AI architecture portals

Transformer-era digital intelligence built on CMOS, GPUs, TPUs, memory hierarchies, and datacenter-scale orchestration.

AI systems that use photons for matrix multiplication, interconnects, signal processing, or ultrafast physical computation.

Spike-based and event-driven systems that mimic neural timing, locality, plasticity, and low-power computation.

Learning and search systems that exploit superposition, entanglement, quantum sampling, and quantum optimization.

Population-based intelligence that discovers architectures, policies, behaviors, and designs through variation and selection.

Intelligence produced by coordinated humans, agents, institutions, markets, models, sensors, and shared memory.

Intelligence grounded in perception, action, control, world models, and physical feedback loops.

AI systems coupled directly to neural signals for decoding, augmentation, communication, and closed-loop control.

AI that uses continuous physical dynamics, resistive memory, and in-memory compute to reduce digital movement costs.

Intelligence built from the natural dynamics of materials, fluids, waves, fields, and self-organizing physical systems.

Engineered cells, organoids, molecular networks, and biological systems used for learning, memory, and computation.

Systems that improve their own models, tools, code, objectives, curricula, and institutional feedback loops.

Networks of specialized AI agents that coordinate, debate, trade tasks, monitor each other, and execute plans.

Simple agents producing robust global behavior through local interactions, stigmergy, and decentralized feedback.

Architectures that combine digital models, human institutions, robots, neuromorphic sensors, photonic compute, and formal verification.

A local multi-agent cognitive civilization where mathematical, logical, physical, critical, memory, compression, and explorer agents recursively teach, critique, mutate, and validate each other under strict reality constraints.