
SidePath benchmarks show EvoChip running 13x to 41x faster than the best TensorFlow configurations with 35x to 301x fewer parameters, and because the model is a deterministic logic circuit rather than a neural network, it can finally be certified for the safety-critical jobs AI has never been trusted with.

EvoChip promises to significantly cut the cost of AI inferencing with its new AltiCore software that it claims works on any server, laptop, or even microcontroller.

Pablos Holman's Deep Future leads seed round to accelerate logic-first synthesis development for global AI infrastructure.

Why the current 'better silicon' roadmap fails industrial IoT and how logic synthesis bypasses physical scaling limits.

Inferences per second has become the critical metric in AI development, driven by concerns about energy consumption and computational efficiency.

Official reveal of the AltiCore product ecosystem, spanning MCU firmware to synthesizable silicon blueprints.

Addressing the environmental cost of matrix-math and the path to zero-emission intelligence.

Strategic finance expert Jerry Conrad joins EvoChip to lead M&A positioning and Series A strategy.

An analysis of thermodynamic limits in neural network scaling and the necessity of deterministic logic.

Why the 'GPU-for-everything' economic model is about to collapse and what replaces it.