So you need to design algorithms that are verifiable. You need to implement verification as part of the technology so that when you give an answer you show that it is correct at run time.” Conclusion ...

Most machine learning algorithms demand a huge number of matrix multiplications and other mathematical operations to process. The computational technology to manage these calculations didn’t ...

The design process is itself an optimization problem. Hence, there is a demand, especially from industry and business, to automate the design process, thereby to remove the heavy reliance on human ...

This process is known as quantum compilation. ... Multi-target quantum compilation algorithm. Machine Learning: Science and Technology, 2024; 5 (4): 045057 DOI: 10.1088/2632-2153/ad9705; ...

Why Machine Learning Is Dumb—and How We'll Fix It Google believes a team of its computer scientists has come up with a new AutoML method that could automatically generate the best algorithm for ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Sometimes it’s too complicated to spell out a decision-making process. A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making ...

Abstract: The traditional Film Bulk Acoustic Resonator (FBAR) filter design process is usually assisted by optimization algorithms. The design process requires multiple iterations of parameters in a ...

Biases in data can be amplified by the training process, leading to distorted — or even unjust — results. And even when a model does work, it’s not always clear why. (Deep learning algorithms are ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...