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TheGround Truth.For AI leaders, experts and the curious
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Filtering by Multimodal Systems✕
RESEARCH LEAD STORY

AI research papers from labs and universities, explained in plain English

Introducing Quine: An AI research system designed for the complexity of biology.

Microsoft Research AI introduced Quine, an early-stage research effort to build a multimodal world model of biology that connects insights across biological scales and modalities so scientists can computationally search hypotheses and prioritize them before…

Read the ResearchBrowse topics
Microsoft Research AI
|
29 Sept 2026
LATEST FROM THE LABS
01

EmbeddingGemma 2: Unified and Efficient Multimodal Representations

DeepMind Research·
02

SemantiScene-Edit: Expert-Synthesized Supervision and Dual-Path Source Conditioning for Instruction-Based Video Editing

arXiv·
03

Implicit Reasoning in Transformers: Bridging the Compositionality Gap in GPT-2-like Models

arXiv·

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Unlocking Any-Order Generation in Pretrained Autoregressive Image Models

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Explore all categories →
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EARLIER FROM THE LABS

Breakthrough timeline updating.

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Proving and Improving the Platonic Representation Hypothesis with JEPAs

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FDSML: Formula-Driven Supervised Metric Learning with Parameter-Aware Triplet Loss

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29 Oct 2026·

Intrinsic Distribution Matching

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29 Oct 2026·

AB-Attention: Accurate Block Attention for Accelerating Video Diffusion Transformers

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29 Oct 2026·

HiFOR: Hierarchical Foresight with Action-Guided World Grounding for Vision-Language-Action Model

Hugging Face Papers

29 Oct 2026·
Browse every paper →
TheGround Truth.

Independent AI news, research and analysis on the global AI ecosystem, built from public sources.

My Ground Truth

Sections

  • Home
  • News
  • Today's Readout
  • Research
  • Models
  • Markets
  • Government
  • Jobs

Company

  • About
  • Methodology
  • Contact
  • Corrections
  • Pro (join the waitlist)
  • Privacy
  • Terms
  • Report a problem
  • RSS
For AI leaders, experts and the curious
Last updated: —