TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Abstract: Recently, as the application of the convolutional neural network in artificial intelligence is becoming increasingly diversified, a growing number of neural network methods are put forward.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

These algorithms are representations of deep neural networks i.e. neural networks with many hidden layers. Convolutional neural networks are deep learning algorithms that can train large datasets with ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...

Prior to joining PCMag as a senior analyst to cover VPNs, I was the lead editorial manager at WizCase, where I spent four years honing in on the finer details of privacy networks and tools.

Not only is the positive contagion effect from eWOM a valuable driver of consumer decisions, but the fact that these interactions happen on the social network makes them measurable. For example ...