Fog computing is an emerging paradigm that extends computation, communication, and
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …

Artificial intelligence now advances by performing twice as many floating-point
multiplications every two months, but the semiconductor industry tiles twice as many …

In response to innovations in machine learning (ML) models, production workloads changed
radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its …

We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

Photonic topological insulators provide a route for disorder-immune light transport, which
holds promise for practical applications. Flexible reconfiguration of topological light …

Machine learning is widely used in practice to produce predictive models for applications
such as image processing, speech and text recognition. These models are more accurate …

H01L25/18—Assemblies consisting of a plurality of individual semiconductor or other solid
state devices; Multistep manufacturing processes thereof the devices being of types …

Many companies are deploying services, either for consumers or industry, which are largely
based on machine-learning algorithms for sophisticated processing of large amounts of …

In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating
large-scale neural models in real time. Neuromorphic systems realize the function of …

Network-on-Chips (NoCs) are becoming integral parts of modern microprocessors as the
number of cores and modules integrated on a single chip continues to increase. Research …