Artificial intelligence is rewriting the world, and simultaneously inventing a whole new language to describe how it’s doing it. Sit in on any product meeting, pitch, or panel these days, and you’ll ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Abstract: Motion compensated prediction is one of the essential methods to reduce temporal redundancy in inter coding. The target of motion compensated prediction is to predict the current frame from ...

You will be redirected to our submission process. Biological neurons perform extensive computation not only through spikes and synaptic interactions but also through rich internal dynamics unfolding ...

Could pure AI encoding reinvent compression and make traditional codecs obsolete? Monica Heck examines what the future might ...

Abstract: This paper presents an anomaly detection method that is based on a sparse coding inspired Deep Neural Networks (DNN). Specifically, in light of the success of sparse coding based anomaly ...

CarbonSix Inc., a developer of deploy-ready robotic artificial intelligence solutions, announced Wednesday it raised $40 ...

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under ...

Like many teenagers, 7th-grader Ilya Levin really enjoys playing computer games. However, unlike most of his peers, he's ...

In 2016, Google quietly shifted its translation app from rule-based machine translation to neural machine translation.

Neuromorphic sensors leverage brain signaling principles for proprioceptive sensing, achieving low power consumption and rapid environmental responsiveness.