had raised $100 million in a Series B round valuing the San Francisco-based startup at $1.3 billion.…
We’re bringing Adobe’s creative and productivity tools closer to your everyday Google apps.
Google and Adobe are integrating creative and productivity tools. Edit PDFs in Drive and use Adobe AI in Gemini. See what’s new in this partnership.
Reason Machines Open-Sources Aspen, a Git Server Built for AI Agents
Reason Machines has open-sourced Aspen, a self-hosted Git server for AI agents. It follows OpenAI’s Pando design and sustained 567 pushes per second on…
Integrating LLM Translation into Your Scikit-Learn Pipelines with Scikit-LLM
Learn, in a few easy steps, how to build a two-stage scikit-learn pipeline for multilingual text classification, guided by two pre-trained language models…
