Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
How can you protect the sanctity of a raw photograph from AI interference when it’s already been automatically run through AI inside the camera? New research seeks to restore ‘true’ sensor data – also ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
As part of its move to an IP workflow, Italian broadcaster Rai has signed a three-year framework agreement with Matrox Video to use its Matrox ConvertIP Series of encoders/decoders and converters.
How to substantially reduce encoder cost while gaining functionality with 44-Turn multi-turn rotary position sensors—retaining count and position during power loss. New technology reduces encoder ...
⭐ A unified framework that employs a single encoder and two decoders to jointly compress and reconstruct both the geometry and attributes of point clouds. With a simple yet effective network design, ...
Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
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