### Articles

1. **[MIT Startup Takes On Big AI Names Using Radically New Tech](https://www.inc.com/kit-eaton/mit-startup-takes-on-big-ai-names-using-radically-new-tech/90982562)** (10.02.2024)
2. **[Liquid AI Announces Generative AI Liquid Foundation Models With Smaller Memory Footprint](https://www.gadgets360.com/ai/news/liquid-foundation-models-generative-ai-transformer-architecture-smaller-memory-footprint-announced-6690295)** (10.01.2024)
3. **[Liquid AI launches non-transformer genAI models: Can it ease the power crunch?](https://www.constellationr.com/blog-news/insights/liquid-ai-launches-non-transformer-genai-models-can-it-ease-power-crunch)** (10.01.2024)
4. **[Liquid AI's LFMs challenge ChatGPT with innovative architecture and specs](https://www.neowin.net/news/liquid-ais-lfms-challenge-chatgpt-with-innovative-architecture-and-specs/)** (10.01.2024)
5. **[MIT startup Liquid AI releases its first series of generative AI models](https://sdtimes.com/ai/mit-startup-liquid-ai-releases-its-first-series-of-generative-ai-models/)** (10.01.2024)
6. **[Liquid AI, an MIT spinoff, this week announced its first series of generative AI models: Liquid Foundation Models, or LFMs for short.](https://techcrunch.com/2024/10/02/this-week-in-ai-openai-is-stretched-thin/)** (10.01.2024)
7. **[Liquid AI debuted its non-transformer models, which it says perform on par with other leading generative AI models while requiring less memory](https://www.axios.com/2024/10/01/training-data-ai-plus)** (10.01.2024)
8. **[Liquid Foundation Models: Our First Series of Generative AI Models](/content/blog/liquid-foundation-models-our-first-series-of-generative-ai-models/index.html)** (09.30.2024)
9. **[In AI arms race, Boston’s LiquidAI claims to have a cheaper, more efficient app](https://www.bostonglobe.com/2024/09/30/business/liquidai-startup-artificial-intelligence-app/)** (09.30.2024)
10. **[Liquid AI Announces First Generation of Language Liquid Foundation Models](https://www.maginative.com/article/liquid-ai-announces-first-generation-of-language-liquid-foundation-models/)** (09.30.2024)
11. **[Liquid AI debuts new LFM-based models that seem to outperform most traditional large language models](https://siliconangle.com/2024/09/30/liquid-ai-debuts-new-lfm-based-models-seem-outperform-traditional-llms/)** (09.30.2024)
12. **[Liquid AI Introduces New Class of Foundational Models, Advancing AI Performance and Efficiency](/content/press/liquid-ai-introduces-new-class-of-foundational-models-advancing-ai-performance-and-efficiency/index.html)** (09.30.2024)
13. **[Liquid AI Launches Liquid Foundation Models: A Game-Changer in Generative AI](https://www.unite.ai/liquid-ai-launches-liquid-foundation-models-a-game-changer-in-generative-ai/)** (09.30.2024)
14. **[MIT spinoff Liquid AI debuts its non-transformer AI models LFM-1B, LFM-3B, and LFM-40B MoE](https://www.techmeme.com/240930/p29#a240930p29)** (09.30.2024)
15. **[MIT spinoff Liquid debuts non-transformer AI models and they’re already state-of-the-art](https://venturebeat.com/ai/mit-spinoff-liquid-debuts-non-transformer-ai-models-and-theyre-already-state-of-the-art/)** (09.30.2024)
16. **[From Liquid Neural Networks to Liquid Foundation Models](/content/blog/liquid-neural-networks-research/index.html)** (09.29.2024)
17. **[Towards a theory of learning dynamics in deep state space models](https://icml.cc/virtual/2024/36130)** (07.26.2024)
18. **[Liquid at ICML 2024](/content/blog/liquid-at-icml-2024/index.html)** (07.09.2024)
19. **[The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof](https://openreview.net/forum?id=gkrynRGiOi)** (06.16.2024)
20. **[Large Scale Dataset Distillation with Domain Shift](https://openreview.net/forum?id=0FWPKHMCSc)** (05.01.2024)
21. **[LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery](https://openreview.net/forum?id=hz8cFsdz7P)** (05.01.2024)
22. **[Mechanistic Design and Scaling of Hybrid Architectures](https://openreview.net/forum?id=GDp7Gyd9nf)** (05.01.2024)
23. **[Position: Future Directions in the Theory of Graph Machine Learning](https://openreview.net/forum?id=wBr5ozDEKp)** (05.01.2024)
24. **[RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation](https://openreview.net/forum?id=SQIDlJd3hN)** (05.01.2024)
25. **[State-Free Inference of State-Space Models: The *Transfer Function* Approach](https://openreview.net/forum?id=DwwI9L67B5)** (05.01.2024)
26. **[Liquid at ICLR 2024](/content/blog/liquid-at-iclr-2024/index.html)** (04.22.2024)
27. **[Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution](https://arxiv.org/abs/2404.04253)** (04.05.2024)
28. **[Launch of Collaboration with Liquid AI to Develop Edge AI Solution](/content/blog/launch-of-collaboration-with-liquid-ai-to-develop-edge-ai-solution/index.html)** (02.27.2024)
29. **[COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery](https://openreview.net/forum?id=MiRPBbQNHv)** (01.16.2024)
30. **[Graph Metanetworks for Processing Diverse Neural Architectures](https://openreview.net/forum?id=ijK5hyxs0n)** (01.16.2024)