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CES 2026 AMD CEO苏姿丰主题演讲:联想科技世界
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会议摘要
AI is revolutionizing healthcare with faster drug discovery and personalized medicine, enhancing robotics for safer human-robot interaction, and advancing space exploration through autonomous missions. It's also transforming gaming, content creation, and scientific research, while AMD leads in developing full-stack AI solutions and fostering educational initiatives to prepare the future workforce. Collaboration and open ecosystems are key to unlocking AI's full potential across industries.
会议速览
CES 2026: A Global Convergence of Innovation and Collaboration
Innovators from around the world unite at CES 2026 to tackle global challenges, redefine industries, and create a future driven by technology, AI, and collaboration, showcasing breakthroughs in healthcare, transportation, and more, as the event becomes a hub for shared pursuit of innovation and partnership.
AMD's Vision for AI-Driven Future: Transforming Industries and Society
The keynote highlights the pivotal role of AMD in shaping the AI future, emphasizing leadership in high-performance computing, and its impact on healthcare, education, and more, setting the tone for CES 2026.
AI-Driven Future: Redefining Possibilities, Preserving Heritage, and Empowering Humanity
The dialogue envisions a future where AI revolutionizes urban planning, healthcare, transportation, and renewable energy, ensuring advancements benefit society while preserving human values and history.
AMD's Vision: Enabling AI Everywhere for Everyone, from Cloud to Edge
AMD's CEO highlights the critical role of AI in transforming industries and daily life, outlining a vision to increase global compute capacity by 100 times over five years. The company aims to integrate AI into all compute platforms, from cloud and PCs to edge devices, ensuring AI's accessibility and impact for billions. AMD is committed to developing a full range of compute engines tailored for various applications, driving innovation and efficiency across sectors.
AMD's Helios: Revolutionizing AI Infrastructure with Next-Gen Compute and Networking
AMD introduces Helios, a groundbreaking AI rack designed to meet escalating compute demands for AI. Featuring advanced Instinct Mi455 GPUs, EPYC CPUs, and Pensando networking chips, Helios offers unparalleled performance and scalability. Built on an open modular design, it integrates high-speed networking to function as a unified system, enabling the construction of powerful AI clusters. Demonstrated at CES, Helios showcases AMD's commitment to driving AI innovation at the infrastructure level.
Revolutionizing Data Centers: Introducing Helios with Mi 455x and Venice CPUs
Helios, a groundbreaking system, features Mi 455x GPUs and Venice CPUs, designed for enhanced performance, efficiency, and cost-effectiveness in data centers, utilizing advanced cooling, chiplet technology, and high-bandwidth networking.
Revolutionizing AI Performance: Helios Racks, Mi 455, and OpenAI's Collaborative Leap
The dialogue highlights advancements in AI technology, focusing on Helios racks with unprecedented computational capabilities, Mi 455's significant performance increase, and OpenAI's pivotal role in democratizing AI, exemplified by ChatGPT's global impact and creative applications.
Revolutionizing Life and Work: The Impact of AI in Personal and Professional Spheres
The dialogue highlights the transformative role of AI in enhancing personal experiences and professional fields, from healthcare and newborn management to scientific discovery and software engineering, emphasizing its potential to amplify human intelligence and productivity.
Exponential Model Progress Demands More Compute for Scalable Benefits
The dialogue highlights the increasing need for computational power as AI models advance, emphasizing their exponential utility in various applications. It discusses the shift from simple question-answering to complex workflows involving multiple AI agents. The speaker underscores the potential for AI to significantly impact healthcare, productivity, and personal life, advocating for a massive scale-up in GPU availability to harness these benefits. However, no current plans exist to achieve the necessary scale, posing a significant challenge for the industry.
AI's Critical Role in Medical Diagnoses and Treatment Decisions
AI tools like ChatGPT played a life-saving role by accurately identifying a severe blood clot condition and advising against a potentially harmful antibiotic treatment, highlighting the importance of integrating AI in healthcare for improved patient outcomes and safety.
