Intel Chip Chat

Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect.

For this episode we’re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect’s newest features allow for greater understanding of linguistic context that AI often finds so challenging.

For more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/

Intel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect.

For this episode we’re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect’s newest features allow for greater understanding of linguistic context that AI often finds so challenging.

For more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/

Intel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

Natural Language Processing is a complex and important field of AI. It’s what allows AI assistants to understand human voices, chatbots to understand typed text, and AI to read scanned text from analogue media. Understanding language and producing language are at once simple and complex problems for AI. While an AI may know the meaning of individual words perfectly well, syntax, sentiment, and context can add meaning that is more difficult to detect.

For this episode we’re joined by Peter Izsak, a senior deep learning data scientist and lead developer of NLP Architect at Intel. NLP Architect is an open source library built to facilitate research and collaboration within the NLP community and create a platform for NLP collaboration. Now on its fifth version, NLP Architect’s newest features allow for greater understanding of linguistic context that AI often finds so challenging.

For more about NLP Architect go to: https://www.intel.ai/research-projects or http://nlp_architect.nervanasys.com/

Intel and the Intel logo, are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

Keeping track of data is a challenge that any enterprise needs to deal with. This isn’t just because of the amount of data generated by users, applications, and devices. It’s also because of how data is distributed. Organizations today often grapple with an IT footprint that spreads across the globe. Data and applications often cross borders, time zones, and oceans, and getting a clear picture of data use and activity is often beyond the scope of a single IT professional, or even a traditional IT department.

Geoff Tudor is the Vice President of Vizion.ai at Panzura. Vizion.ai provides a single, consistent view of an organization’s data wherever it is on Earth, as well as a unified view of their application activity. By integrating machine learning to detect anomalous activity and potential breaches, Vizion.ai improves security and ease of use. All of this requires immense computational power with high throughput. Panzura manages this with a container-based infrastructure and a highly efficient storage layer. A key part of that storage layer is Intel® Optane™ DC persistent memory, which allows Panzura to deliver their services quickly, flexibly, and within a cost structure that works for their customers.

For more about Vizion.ai, go to https://www.vizion.ai.

Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

© Intel Corporation

Keeping track of data is a challenge that any enterprise needs to deal with. This isn’t just because of the amount of data generated by users, applications, and devices. It’s also because of how data is distributed. Organizations today often grapple with an IT footprint that spreads across the globe. Data and applications often cross borders, time zones, and oceans, and getting a clear picture of data use and activity is often beyond the scope of a single IT professional, or even a traditional IT department.

Geoff Tudor is the Vice President of Vizion.ai at Panzura. Vizion.ai provides a single, consistent view of an organization’s data wherever it is on Earth, as well as a unified view of their application activity. By integrating machine learning to detect anomalous activity and potential breaches, Vizion.ai improves security and ease of use. All of this requires immense computational power with high throughput. Panzura manages this with a container-based infrastructure and a highly efficient storage layer. A key part of that storage layer is Intel® Optane™ DC persistent memory, which allows Panzura to deliver their services quickly, flexibly, and within a cost structure that works for their customers.

For more about Vizion.ai, go to https://www.vizion.ai.

Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

© Intel Corporation

Keeping track of data is a challenge that any enterprise needs to deal with. This isn’t just because of the amount of data generated by users, applications, and devices. It’s also because of how data is distributed. Organizations today often grapple with an IT footprint that spreads across the globe. Data and applications often cross borders, time zones, and oceans, and getting a clear picture of data use and activity is often beyond the scope of a single IT professional, or even a traditional IT department.

Geoff Tudor is the Vice President of Vizion.ai at Panzura. Vizion.ai provides a single, consistent view of an organization’s data wherever it is on Earth, as well as a unified view of their application activity. By integrating machine learning to detect anomalous activity and potential breaches, Vizion.ai improves security and ease of use. All of this requires immense computational power with high throughput. Panzura manages this with a container-based infrastructure and a highly efficient storage layer. A key part of that storage layer is Intel® Optane™ DC persistent memory, which allows Panzura to deliver their services quickly, flexibly, and within a cost structure that works for their customers.

For more about Vizion.ai, go to https://www.vizion.ai.

Intel, the Intel logo, and Optane are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

Other names and brands may be claimed as the property of others.

© Intel Corporation

Alex Quach, General Manager of Intel’s Wireline and Core Network Division, joins Chip Chat to talk about his team’s efforts to drive new levels of network performance to support advanced edge use cases and the continued evolution of 5G services.

With early 5G deployments supported by existing LTE networks, many communication service providers (CommSPs) have been focused on transformation of the radio access networks to roll out new devices and enhanced mobile broadband services. In order to deliver on 5G’s promise of ultra-reliable low latency communications (URLLC), CommSPs are extending user plane virtualization from the core networks to the near-edge, far-edge and on-premise edge.

A next generation central office (NGCO) moves virtualization solutions one step towards the customer from the core. CommSPs are retooling thousands of COs to support 5G user plane function, wireline access and support services, such as content delivery networks, cloud gaming and augmented reality (AR), with lots of headroom for growth.

