Robotics research is now accessible to small teams and individuals due to the significant reduction in hardware costs and the availability of foundation models. A research setup featuring an industrial-grade arm, two cameras, and a teleoperation system can be assembled for under €5,000, excluding VAT and compute costs.

A new memory architecture using single-layer fluorographane can achieve 447 terabytes per square centimeter with zero retention energy. This innovation aims to address the widening gap between processor throughput and memory bandwidth, exacerbated by increased AI demand and a NAND flash supply crisis.

The RTX 5090 delivers 104.8 TFLOPS of FP32 compute and only 1.64 TFLOPS of FP64 compute, resulting in a 64:1 FP64 to FP32 ratio. Over the past fifteen years, this ratio has widened on consumer GPUs, reflecting a growing divide between consumer and enterprise silicon, which is now being challenged by advancements in AI.