AI's Evolution & Compute Demand: Balancing GPU Resources for Future Growth
Discusses AI's resource balancing on GPUs, emphasizing the need for hardware tuned to applications, with a focus on human attention as a precious resource. Highlights OpenAI's compute constraints impacting feature releases and predicts GDP growth driven by compute availability, advocating for AI's benefits to local communities and scientific advances.
AI's Role in Enhancing Quality of Life and Bridging Interdisciplinary Gaps
AI can significantly improve efficiency and bridge knowledge gaps across various disciplines, leading to advancements in science, healthcare, and enterprise. The collaboration aims to harness AI's potential to solve complex problems and enhance human capabilities, focusing on optimizing resource allocation for societal benefit.
AMD's Open Ecosystem for AI: A Comprehensive Solution for Enterprise and Sovereign AI
AMD introduces a full portfolio of AI solutions, including Helios for high-performance computing, Instinct Mi 440x GPUs for compact data center use, and Mi 430x for high precision. The company emphasizes the importance of an open ecosystem, showcasing its support for open-source projects and collaboration with AI companies like Luma AI.
Revolutionizing AI: Luma's Multimodal Intelligence for World Simulation and Generation
The dialogue highlights Luma's mission to develop multimodal AI systems capable of understanding and simulating the world through physics, causality, and cross-modal data integration. Introducing Ray 3, the first reasoning video model, it showcases advancements in 4K and HDR video generation, setting a new standard for AI intelligence and application.
Ray 3's Advanced Capabilities: Revolutionizing Creative Storytelling and Control in AI-Generated Content
Ray 3, a cutting-edge AI model, is being utilized by enterprises and creators to produce high-quality content, including feature-length movies. Its latest feature, Ray 3 modifier, offers enhanced control and precision, enabling users to edit real or AI-generated footage to achieve their creative visions, marking a significant advancement in AI-assisted creative storytelling.
Revolutionizing Creative Industries: Hybrid Human-AI Productions and Multimodal Agent Models
The dialogue discusses a groundbreaking system that empowers filmmakers and creators by enabling hybrid human-AI productions, eliminating the need for elaborate sets, and allowing for extensive editing. It highlights the development of powerful multimodal agent models, aiming to assist users in accomplishing tasks, from partial to full completion, and showcases a demo illustrating this innovative approach.
Revolutionizing Creative Workflows: Luma's AI Agents & AMD Collaboration
A multimodal agent enables human-AI collaboration in storytelling, significantly reducing production needs. Luma's partnership with AMD supports 60% of its growing inference workloads, showcasing seamless integration and AMD's pivotal role in facilitating advanced AI capabilities.
Revolutionizing Multimodal AI with AMD: Paving the Path for Advanced Simulations and Robotics
Discussed the collaboration's impact on multimodal AI models, focusing on cost efficiency and scalability. Anticipated advancements include automating complex simulations and enhancing general-purpose robotics, mirroring human multimodal capabilities.
Revolutionizing AI Compute: Mi 500 Series Promises 1000x Performance Boost
Discussing escalating demand for compute, the focus shifts to the upcoming Mi 500 series, leveraging Cdna 6 architecture and 2nm technology, aiming for a 1000x AI performance leap, democratizing powerful AI capabilities.
Revolutionizing Personal Computing: AI-Driven PC Innovations and Future Trends
The dialogue highlights the transformative role of AI in enhancing PC capabilities, focusing on advancements in content creation, productivity, and personal assistance. It showcases AMD's leadership in AI PC development, introducing the Ryzen AI 400 series processors, and emphasizes the synergy between hardware and software innovations to deliver a smarter computing experience. Liquid AI's role in driving model innovation for on-device AI is also spotlighted.
Revolutionizing Generative AI: Liquid's Processor-Optimized Models for Enhanced Intelligence
A foundation model company discusses their innovative approach to building efficient, generative AI models optimized for various processors, reducing computational costs without compromising quality. Announces Liquid Foundation Models 2.5, highly capable tiny-class models with advanced instruction-following abilities, available for download, optimized for AMD Ryzen AI CPUs, GPUs, and NPUs.
