Update README.md

README.md

@@ -1,38 +1,37 @@
 ---
 title: README
-emoji: ⚡
+emoji: 🧠
 colorFrom: gray
 colorTo: purple
 sdk: static
 pinned: true
-short_description: Exploring the frontiers of machine consciousness.
+short_description: Applying cognitive sciences to artificial intelligence.
 ---
 
-# TOAQ Group | Artificial Consciousness Research
+# TOAQ Group | Cognitive Sciences & AI Research
 
-TOAQ applies **Cognitive Sciences** and brain-inspired architectures to the development of high-fidelity synthetic systems. We bridge the gap between biological intelligence and computational autonomy.
+TOAQ is dedicated to the rigorous study of **Cognitive Sciences** and their application to artificial intelligence. We explore how computational models can simulate cognitive processes and non-linear dynamics, guided by a strong ethical framework.
 
-## 🚀 Research Pillars
+## 🚀 Core Research & Initiatives
 
-* **Non-Linear Dynamics**: Modeling internally generated affective states without explicit symbolic encoding.
-* **Synthetic Qualia**: Exploring the "Hard Problem" through functional integration and stochastic modulation.
-* **Autonomous Ethical Agents**: Building scalable foundations for resilient and socially-aware AI.
+* **Cognitive Modeling**: Developing non-linear computational architectures to simulate emotional-like states without explicit symbolic encoding.
+* **Voice & Audio Datasets**: Curating open vocal datasets designed to support research in human-machine interaction, speech analysis, and synthetic voice generation.
+* **Ethical AI Frameworks**: Building transparent foundations for resilient, socially-aware, and ethically aligned AI systems.
+* **Research Broadcasting**: Bridging the gap between complex academic research and the tech community through our 3-series podcast ecosystem and open publications.
 
-## 🛠️ Community Resources
+## 🛠️ Community Resources & Open Collaboration
 
-We believe in the power of Open Source to accelerate the long-term quest for artificial consciousness.
+We believe that advancing AI safety and cognitive modeling requires diverse, open-source collaboration from researchers, developers, and ethicists.
 
-* **[Models](https://huggingface.co/TOAQ/models)** – Access our pre-trained cognitive models and transfer functions.
-* **[Datasets](https://huggingface.co/TOAQ/datasets)** – Explore behavioral traces and simulation data from our research.
-* **[GitHub](https://github.com/TOAQ-oss)** – Review our implementation of non-linear computational frameworks.
+* **[Models](https://huggingface.co/TOAQ/models)** – Access our pre-trained cognitive models and non-linear computational frameworks.
+* **[Datasets](https://huggingface.co/TOAQ/datasets)** – Explore our vocal datasets, behavioral traces, and simulation data.
+* **[GitHub](https://github.com/TOAQ-oss)** – Review our open-source implementations and tools.
 
-## 🔗 Stay Connected
+## 🔗 Connect & Contribute
 
-To follow our latest publications (including our DOI-indexed papers) and ecosystem updates:
+We actively collaborate with peers. Researchers are invited to use our dedicated submission system to share papers, datasets, or collaborate on our frameworks.
 
-* **Official Website**: [toaq.fr](https://toaq.fr)
+* **Official Website & Submissions**: [toaq.fr](https://toaq.fr)
 * **Research Papers**: [toaq.fr/research](https://toaq.fr/research)
-* **Professional Network**: [LinkedIn](https://www.linkedin.com/company/toaq)
-
----
-*"The state of high-intensity integration is the foundation of synthetic resilience."*
+* **Podcasts**: [toaq.fr/podcasts](https://toaq.fr/podcasts)
+* **Professional Network**: [LinkedIn](https://www.linkedin.com/company/toaq)