Hardware supporting sparse, recurrent, and spiking behavior.

Shared world models, role-based cooperation, and belief propagation.

Tool-using agents coordinated via high-level workflows and policies.

Copilot-style assistants accelerating software delivery.

Closed-loop labs where agents design, run, and interpret experiments.

End-to-end generative chemistry stacks accelerating preclinical pipelines.

Ensuring stable intent across modular agent collectives.

Continuous-value compute blocks delivering high TOPS per watt.

Chips optimized for transformer attention paths and continual learning.

Full-stack digital employees operating within defined guardrails.

Adversarial agents probing systems for vulnerabilities and misalignment.

LLM-based agents conducting literature review, hypothesis drafting, and experiment planning.

Living neuronal cultures interfacing with silicon controllers.

Academic-industry hubs advancing deep learning and reinforcement learning.

AI platforms modeling cause-effect relationships for decision support.

Nation-scale computer vision stacks for public safety and commerce.

Models specialized for program synthesis, repair, and verification.

AI governance layers overseeing energy, mobility, and emergency response.

Self-alignment pipelines applying explicit rule sets to model behavior.

Real-time adaptation from sensory loops without catastrophic forgetting.

Superconducting logic enabling ultra-low-power AI acceleration.

Ethics of deletion, suspension, and rights to continuity.

Shared cognition across clusters enabling parallel 'selves'.

Ultra-low-power spiking chips for always-on embodied agents.

Affective computing engines interpreting facial, vocal, and physiological cues.

Managing human dependency on emotionally fluent synthetic companions.

Privacy-preserving training across distributed devices and institutions.

Model collectives like Mistral driving sovereign, permissive AI stacks.

Long-term autobiographical continuity and situated reasoning.

Determining when synthetic minds qualify for agency or moral consideration.

Logic and memory co-located to remove von Neumann bottlenecks.

Autonomous target identification and mission planning systems.

Infrastructure to inspect, visualize, and edit internal model circuits.

Resistive memory arrays executing MAC operations natively.

Sparse-activated LLM frameworks routing tokens to expert subnetworks.

Robots with multimodal perception (event cameras, tactile skins).

Unified embeddings across text, vision, action, and internal state.

Automated model design pipelines optimizing accuracy-cost tradeoffs.

Hybrid architectures combining neural perception with symbolic logic.

Photonic fabric moving data between AI chips at terabit speeds.

Agent collectives embedded in enterprises to simulate and route decisions.

Always-on agent stacks that mediate information, tasks, and memory for individuals.

Femtosecond-scale matrix ops for low-latency reasoning.

Transparency requirements for synthetic decision-makers.

Industrial AI monitoring equipment health across plants and fleets.

Sub-second speech translation powering multilingual collaboration.

Controlled environments for experimenting with high-risk cognitive systems.

Tooling for grounded LLM answers over private corpora.

Low-entropy logic exploring energy-efficient AI pipelines.

Automated evals and oversight loops for frontier models and agents.

Persistent virtual ecologies populated by evolving artificial species.

Embedded nanoscale actuators for fluid motion and expressive interaction.

Persistent digital beings with personal memory and adaptive relational styles.

Architectures integrating attention, self-monitoring, and motivational drives.

Negotiation, delegation, and inference between artificial agents.

Regulatory toolkits emphasizing accountability, transparency, and auditability.

Monolithic wafer-scale accelerators hosting trillion-parameter-scale models.

Latent world models coupled to planners for long-horizon reasoning.