Revolutionizing AI Workflows with Multimodal LLMs and Proactive Agents
The dialogue highlights the advancements in AI technology, specifically focusing on the integration of multimodal models capable of processing text, vision, and audio, as well as the potential for proactive AI agents to enhance productivity. It envisions a future where AI can autonomously manage tasks, such as attending meetings, allowing users to concentrate on their primary activities. This transformative approach aims to make AI more efficient and seamlessly integrated into daily workflows, particularly on PCs.
Revolutionizing Proactive AI Agents for Enhanced Email Management and Collaboration
Highlights an advanced AI system's capability to transcribe, analyze, and draft email responses locally, ensuring user control and privacy. Anticipation for integrating these features with Zoom, showcasing the potential of proactive AI agents in enhancing productivity and collaboration.
AMD's Ryzen AI Max: Revolutionizing AI Development with High-Performance Computing
AMD introduces the Ryzen AI Max, a powerful processor for AI developers, gamers, and creators, featuring advanced CPU, GPU, and NPU capabilities. It supports up to 128 GB of unified memory, enabling efficient local AI model execution. The platform, compatible with Windows and Linux, accelerates AI and content creation tasks. AMD also announces the Ryzen AI Halo, a compact desktop for AI development, capable of running large models independently, set to launch in Q2, offering a comprehensive solution for local AI deployment.
Revolutionizing 3D World Creation: AI's Impact on Gaming and Content Development
The dialogue highlights the evolution of visual quality in gaming and the slow pace of 3D world creation, which is now being transformed by AI. A leading AI expert discusses the future of 3D world creation and the establishment of her company, emphasizing the pivotal role of AI in changing how we build virtual environments.
Revolutionizing AI with Spatial Intelligence: A New Era of Embodied and Generative AI
Highlights the advancement of AI technology focusing on spatial intelligence, enabling machines to perceive, create, and reason in 3D/4D environments, akin to human capabilities, aiming to bring significant value through innovations in embodied and generative AI.
Revolutionizing 3D Scene Creation: AI's Role in Crafting Consistent, Navigable Worlds from Minimal Input
The dialogue introduces a groundbreaking approach to 3D scene generation, where AI models, like Marble, can construct detailed, navigable environments from a handful of images. This technology enables the creation of cohesive, expansive worlds, bridging visual inputs into immersive spaces, showcasing advancements in AI's capability to mimic human-like environmental comprehension.
Revolutionizing 3D Environment Creation: From Real-world Photos to Interactive Worlds in Minutes
A team leverages AMD's SMI 320 four-five X chip and Rock M as stack software to transform ordinary phone camera images into detailed 3D environments. By using a generative model called Marble, they can instantly remodel spaces into various design styles, significantly reducing the time needed for traditional 3D modeling workflows. This technology not only accelerates the creation of immersive worlds for gaming, design, and robotics but also ensures coherent navigation and editing experiences, highlighting the importance of fast inference speeds for responsive 3D environments.
Revolutionizing AI with AMD: Advancing Spatial Intelligence and Real-time Creation
A collaboration between industry leaders highlights advancements in AI, particularly in spatial intelligence and real-time creation. The partnership leverages AMD's technology to significantly enhance performance, enabling AI to understand and navigate 3D environments. This breakthrough promises to revolutionize workflows, allowing creators to design in real time and intelligent agents to learn in digital worlds before real-world deployment. The focus is on responsible AI development that augments human creativity and productivity.
Revolutionizing Healthcare: AMD Technology's Impact on AI-Driven Medical Advancements
AMD technology is transforming healthcare through AI, enabling earlier cancer detection, faster drug development, personalized medicine, and improved patient outcomes via advanced computing and robotics.
Revolutionizing Drug Discovery: AI-Driven Precision Engineering in Biology
AI is transforming drug discovery by enabling precision engineering in biology, targeting diseases with high unmet medical need. The technology can potentially cure conditions like baldness and neglected areas, offering a more efficient alternative to traditional trial-and-error methods.
