This invention addresses the challenge of efficiently converting high-voltage DC power to low-voltage, high-current outputs in applications such as electric vehicles and data centers.
Unstable (or chatter) behavior and tool wear are two major limitations to machining productivity. Under stable machining conditions, the machining cost per part is a trade-off between the material removal rate and tool life.
Our work shows how to derive a set of consistent interactions between a parent topological phase (Z_4) and a condensed variant thereof (DS). We then show how N condensed DS patches embedded within a Z_4 matrix realize N-1 logical error corrected qubits.
This invention describes Q-IRIS, integrating IRIS's asynchronous task-based runtime with QIR-EE and XACC to orchestrate classical–quantum workflows using QIR.
The invention addresses a key challenge in modern computational science: effectively integrating quantum computing capabilities into existing high-performance computing (HPC) environments.
Mega-DC envisions the data center as a grid-orchestrated load.
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With this technology, we propose a systematic method for constructing a potentially very large number of complementary anomaly detectors from a single probabilistic model of the data.
The invention relates to network security and more specifically to methods and machines for determining which records meet the criteria for storage.
This generalized framework leverages recent technological advances in artificial intelligence, large scale distributed computing, a large repository of both overhead and ground based imagery databases to propose a GIScience based object detection and counting platform.
In a world which is becoming increasingly reliant upon data-driven