SARASOTA, Fla. and CINCINNATI, June 18, 2025 -- Brain-CA Technologies, Inc., a trailblazer in teleomorphic computing and AI chipset design, will showcase three groundbreaking research papers at the 52nd Annual International Symposium on Computer Architecture (ISCA), taking place June 22–26, 2025, in Tokyo, Japan.
While many efforts in artificial intelligence, such as neuromorphic computing or neural networks focus on emulating the form of the neuron, teleomorphic computing focuses on the function of the brain–learning. Neuromorphic computing requires training based on explicit weights and backpropagation, while teleomorphic computing learns from spatiotemporal dynamics and continuously adapts in real-time. Brain-CA has invented the world's simplest device for learning and inference. Greater simplicity leads to dramatically lower energy use.
Brain-CA's approach challenges conventional AI paradigms by returning to first principles and embracing simplicity over mathematical complexity. Brain-CA's unique architecture is energy-efficient, binary-based, and biologically inspired, proving that intelligence doesn't have to be complex to be powerful. Each paper offers a unique lens into Brain-CA's architecture, unified by a common mission: building efficient, adaptive intelligence directly into hardware.
- A Uniform, Tessellated Architecture for Energy-Efficient Learning and Inference
Brain-CA introduces a novel AI architecture where intelligence emerges from wavefront collisions and spatial geometry. There's no backpropagation, no centralized memory—just distributed cells working together in real time. It's a new way to build AI that mirrors the simplicity and power of biological systems. - Brain-CA: A Cellular Automata-Inspired Architecture for Energy-Efficient CPU Design
Brain-CA reimagines the CPU itself. Instead of simulating learning through costly mathematical calculations, Brain-CA embeds learning in the hardware through event-driven, localized interactions—delivering massive energy savings at the architectural level. - Brain-CA: A Dual-Speed, Low-Energy Architecture for Cognitive Learning via Cellular Automata
Brain-CA mirrors biological speed and adaptability through a dual-phase approach. Fast wavefront sensing uncovers patterns, while accelerated prediction paths enable real-time responses. The result: continuous learning and immediate inference with minimal energy.
"We believe the future of AI lies not in scaling complexity, but in rediscovering simplicity," said Jerry Felix, Chief Architect at Brain-CA Technologies. "These papers demonstrate that by stepping away from conventional thinking, we can unlock entirely new levels of performance and efficiency."
Attendees at ISCA 2025 can explore Brain-CA's research through live talks, poster sessions, and interactive demos throughout the conference. Brain-CA has also published a book about their first-principles approach to AI, titled The Intelligence Shift, now available in paperback and Kindle formats on Amazon.
About Brain-CA Technologies:
Brain-CA Technologies is an innovator in microprocessor design, transforming artificial intelligence with its unique cellular automata-based processor architecture. By leveraging simple, self-contained cells that operate under straightforward rules, Brain-CA's technology delivers exceptional energy efficiency, scalability, and adaptability, addressing critical challenges in AI processing such as power consumption and heat generation. With a mission to redefine AI processing for real-world applications, Brain-CA is dedicated to enabling smarter, more sustainable solutions across industries, including healthcare, finance, manufacturing, and transportation. Headquartered in Cincinnati, Ohio, and Sarasota, Florida, Brain-CA Technologies is driving the next wave of AI innovation.
For more information:
Brain-CA Technologies' website: https://brain-ca.com/isca
BRAIN-CA™ and Brain-CA Technologies™ are Trademarks of Brain-CA Technologies, Inc.
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