Revolutionizing Women's Health and Precision Medicine through AI and Drug Discovery
AI and drug discovery are transforming women's health by potentially delivering disease-modifying therapies for conditions like endometriosis, affecting 1 in 10 women, through powerful computational capabilities. The partnership with AMD has enabled scaling inference to screen over a million drugs daily, enhancing the contextualization of biology for better models. Additionally, AI is aiding in precision medicine by reading and understanding the human genome, paving the way for improved health outcomes and personalized treatments.
Revolutionizing Healthcare: Illumina's DNA Sequencing and AI's Role in Drug Discovery and Disease Prevention
Illumina, a leader in DNA sequencing, collaborates with AMD to harness the power of AI, genomics, and proteomics for drug discovery and disease prevention. This synergy aims to transform healthcare, improve longevity, and enhance the quality of life by leveraging advanced computational technologies and generative AI to unravel biological complexities.
Revolutionizing Drug Discovery: AI's Impact on Accelerating Healthcare Innovation
AI is transforming healthcare by accelerating drug discovery, enhancing productivity, and fostering innovation. Through collaborations with academia, startups, and tech giants, the industry aims to optimize AI models for handling vast datasets, leading to faster candidate drug development and improved clinical outcomes. The focus is on leveraging AI to prevent chronic diseases and revolutionize biological understanding.
AI-Driven Transition from Sick Care to Preventative and Regenerative Medicine
Speakers envision a future where AI aids in predicting and preventing sickness, offering personalized treatments, and extending healthy lives through regenerative biology, moving from sick care to preventative care.
AMD's Vision: Powering Physical AI for Seamless, High-Precision Real-World Applications
AMD showcases its leadership in physical AI, highlighting high-performance CPUs and accelerators enabling precise, real-time decision-making in robotics, infrastructure, and medical fields, through an open software ecosystem and partnerships.
Revolutionizing Robotics: Li Genetic Bionics' Human-Centric Approach and AMD Collaboration
A team, rooted in over two decades of physical AI and biomechanics research, discusses their creation of advanced human-like robots designed to enhance human potential. Highlighting their belief in technology serving people, they emphasize the critical role of AMD's unified computing architecture in enabling fast, deterministic processing for their robotic innovations, ensuring safety and efficiency at every level.
Revolutionizing Humanoid Robotics: A Platform Approach for Human-Centric Physical AI
Inspired by biomechanics, the approach emphasizes touch and fast reflexes in humanoid robots, integrating them into real-world applications like healthcare. An open platform enables tactile sensors to enhance human-robot interaction, promoting recovery and smarter assistance, exemplifying human-centric physical AI.
Revolutionizing Human-Robot Interaction with Gene 1: A Leap Towards a Tech-Enhanced Future
Gene 1, designed with Italian aesthetics and advanced touch sensitivity, marks a pivotal advancement in human-robot collaboration, promising enhanced safety and natural interaction in various sectors, from factories to healthcare, set for commercial deployment in 2026.
AMD Technology Powers Space Missions and Autonomous Exploration
AMD adaptive computing supports critical space missions, including autonomous Mars exploration and lunar infrastructure development, with technology powering rovers and robotic systems at major space agencies.
Blue Origin's Mission: Establishing Lunar Permanence for Off-Earth Industry
Blue Origin aims to protect Earth by moving heavy industry off the planet, focusing on lunar permanence as the next step in space exploration. The company, named after Earth's pale blue dot, seeks to build infrastructure for millions to live and work in space, benefiting Earth. Lunar Permanence, a key business unit, focuses on establishing a reliable, repeatable, and low-cost human presence on the moon, collaborating with AMD for advanced equipment.
High-Performance Computing and AI: Driving Space Exploration with Blue Origin and AMD
High-performance computing and AI are essential for Blue Origin's complex space missions, enabling reliable, efficient, and resilient flight computers. The collaboration with AMD has accelerated development, allowing for AI integration that enhances mission capabilities, such as identifying lunar landing sites and optimizing deep space exploration. The future involves leveraging edge AI for real-time decision-making and radio astronomy on the far side of the moon, marking a significant step in space exploration.
