Intel on AI

Latest Episodes:

AI Enhanced Fertility with Presagen and Intel Technology – Intel on AI – Episode 17 Jun 21, 2019

Show notes

In this Intel on AI podcast episode: Dr. Jonathan Hall, Scientific Lead at Presagen, joins the Intel on AI podcast to discuss how Presagen is using artificial intelligence to aid clinician embryo selection for in vitro fertilization (IVF) procedures. Presagen’s solution Life Whisperer is a non-invasive cloud based tool that uses AI to analyze images of patient embryos to generate an instant report on the embryo viability. This report enables clinicians to make an incredibly informed decision on which embryos to implant into the IVF patient and has shown to greatly increase the success of IVF procedures. Dr. Hall expresses how important this can be for people who are seeking reproduction assistance through IVF by saving patients time, money, and emotional stress. He also discusses how working with Intel and using a custom version of the Intel Optimization for PyTorch gives the Presagen solution a large speed boost to help make the image analysis even faster.

To learn more, visit: presagen.com

Visit Intel AI Builders at: builders.intel.com/ai

SubtlePET Pushing Medical Imaging Limit with Intel Distribution of OpenVINO – Intel on AI – Episode 16 Jun 20, 2019

Show notes

In this Intel on AI podcast episode: Tens of Millions of patients every year spend countless hours and billions of dollars on medical scans. Also, medical scans like PET (positron emission technology) or MRI (magnetic resonance imaging) scans can take a long time to conduct and can be very uncomfortable for patients. Enhao Gong, Founder and CEO of Subtle Medical, joins the Intel on AI podcast to share how SubtlePET technology powered by artificial intelligence is enhancing PET image quality significantly, enabling hospitals to provide faster and more efficient PET exams, and helping patients and health care providers save time and money. He talks about how SubtlePET technology utilizes the Intel Distribution of OpenVINO Toolkit to accelerate inference workloads and enables their technology to seamlessly integrate with the existing infrastructure that many hospitals already use. SubtlePET recently received FDA 510k clearance and CE Mark approval which is just the beginning for Subtle Medical and their mission to make medical imaging faster, safer, and smarter.

To learn more, visit: subtlemedical.com

Visit Intel AI Builders at: builders.intel.com/ai

Driving Deep Learning and Drug Discovery with Minds.ai and Intel – Intel on AI – Episode 15 May 31, 2019

Show notes

In this Intel on AI podcast episode: Sumit Sanyal, Founder and Chief Revenue Officer at Minds.ai, joins Intel on AI to discuss the Minds.ai Netrin Molecular Property Predictor (MPP) and how Minds.ai is driving drug discovery with deep learning. He describes how the minds.ai solution enables pharmaceutical companies to replace traditional labor and time intensive wet lab tests instead using graph convolutional deep neural networks (GCNNs) to make predictions about molecules and target proteins that may be useful in medications. This is revolutionizing the drug discovery industry by accelerating and reducing the cost of molecule testing. Sumit also talks about how minds.ai has been utilizing the Intel Math Kernel Library (MKL) and Intel Xeon Scalable processors to help drive their incredibly fast neural network training. He highlights how using Xeon processors is incredibly efficient in comparison to graphics processing units (GPU) and expresses how helpful the Intel MKL has been for Minds.ai.

To learn more, visit: minds.ai

Visit Intel AI Builders at: builders.intel.com/ai

Advancing Medical Imaging with Wipro and Intel AI – Intel on AI episode 14 May 16, 2019

Show notes

In this Intel on AI podcast episode: Vinod Prasad, General Manager & Lead Architect at Wipro Technologies, joins Intel on AI to discuss Wipro medical imaging solutions powered by Intel Architecture and optimizations. He discusses how the medical industry faces many challenges today including the sometimes difficult and time consuming process of diagnosis of patient chest X-rays. Vinod highlights how Wipro is working to help healthcare providers save time and resources while also improving the patient experience. He describes how Wipro is automating medical image segmentation, analysis, and captioning using deep learning (DL) neural networks running on Intel architecture and optimizations. Utilizing Intel technologies like Intel Distribution of OpenVINO toolkit has enabled Wipro to provide their customers with very efficient and cost effective image analysis solutions on premise and at the edge.

To learn more, visit: wipro.com

And: builders.intel.com/ai/social-hub/podcast/medical-imaging-wipro-intel

Visit Intel AI Builders at: builders.intel.com/ai

Accelerating FPGA Adoption for AI Inference with the Inspur TF2 – Intel on AI – Episode 13 May 13, 2019

Show notes

In this Intel on AI podcast episode: FPGA (field-programmable gate array) technology can offer a very high level of flexibility and performance, with low latency. Yet, with software writing thresholds, limited performance optimization, and difficult power control, FPGA solutions can also be challenging to implement. Bob Anderson, General Manager of Sales for Strategic Accounts at Inspur, joins Intel on AI to talk about the Inspur TensorFlow-supported FPGA Compute Acceleration Engine (TF2). Bob illustrates how the TF2 helps customers more easily deploy FPGA solutions and take advantage of the customization and performance of FPGAs for AI inference applications. He also describes how the TF2 is especially suitable for image-based AI applications with high real-time requirements.

