The newly updated EPA rules clarify that using such turbines, even temporarily, does not confer any such exemption from clean ...
Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...
Quantum computers, systems that process information leveraging quantum mechanical effects, could soon outperform classical computers on some complex computational problems. These computers rely on ...
Quantum computing is an emerging paradigm that leverages the principles of quantum mechanics to solve computational problems beyond the reach of classical computers. This article provides an overview ...
The computing world stands at a historic inflection point. Compute demand for frontier AI is expected to grow 1,000 times over the next four to five years. Classical compute is hitting thermal, energy ...
When it comes to hard problems, computer scientists seem to be stuck. Consider, for example, the notorious problem of finding the shortest round-trip route that passes through every city on a map ...
ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...
Abstract: Archives must be classified and categorized according to their classification to ensure effective retrieval and analysis of past data in digital libraries. This study uses Support Vector ...
Quantum computing pioneer D-Wave Quantum on Tuesday announced the general availability of its sixth-generation quantum computer, the Advantage2. The company said the Advantage2 offers ...
ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
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