Convergence of HPC and AI: AMD's Leadership in Supercomputing for Scientific Advancements
AMD highlights its role in powering the fastest and most efficient supercomputers globally, enabling breakthroughs in climate modeling, energy solutions, and pandemic response. Collaborating with national labs and the Department of Energy, AMD is driving the Genesis mission, a public-private initiative merging AI, supercomputing, and quantum computing to accelerate scientific discovery.
Genesis Mission: Uniting Federal Resources for AI-Driven Scientific Breakthroughs
The Genesis mission mobilizes unprecedented federal scientific resources to double American science productivity within a decade, focusing on AI to tackle critical challenges in biotech, energy, and more, fostering industry partnerships and interagency collaboration.
Genesis: Pioneering AI Advancements for Global Leadership in Science and Technology
The dialogue emphasizes Genesis's role in generating high-quality scientific data to enhance AI capabilities, impacting healthcare, drug discovery, energy, and manufacturing. It highlights the U.S.'s commitment to AI leadership through private and public sector collaboration, removing innovation barriers, and accelerating R&D, as outlined in the AI action plan.
AI Education Pledge: Empowering Students and Teachers for a Bright AI Future
The dialogue highlights the government's initiative to integrate AI education, focusing on the AI Education Pledge. It emphasizes the involvement of over 5,000 students and 1,000 educators across the U.S., the commitment of $150 million by a major player to expand AI education, and the establishment of a nationwide AI and robotics campaign. The success is showcased through the achievements of high school students at a hackathon, culminating in a recognition event at CES.
Teen Innovators Build AI Robot Barista, Awarded Grants for Future Projects
Three young coders from various U.S. states, with no prior AI experience, developed an AI robot barista using AMD technology. Inspired by its adaptability, they envision robots aiding in firefighting. AMD honored their achievement with $20,000 educational grants to further their innovation.
Celebrating AI Education Pledge: A Tribute to Bridging Industry and Country
A heartfelt acknowledgment of the impact and dedication shown by individuals and teams in advancing AI education, highlighting their crucial role in uniting industry efforts and national progress.
AI's Ubiquity: A Collaborative Industry Effort for Global Advancement
A powerful technology, AI, is transforming the tech landscape, necessitating a broad portfolio of solutions and an open ecosystem built on industry standards. The dialogue emphasizes the importance of collaboration across the industry to bring AI to everyone, showcasing the spectrum from technology to partnerships, and highlighting the collective effort to address global challenges.
要点回答
Q:What are the main focuses of the Consumer Technology Association's (CTA) event at CES 2026?
A:The main focuses of the Consumer Technology Association's event at CES 2026 include innovators from around the globe coming together to imagine and create the next big things in technology, solving global challenges, and proving that technology creates new possibilities.
Q:What industries are expected to be transformed by AI according to the speech?
A:According to the speech, industries expected to be transformed by AI include healthcare, connected roads, autonomous flight, next gen marine tech, and innovations that feed the planet. Additionally, AI is anticipated to revolutionize content, creativity, and culture.
Q:What role does the CEO of AMD, Dr. Lisa Su, play in the transformation of AI?
A:Dr. Lisa Su, the CEO of AMD, has led the company through a remarkable transformation by focusing on innovation and high performance in AI computing. She has delivered products that power AI training and inference, scientific research, enterprise workloads, cloud infrastructure, and consumer devices. Her work has made AI real and accessible at scale, and she is recognized for her analytical, deeply technical leadership grounded in purpose.
Q:How is AI projected to grow in terms of user adoption and compute demand?
A:AI is projected to grow with active users projected to exceed 5 billion, which is a significant ramp-up from the initial million users of ChatGPT. The compute demand for AI is expected to increase by more than 100 times, from about 1 zeta flop in 2022 to over 10 Yotta flops in the next few years, with most of the growth attributed to the demand for AI models to make better decisions and reason.
Q:What are the challenges in scaling AI infrastructure and how is AMD addressing these challenges?
