In this Intel Conversations in the Cloud audio podcast: Helen Kim from MaxLinear (previously NanoSemi, Inc.) joins host Jake Smith to talk about reducing compute resources to achieve target accuracies in deep neural networks. Helen goes into detail about [See the full post…]

IT Best Practices: Intel factories are using the Intel Distribution of OpenVINO toolkit to streamline deep-learning integration with the factories’ computer vision automatic defect-classification systems.

Intel factories have been using computer vision for over a decade to automate defect [See the full post…]

MulticoreWare’s LipSync technology uses Deep Neural Networks to “watch” and “listen” to videos and determine if content is correctly synchronized. Trained classifiers are used to find and match human faces to human speech, allowing LipSync to detect errors that are [See the full post…]

In this Intel on AI podcast episode: Deep neural networks (DNNs), which are arguably the most powerful form of AI today, are difficult to build, run, and explain. Such challenges constitute significant roadblocks for their adoption in their enterprise. [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Jason Knight joins Chip Chat to talk about Intel support for PyTorch. As Head of Software Product for the Artificial Intelligence Products Group at Intel, Dr. Knight guides [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Andres Rodriguez, a Senior Principal Engineer in the Data Center Group at Intel, stops by to talk about why it is so critical to optimize framework and software [See the full post…]

In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Pradeep Dubey, Intel Fellow at Intel Labs, joins us live from Intel Developer Forum in San Francisco. Dr. Dubey’s Parallel Computing Lab focuses on compute intensive applications such [See the full post…]