Building AI Tools to Transform Sales and Marketing, an Inside Look
Intel on AI
Learn about building cutting-edge AI tools, tailored for internal use with Intel experts Boaz Efroni Rotman and Barbara Roos. They dive into the creation of IGPT and VITA, Intel's innovative solutions for secure information sharing and productivity, and share insights on balancing generalized versus specialized AI tools. Whether you're curious about AI adoption strategies, tackling data challenges, or the future of CRM, this episode is packed with actionable advice for businesses navigating the AI revolution. RESOURCES: · Vita white paper: ...
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Real-world applications driving sustainability and productivity, with Scott Tease
Intel on AI
Explore real-world applications driving sustainability, productivity, and accessibility, from disaster prediction to personalized banking and interactive kiosks. Join Scott Tease, VP and GM of Lenovo’s Infrastructure Solutions Group as we discuss cutting-edge innovations like liquid cooling systems, which enhance energy efficiency in data centers and learn how AI is shifting from the cloud to the edge, making advanced technology accessible and sustainable for businesses and consumers alike. Scott also highlights Lenovo's commitment to sustainability, discussing innovative approaches...
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Accelerating Enterprise AI Adoption with RAG Solutions
Intel on AI
Dive into the transformative potential of Retrieval Augmented Generation (RAG) with Intel's Bill Pearson and Deloitte's Baris Sarer. In this episode, they discuss how RAG combines enterprise data with large language models to unlock new efficiencies and insights. From tackling data governance and security challenges to exploring cutting-edge solutions at the edge and in the cloud, this conversation unpacks the real-world applications, benefits, and future of AI-driven data management in the enterprise. Learn more about .
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Building AI for Low-Resource Languages: Bezoku's Innovative Approach
Intel on AI
Learn about the development of low-resource language models with Ian Gilmour, founder of Euler Digital and creator of Bezoku. Ian shares how Bezoku evolved from AI Forum, addressing the challenge of creating AI models for languages with limited data. He emphasizes the need for low-resource language models and their potential use cases, like polling and surveying, through techniques like reinforcement learning. Gilmour also delves into technical strategies, such as homomorphic encryption and synthetic data, for building secure and efficient AI solutions.
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Improving Developer Benefits Through AWS and Hugging Face Collaboration
Intel on AI
Tune in to learn about the future of AI deployments, from cost-effective CPU instances to the seamless integration of multiple models for robust AI systems with Jeff Boudier from Hugging Face and Sudeep Sharma from Amazon EC2. Jeff shares Hugging Face's mission to democratize machine learning, highlighting the ease and affordability of using diverse models on their platform. Sudeep dives into how AWS is tackling evolving customer demands by delivering next-gen Intel-powered instances, including the Gen7 Intel Sapphire Rapids processors, which optimize AI and machine learning tasks....
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Accelerating AI at the Edge with Oracle Roving Edge Infrastructure
Intel on AI
Learn about the origins of Oracle’s Roving Edge Device, and how the next-gen iteration with updated Intel processors is leading to breakthrough advancements in defense, agriculture, and healthcare. Recorded live at Oracle CloudWorld 2024 in Las Vegas with Matt Leonard, VP of OCI Edge and Cloud Infrastructure, Peter Guerra, Global VP of Data and AI, and guest host, Andy Morris from Intel Enterprise AI. The conversation also highlights Oracle and Intel's 31-year partnership and innovations in AI deployment at the edge. Guests include: Matt Leonard is Vice President of OCI Edge Cloud...
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Leveraging the Transformative Power of Agentic Workflows
Intel on AI
In this episode, Sean Phan from Pixel ML explores the transformative power of agentic workflows in automating complex processes and enhancing operational efficiency across industries. He shares insights on how AI-driven automation is being used to scale event engagement and streamline workflows in large enterprises. Sean also discusses the future potential of these workflows to revolutionize various industries.