A:The challenges in scaling AI infrastructure include the need for more than just raw performance, requiring leadership in CPUs, GPUs, networking, an open modular design, high-speed networking, and easy deployment. AMD is addressing these challenges with its next-generation racks, called Helios, which integrates Instinct GPUs with EPYC CPUs and Pensando networking chips. This creates a tightly integrated platform with high-speed connections to build powerful AI clusters, meeting the demands of AI infrastructure at yottascale.
Q:What are the specifications of the Mi 455 GPU and the next generation Instinct GPUs in the Helios compute tray?
A:The Mi 455 GPU features 320 billion transistors, 70% more than Mi 355, includes 12 2nm and 3nm compute and IO chiplets, and has 432 GB of ultra-fast HBM4 memory, all connected with the next Gen 3D chip stacking technology. The next generation Instinct GPUs are at the heart of Helios.
Q:What are the capabilities of the next generation Epic CPU named Venice?
A:Venice is built with a 2 nm process technology, featuring up to 256 high-performance Zen 6 cores. It is designed to be the best AI CPU, with double the memory and GPU bandwidth from the prior generation, allowing it to feed Mi 455 with data at full speed even at rack scale.
Q:What performance and capacity does each Helios rack offer?
A:Each Helios rack has more than 18 Cuda GPU compute units, more than 4600 Zen 6 CPU cores, delivering up to 2.9 exaflops of performance. Each rack also includes 31 TB of Hpm 4 memory, an industry leading 260 TB per second of scale-up bandwidth, and 43 TB per second of aggregate scale-out bandwidth.
Q:How does ChatGPT impact people's lives and what is its significance in various fields?
A:ChatGPT is an overnight success that was seven years in the making, democratizing AI technology. It is being used for personal, important matters, in healthcare, and by enterprise for software engineering. It is enabling scientific discovery and has been credited with saving lives in healthcare.
Q:What future does Greg Brockman see for AI compute demand and its role in GDP growth?
A:Greg Brockman sees a future where GDP growth is driven by the amount of compute available in a country or region. OpenAI is tripling its compute every year, and there is a growing demand for new AI features and models that cannot be released due to compute constraints.
Q:What are the potential applications of AI in various fields?
A:AI will be applied to every single application, accelerating what people want to do. It will bridge disciplines humanity has been unable to bridge, and amplify solutions for hard problems.
Q:Why is it challenging for humans to be experts in all subfields of biology?
A:There is so much surface area available in biology that no human can possibly get to all of it and be an expert across every single subfield.
Q:What is the role of AI in the enterprise?
A:AI will be brought to bear on enterprise applications, with an agent for every application accelerating what people want to do.
Q:What is the significance of the collaboration between Greg and Luma AI?
A:The collaboration between Greg and Luma AI signifies the potential to change people's lives by using AI to really bridge across disciplines and work on impactful projects.
Q:What are the benefits of using the Mi 400 series in cloud computing, enterprise, and supercomputing?
A:The Mi 400 series enables hyperscale training, distributed inference at scale for enterprise AI deployments, and provides leadership training and inference performance for compact data centers and sovereign AI, along with extreme accuracy in scientific computing.
Q:Why is an open ecosystem important for the future of AI?
A:An open ecosystem is essential for the future of AI because innovation gets faster when the industry comes together around an open infrastructure and shared technology standards.
Q:What is the role of the software stack called 'Rom' in AI?
A:The software stack called 'Rom' is the industry's highest performance open software stack for AI, with support for widely used frameworks and model hubs, making it easy for developers to build, deploy, and scale AI applications.
Q:What kind of work is Luma AI doing and what is their vision for AI?
A:Luma AI is focused on building multimodal general intelligence for AI to understand our world, simulate, and improve it. They are training intelligent models that combine audio, video, language, and images to simulate physics and causality, with applications in video generation and multimodal models.
Q:What achievements has Luma AI's model Ray 3 accomplished?
A:Ray 3 is the world's first reasoning video model that can think first in pixels and latents to decide what to generate, and it can generate in 4K and HDR. It allows for world editing capabilities, enabling users to edit real or AI-generated footage to meet creative goals.