To learn more, visit: inspursystems.com

Visit Intel AI Builders at: builders.intel.com/ai

Driving Easier AI Development with the Kibernetika Machine Teaching Engine – Intel on AI – Episode 12 May 10, 2019

Show notes

In this Intel on AI podcast episode: Leonard Sheiba, the Founder and CEO of Kibernetika, joins Intel on AI to talk about the challenges many organizations face when developing artificial intelligence (AI) solutions especially within an enterprise environment at scale. He points out that AI enabled software components like datasets, models, training, and serving involve continuous validation and retraining to work properly and require maintaining a strict process flow to develop in an enterprise environment. Leonard illustrates how the Kibernetika Machine Teaching Engine is an end-to-end platform that manages the entire AI development workflow from concept through decommission. He describes how their platform can serve many organizations and industry verticals including telecom, healthcare, and nearly any enterprise AI deployment. Lastly, Leonard highlights how the Kibernetika platform runs on Intel Xeon Scalable processors driving the power and efficiency that Kibernetika’s customers need.

To learn more, visit: kibernetika.ai

Visit Intel AI Builders at: builders.intel.com/ai

Fast Data Analytics with GigaSpaces and Intel Optane Data Center Persistent Memory – Intel on AI – Episode 11 May 09, 2019

Show notes

In this Intel on AI podcast episode: As the amount of data grows exponentially businesses are looking to leverage artificial intelligence (AI) to make real-time decisions with it. Yoav Einav, Vice President of Product at GigaSpaces, joins Intel on AI to discuss how the GigaSpaces InsightEdge platform is enabling enterprises to truly take advantage of their data utilizing in-memory computing for fast data analytics and extreme transaction processing. He illustrates how in-memory analytics allows customers to run analytics workloads on real-time data which provides low latency, high-throughput transaction, and co-location of applications and analytics to act on time-critical data in real-time. Yoav explains how enterprises in many different verticals including financial services, retail, transportation, telecom, healthcare, and others can greatly benefit from this capability. Also, Yoav talks about how Intel Optane Data Center persistent memory provides the foundation for the GigaSpaces InsightEdge platform driving more memory capacity per server driving smarter, faster insights based on larger and more varied data sets.

To learn more, visit: gigaspaces.com

Visit Intel AI Builders at: builders.intel.com/ai

Datarobot Empowers Enterprises with Automated Artificial Intelligence – Intel on AI – Episode 10 May 08, 2019

Show notes

In this Intel on AI podcast episode: Dr. Gourab De, Vice President of the Data Science at DataRobot, joins Intel on AI to talk about how DataRobot is helping developers and data scientist build AI models without having to write a single line of code. The DataRobot automated machine learning platform delivers the power of artificial intelligence beyond advanced programmers who are able to work through complicated code to a whole new enterprise audience that can greatly benefit from AI. Dr. De highlights that many different industry verticals that are utilizing the DataRobot platform including banking, healthcare, retails, manufacturing and many more. He also discusses how the DataRobot platform utilizes Intel Xeon Scalable processors as a powerful hardware foundation to deliver optimized performance for organizations in pursuit of low latency and scalability – two key performance features to support the AI-driven enterprise.

For more information, visit: datarobot.com

Visit Intel AI Builders at: builders.intel.com/ai

H2O.ai Democratizes AI with 2nd Generation Intel Xeon Scalable Processors – Intel on AI – Episode 09 May 07, 2019

Show notes

In this Intel on AI podcast episode: For this Intel on AI podcast episode we are joined by Vinod Iyengar, Vice President of Data Science Transformations at H2O.ai. Vinod highlights some of the challenges that enterprises face today when implementing AI deployments and how H2O.ai is empowering organizations to overcome those hurdles. He discusses how H2O.ai platforms leverage the performance of Intel Xeon Scalable Processors as well as important optimizations like Intel Math Kernel Library (Intel MKL) and Intel Data Analytics Acceleration Library (Intel DAAL) to bring rapid insights to their customers. Also collaborating on Project Blue Danube and Intel AI Builders, Vinod illustrates how together, Intel and H2O.ai are accelerating AI for everyone and helping to democratize AI. For more information, visit www.h2o.ai/.

Visit Intel AI Builders at: builders.intel.com/ai

Enabling Impactful AI Actions and Customer Understanding with Gamalon – Intel on AI – Episode 08 Mar 14, 2019

Show notes

In this Intel on AI podcast episode: Ben Vigoda, the founder and CEO of Gamalon, joins the Intel on AI team to talk about how Gamalon is driving the cutting edge of artificial intelligence and machine learning. He highlights their concept of how idea learning or Bayesian Program Synthesis models can enable enterprises to implement incredible understanding of text-based customer communications. Ben describes how Gamalon’s Idea Learning technology learns rapidly and accurately from sparsely labeled training data and enables data scientists to simply enter a series of queries to build a decision tree on the fly based on the text.

For more information, visit: gamalon.com

Visit Intel AI Builders at: builders.intel.com/ai

Our TOPPODCAST Picks

Follow Us

Stay Connected

Related Podcasts

Links

Stay Connected