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 ...

The world of artificial intelligence is moving beyond the cloud and into our everyday devices from smart sensors to robotics and AR/VR headsets. One of the key components that enables this shift is a ...

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 ...

Industrial digital input chips provide serialized data by default. However, in systems that require real time, low latency, or higher speed, it may be preferable to provide level-translated, real-time ...

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 ...

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 ...