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Enterprise AI Insights: Navigating the Future of Business
Intel on AI
Explore the transformative potential of AI in the enterprise, guided by insights from Anil Nanduri, Vice President and Head of Intel AI Accelerator Office. Learn why integrating AI is crucial for staying competitive and uncover the benefits of scalable solutions. This episode delves into a flexible, secure approach to AI, ensuring seamless integration with existing enterprise systems and maximizing ROI. Tune in to discover how enterprises can leverage AI to drive innovation and efficiency. #IntelAI @IntelAI
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Transforming AI Responsibly - Insights with David Ellison and Lenovo
Intel on AI
Join us in this episode as we dive into the transformative impact of responsible AI with David Ellison, Chief Data Scientist at Lenovo. Discover how Lenovo's Responsible AI Committee and its six guiding principles are setting new standards for privacy, security, and diversity in AI. David shares practical techniques such as data minimization and differential privacy, highlighting their roles in promoting transparency, accountability, and sustainable innovation in AI. Learn how these practices are not only shaping Lenovo's AI strategy but also paving the way for a more ethical and inclusive...
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Making it Easier for Businesses to Deploy AI Today with Comprehensive AI Solutions Featuring Seamus Jones
Intel on AI
Whether you're an AI enthusiast or a business looking to integrate AI into your operations, this episode offers valuable insights into the rapidly evolving AI landscape. Join Seamus Jones, Director of Technical Marketing/Engineering at Dell, as he explains how Dell is creating comprehensive AI solutions. These solutions encompass everything from AI infrastructure and hardware to software stacks, making AI deployment easier for businesses. Explore exciting AI use cases such as computer vision in retail and multimodal applications in logistics. Learn how enterprises can leverage AI...
info_outlineIn this episode of Intel on AI host Amir Khosrowshahi and Luis Ceze talk about building better computer architectures, molecular biology, and synthetic DNA.
Luis Ceze is the Lazowska Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington, Co-founder and CEO at OctoML, and Venture Partner at Madrona Venture Group. His research focuses on the intersection between computer architecture, programming languages, machine learning and biology. His current research focus is on approximate computing for efficient machine learning and DNA-based data storage. He co-directs the Molecular Information Systems Lab (misl.bio) and the Systems and Architectures for Machine Learning lab (sampl.ai). He has co-authored over 100 papers in these areas, and had several papers selected as IEEE Micro Top Picks and CACM Research Highlights. His research has been featured prominently in the media including New York Times, Popular Science, MIT Technology Review, Wall Street Journal, among others. He is a recipient of an NSF CAREER Award, a Sloan Research Fellowship, a Microsoft Research Faculty Fellowship, the 2013 IEEE TCCA Young Computer Architect Award, the 2020 ACM SIGARCH Maurice Wilkes Award and UIUC Distinguished Alumni Award.
In the episode, Amir and Luis talk about DNA storage, which has the potential to be a million times denser than solid state storage today. Luis goes into detail about the process he and fellow researchers at the University of Washington along with a team from Microsoft went through in order to store the high-definition music video “This Too Shall Pass” by the band OK Go onto DNA. Luis also discusses why enzymatic synthesis of DNA might potentially be environmentally sustainable, the advancements being made in similarity searches, and his role in creating the open source Apache TVM project that aims to use machine learning to find the most efficient hardware and software combination optimizations. Amir and Luis end the episode talking about why multi-technology systems with electronics, photonics, molecular systems, and even quantum components could be the future of compute.
Academic research discussed in the podcast episode:
- The biologic synthesis of deoxyribonucleic acid
- Towards practical, high-capacity, low-maintenance information storage in synthesized DNA
- DNA Hybridization Catalysts and Catalyst Circuits
- A simple DNA gate motif for synthesizing large-scale circuits
- A DNA-Based Archival Storage System
- Random access in large-scale DNA data storage
- Landscape of Next-Generation Sequencing Technologies
- Clustering Billions of Reads for DNA Data Storage
- Demonstration of End-to-End Automation of DNA Data Storage
- High density DNA data storage library via dehydration with digital microfluidic retrieval
- Probing the physical limits of reliable DNA data retrieval
- Stabilizing synthetic DNA for long-term data storage with earth alkaline salts
- Molecular-level similarity search brings computing to DNA data storage
- DNA Data Storage and Near-Molecule Processing for the Yottabyte Era