Hardware Acceleration

Opening — Why this matters now Neuro‑symbolic AI is having a quiet comeback. While large language models dominate headlines, the systems quietly outperforming them on math proofs, logical deduction, and safety‑critical reasoning all share the same uncomfortable truth: reasoning is slow. Not neural inference—reasoning. The paper behind REASON makes an unfashionable but crucial claim: if we want agentic AI that reasons reliably, interprets decisions, and operates in real time, we cannot keep pretending GPUs are good at symbolic and probabilistic logic. They aren’t. REASON is what happens when researchers finally stop forcing logic to cosplay as linear algebra. ...

Opening — Why this matters now Edge AI has matured—at least on paper. We have better sensors, cheaper compute, and increasingly autonomous systems deployed in environments where cloud connectivity is unreliable or unacceptable. Yet one category of intelligence has stubbornly refused to move out of the lab: physical AI—systems that understand and recover the governing dynamics of the real world rather than merely fitting curves. ...