About Tiny Neurons

A group of enthusiasts is currently working on AI, ML, TinyML, LLM, IoT, Operating Systems, Computer Operations and Applications, Computer Vision, Renewable Energy, Semiconductors, Energy Management, Blockchain, and Cryptography. The research team finds, polishes, and develops ideas while analyzing their social impact.

How Journey Started

From humble beginnings to cutting-edge research

The Journey of the Tiny Neurons Research Group started in 2023 from a late-night conversation among a group of enthusiasts who were interested in doing research on neural networks and machine learning algorithms. They built a team and pushed the boundaries of their knowledge in AI, determined to make meaningful contributions to science and society.

In recent days, this team, standing at the forefront of AI research, is tackling some of the most challenging problems in computer vision, natural language processing (NLP), deep learning (DL), and many more. Their work spans from theoretical foundations to practical applications that benefit healthcare, education, and society as a whole.

Our Mission

To advance the frontiers of artificial intelligence through rigorous research, innovative methodologies, and collaborative partnerships, while maintaining the highest standards of scientific integrity and ethical responsibility.

Our Vision

To be a globally recognized leader in AI research that transforms how we understand intelligence, creates beneficial technologies for humanity, and inspires the next generation of researchers and innovators.

Our Core Values

The principles that guide our research and collaboration

Innovation

Integrity

Collaboration

Open Science

Diversity

Impact

Our Research Philosophy

How we approach scientific discovery and innovation

Curiosity-Driven Research

We believe that the most significant breakthroughs come from asking fundamental questions and following our curiosity, even when the path is uncertain.

Interdisciplinary Approach

We draw insights from neuroscience, psychology, mathematics, and other fields to create more robust and innovative AI solutions.

Responsible AI Development

We consider the societal implications of our work and actively address issues of fairness, transparency, and accountability in AI systems.

Continuous Learning

We foster a culture of lifelong learning where every team member is encouraged to explore new ideas and develop new skills.

Our Achievements

Recognition and milestones that mark our journey

Best Paper Awards

At top-tier AI conferences including NeurIPS, ICML, and ICLR