About Selfbyt
A research-driven organization dedicated to advancing the intersection of neuroscience, artificial intelligence, and human-computer interaction.
Who We Are
Selfbyt is a research-driven organization dedicated to advancing the intersection of neuroscience, artificial intelligence, and human-computer interaction. We build software systems that emulate human cognitive capabilities, aiming to revolutionize how computers understand, learn, and interact with humans.
Research Philosophy
Our approach combines rigorous scientific methodology with practical applications. We believe in innovating at the hardware and software interface, rethinking fundamental computing paradigms, creating more efficient and human-like data processing systems, responsible AI development with a focus on safety and ethics, and bridging theoretical research with practical applications.
Our Focus Areas
Selfbyt works at the intersection of multiple disciplines to revolutionize computing
Neuroscience
Studying brain functions and neural networks to develop computational models that mirror human cognitive processes.
Human-Computer Interaction
Creating intuitive interfaces and interaction patterns that bridge the gap between human cognition and computer systems.
Cognitive Computing
Developing intelligent systems that can reason, learn, and process information in ways similar to the human brain.
Fundamental Data Architecture
Revolutionizing how computers handle and process data at the lowest level with universal data type systems and optimized storage.
Applied AI Research
Conducting research in artificial intelligence with a focus on cognitive modeling and neural architectures.
Technical Innovation
We work at multiple levels of the computing stack
Hardware Optimization
Developing specialized hardware architectures optimized for cognitive computing workloads.
Novel Data Types
Creating new data type implementations that better represent complex information structures.
Memory Architecture
Reimagining memory management and storage architectures for cognitive computing systems.
System Optimization
Developing low-level system optimizations to enhance performance and efficiency.