Andes Technology's Deep Learning Accelerator brings advanced neural network performance to edge AI applications ...

Abstract: This work characterizes the influence of different spatial sampling resolutions on the prediction of vehicular mobility. By assuming different spatial quantization areas over a region the ...

In this op-ed, Nic Cann, CEO, Blobfish International, shares why smart sampling isn’t just a nice-to-have, it’s a critical part of building brands that last. Over the past decade, we’ve ...

The assumption is that the sample is representative of the entire population. Small-business owners use sampling when determining new market niches, products and satisfaction levels. Expanding the ...

WASHINGTON -- The Social Security Administration is again making changes to its policies on verifying the identity of applicants. According to CNN, the agency has decided to end a newly instituted ...

May 24 (UPI) --President Donald Trump signed four executive orders to overhaul the Nuclear Regulatory Commission, and hasten the process and deployment of new nuclear power reactors in the United ...

The Central Limit Theorem is useful when analyzing large data sets because it assumes that the sampling distribution of the mean will be normally distributed and typically form a bell curve.

Abstract: Most rate-distortion (R-D) optimized quantization methods of video coding involve an exhaustive search process to determine the optimal quantized transform coefficients of a coding block and ...