The phrase "accelerate machine" is not correct in standard written English as it lacks clarity and context.
It could be used in a technical context where one is referring to increasing the speed or efficiency of a machine, but it would typically require additional words for clarity.
Example: "We need to find a way to accelerate the machine's processing speed to meet our production goals."
Alternatives: "speed up the machine" or "enhance machine performance".
Of late, there has been some hope that quantum computing could be used to accelerate machine learning.
Active learning methods automatically adapt data collection by selecting the most informative samples in order to accelerate machine learning.
Intel, Google, and several other companies are now working on chips designed to accelerate machine learning (see "Battle to Provide Chips for the AI Boom Heats Up").
"While we should definitely leverage FPGA to accelerate machine learning, it is also important to take full advantage of machine learning to improve the FPGA design automation flow.
Visit NVIDIA to learn more about data science and how RAPIDS can accelerate machine learning for your business applications.
A couple of years ago Google announced that it is adding TPUs to its cloud platform to accelerate machine learning workloads.
Duke faculty will accelerate machine-learning research through the use of Microsoft Azure to advance health care research, educational programs and university operations.
Even now Zuckerberg is refusing the moral and ethical burden of editorial responsibility for the content his tools auto-publish and algorithmically amplify, every instant of every day, using proprietary information-shaping distribution hierarchies that accelerate machine-selected clickbait through the blood-brain barrier of 2.2 billion-plus users.
A Silicon Valley entrepreneur argues that as technology continues to accelerate, machines are beginning to take care of themselves, making human jobs obsolete.
To tackle those challenges, we developed a framework which allows users to perform exploratory model analysis based on the hardware accelerated machine learning toolkit BIDMach.
We have also collaborated closely with Google's platforms team to design and deploy new computational hardware called Tensor Processing Units, specialized for accelerating machine learning computations.
