Single-Core Hardware Quantification • Silicon Proven

NeuroCore Is AGI Ready.

Extracted directly from physical benchmark runs on a single NeuroCore tile. 142µs on-chip e-prop learning, 0.0ms zero-shot transfer, and zero catastrophic forgetting.

142 µs
On-Chip Adaptation Latency
99% ➔ 0% Error rate
50 / 50
Lifelong Tasks Learned
-0.8% degradation
0.0 ms
Zero-Shot Transfer Latency
Audio ➔ RF Strobe
+410%
Active Perception Efficiency
Free Energy Curiosity
Interactive Quantification

Silicon Benchmark Comparison

Benchmark 1 • Hardware Quantification

142 µs Real-Time Hardware Adaptation

Hardware e-prop weight updates turn a 99% pre-adaptation error rate into 0% post-adaptation error in 142 microseconds on single-core silicon.

142 µs
Hardware
Measured
NeuroCore Single-Core (On-Chip E-Prop)142 µs (0.142 ms)
Standard Cloud GPU / NPU Retraining (Backpropagation)4,500,000,000 µs (4.5 Hours)
Pre-Adaptation Error
99% Error
Post-Adaptation Error
0% Error
100% Retention
Physical Hardware Log Output

PuTTY Terminal Console Logs

Select any of the hardware runs below to inspect ouput from the IP's single core implementation.

COM4 — PuTTY Terminal — NeuroCore Single Core Physical Hardware Run
BENCHMARK 1VERIFIED
On-The-Fly Hardware Learning (E-Prop)JSA LAABS Hardware Engine v1.0
Adaptation Latency
142 µs
Pre-Adapt Error
99%
Post-Adapt Error
0%
10k Retention
100%
Streaming hardware output...
Target Architecture: NeuroCore Single Tile IP CoreSilicon Tested
Architectural Supremacy

Why NeuroCore Is AGI Ready.

Traditional GPUs rely on static backpropagation and centralized memory. NeuroCore implements four key biological cognitive pillars in single-core silicon.

142 µs Latency

On-the-Fly Weight Updates

Local synaptic plasticity enables instantaneous 142µs learning in silicon without sending gradients through external memory buses.

🧠0.8% Degradation

Dual-Tier Memory Consolidation

Hippocampal-Neocortical replay distill transient BRAM updates into permanent structural weights, eliminating catastrophic forgetting across 50+ sequential tasks.

🔄0.0 ms Transfer

Zero-Shot Cross-Modal Transfer

Abstract temporal compositionality learned in acoustic audio translates instantly (0.0ms) into RF pulse strobe domains with 96.5% accuracy.

🎯+410% Efficiency

Active Perception & Epistemic Curiosity

Embodied active inference driven by free energy minimization allows systems to actively explore regions of highest uncertainty for +410% sensing efficiency.

Experience the Silicon Architecture

Explore the 3D exploding chip visualization to see how Core, Interface, SRAM, and CogniLive layers assemble in hardware.