Quach detailed work with companies like Alibaba*, Cisco*, Ericsson*, Nokia*, Rakuten*, RedHat*, Tencent* and others to drive user plane virtualization across the near-edge, far-edge and on-premises edge and explained how FPGAs, new storage capabilities and AI building blocks complement compute and network capabilities to support a variety of virtualized network functions (VNFs) and new services. He described multi-access edge computing (MEC) as a super set of all edge computing that supports a wide variety of use case and deployments particularly in the far-edge.

Learn more about Intel’s work in network transformation, 5G and edge computing at www.networkbuilders.intel.com

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

Alex Quach, General Manager of Intel’s Wireline and Core Network Division, joins Chip Chat to talk about his team’s efforts to drive new levels of network performance to support advanced edge use cases and the continued evolution of 5G services.

With early 5G deployments supported by existing LTE networks, many communication service providers (CommSPs) have been focused on transformation of the radio access networks to roll out new devices and enhanced mobile broadband services. In order to deliver on 5G’s promise of ultra-reliable low latency communications (URLLC), CommSPs are extending user plane virtualization from the core networks to the near-edge, far-edge and on-premise edge.

A next generation central office (NGCO) moves virtualization solutions one step towards the customer from the core. CommSPs are retooling thousands of COs to support 5G user plane function, wireline access and support services, such as content delivery networks, cloud gaming and augmented reality (AR), with lots of headroom for growth.

Quach detailed work with companies like Alibaba*, Cisco*, Ericsson*, Nokia*, Rakuten*, RedHat*, Tencent* and others to drive user plane virtualization across the near-edge, far-edge and on-premises edge and explained how FPGAs, new storage capabilities and AI building blocks complement compute and network capabilities to support a variety of virtualized network functions (VNFs) and new services. He described multi-access edge computing (MEC) as a super set of all edge computing that supports a wide variety of use case and deployments particularly in the far-edge.

Learn more about Intel’s work in network transformation, 5G and edge computing at www.networkbuilders.intel.com

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

The Texas Advanced Computing Center (TACC) has created some of the most powerful scientific supercomputers in the world, and currently supports over 3,500 different projects. TACC’s system’ capabilities are built with large-scale scientific data in mind, and it has provided millions computational hours for partners like CERN, LIGO Lab, and individual researchers tackling data-intensive problems.

In this interview, we talked to Dr. Dan Stanzione, the Associate Vice President for Research at the University of Texas at Austin and the Executive Director of TACC. He discusses the architecture and capabilities of Frontera, TACC’s newest HPC cluster. In June 2019, Top500 ranked Frontera as the fifth most powerful supercomputer in the world making it the most powerful HPC system at any academic institution, and Stanzione theorizes that it may be the most capable general-purpose HPC system in the world for some applications.

Frontera’s architecture includes 8,000 servers, each powered by 2nd Generation Intel® Xeon® Scalable processors. The cluster includes hundreds of thousands of processing cores and a liquid-cooled infrastructure enabling a higher clock rate for even more performance. These and other features provide broadly-balanced capabilities that can support numerous and diverse large-scale, data-intensive scientific research projects the world over.

For more on HPC on Intel® architecture, please visit https://www.intel.com/hpc

Watch a video about Frontera here: https://www.youtube.com/watch?v=2EnEN4EBQTs&feature=youtu.be

For more on TACC, please visit https://www.tacc.utexas.edu/

Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel, the Intel logo, and Xeon Scalable are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

The Texas Advanced Computing Center (TACC) has created some of the most powerful scientific supercomputers in the world, and currently supports over 3,500 different projects. TACC’s system’ capabilities are built with large-scale scientific data in mind, and it has provided millions computational hours for partners like CERN, LIGO Lab, and individual researchers tackling data-intensive problems.

In this interview, we talked to Dr. Dan Stanzione, the Associate Vice President for Research at the University of Texas at Austin and the Executive Director of TACC. He discusses the architecture and capabilities of Frontera, TACC’s newest HPC cluster. In June 2019, Top500 ranked Frontera as the fifth most powerful supercomputer in the world making it the most powerful HPC system at any academic institution, and Stanzione theorizes that it may be the most capable general-purpose HPC system in the world for some applications.

Frontera’s architecture includes 8,000 servers, each powered by 2nd Generation Intel® Xeon® Scalable processors. The cluster includes hundreds of thousands of processing cores and a liquid-cooled infrastructure enabling a higher clock rate for even more performance. These and other features provide broadly-balanced capabilities that can support numerous and diverse large-scale, data-intensive scientific research projects the world over.

For more on HPC on Intel® architecture, please visit https://www.intel.com/hpc

Watch a video about Frontera here: https://www.youtube.com/watch?v=2EnEN4EBQTs&feature=youtu.be

For more on TACC, please visit https://www.tacc.utexas.edu/

Intel technologies' features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No product or component can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel, the Intel logo, and Xeon Scalable are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation