China is no longer content to dominate supercomputing on the ground. It is now wiring thousands of satellites into a single, ...

Ethereum will see two hard forks in 2026, big upgrades to the gas limit, data blobs and parallel processing — and 1 in 10 validators will be verifying ZK proofs by EOY.

Nvidia management expects to benefit from the huge $3-4 trillion in AI infrastructure spending over the next five years. Nvidia’s competitive advantage remains solid as it continues to lead in ...

Abstract: Parallel computing approaches have illustrated promising potential in accelerating state estimation (SE). How to efficiently handle data processing and updating has become a crucial problem ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...

Demand for new and better AI models is creating an insatiable demand for more processing power and much better data throughput, but it’s also creating a slew of new challenges for which there are not ...

At the GTC 2025 conference, Nvidia announced its plans for a new, Boston-based Nvidia Accelerated Quantum Research Center or NVAQC, designed to integrate quantum hardware with AI supercomputers.

Industry discourse around test-time inference scaling converging with edge AI—where real people really experience AI—continues to ramp, and an important focus area is around memory and storage. To put ...