Q:How is Luma AI planning to use AI in content creation?
A:Luma AI is planning to use AI to help creatives create entire cinematic universes without elaborate sets and enable hybrid human-AI productions where the human is the prompt through motion, timing, and direction.
Q:How is the next-generation multimodal agent expected to assist creatives?
A:The next-generation multimodal agent is expected to analyze multiple frames and long-form video to make selections and maintain the fidelity of character scenes and stories, enabling creatives to imagine and design characters, environments, shots, and entire stories with AI assistance.
Q:What has been the benefit of using AMD hardware for Luma AI?
A:Using AMD hardware has allowed Luma AI to achieve some of the best TCO (total cost of ownership) in their stack, with the ability to handle complex workloads involving large amounts of information. It has provided a powerful collaboration that supports the need for powerful hardware to build and run next-generation AI models.
Q:What future advancements in AI are anticipated?
A:Future advancements in AI are expected to allow the simulation of real physical processes in the world, such as CAD architecture, fluid flows, and the design of rocket engines, significantly extending the capabilities of current AI models.
Q:What transformation has AI brought to PCs in terms of functionality and user experience?
A:AI has transformed PCs from being just productivity tools to becoming active partners in our lives, learning users' habits and working styles to enhance productivity and assist with tasks both online and offline.
Q:How has Microsoft contributed to the advancement of AI PCs?
A:Microsoft has been a key enabler by integrating next-generation AI capabilities directly into productivity tools like Windows and Microsoft Copilot, which allows users to complete tasks faster by simply describing what they need.
Q:What innovations has AMD introduced in the field of AI PCs?
A:AMD was the first to integrate a dedicated on-chip AI engine and delivered Copilot x 86 PCs. The new Ryzen AI 400 series processors combine high performance Zen 5 CPU cores, GPUs, and an advanced NPU for up to 60TOPS of AI compute, significantly improving content creation and multitasking performance.
Q:What are the key features and benefits of the newly announced Liquid AI Foundation Models 2.5?
A:Liquid AI Foundation Models 2.5 consist of efficient, generative AI models with up to 1.2 billion parameters, excelling in instruction following capabilities. They are optimized for AMD processors and can run on any device, offering high performance and reduced computational cost while maintaining quality.
Q:How do Liquid AI's foundation models enhance capabilities on AIP PCs?
A:Liquid AI's foundation models enhance capabilities on AIP PCs by providing proactive agents that can work ahead of user commands, perform tasks in the background, and offer advanced features such as email analysis and meeting representation, all while preserving privacy and ensuring offline operation.
Q:What are the capabilities and performance enhancements offered by the Ryzen AI Max processors?
A:Ryzen AI Max processors offer up to 16 high performance Zen 5 CPU cores, 40 RDNA 3 5 GPU compute units, and an xdna 2 NPU for up to 50TOPS of AI performance, with support for unified memory architecture and shared memory between CPU and GPU. They provide significantly faster performance in AI and content creation applications compared to competing products.
Q:What is the AMD Ryzen AI Halo and what purpose does it serve?
A:The AMD Ryzen AI Halo is the smallest AI development system capable of running models with up to 200 billion parameters locally, without needing an external connection. It features a high-end Ryzen AI Max processor, 128 GB of unified memory, and comes preloaded with open source developer tools, allowing developers to build, test, and deploy local AI applications directly on the PC.
Q:What advancements does Dr. Fei-Fei Li believe AI can bring to the field of 3D world creation?
A:Dr. Fei-Fei Li believes that AI can significantly advance the field of 3D world creation by enabling machines to learn the structure of the world directly from data, without the need for traditional scanning or complicated software, ultimately leading to the ability to generate realistic, navigable 3D worlds from a few images.
Q:What technology did the speaker use to create a 3D scene from a handful of images?
A:The speaker used a World Labs model called Marble, which is a generative 3D model that can transform a few visual inputs into a fully navigable, expensive 3D world.
Q:How does the AI model work with the hardware and software mentioned?
A:The AI model works with regular phone cameras to capture images and then uses the World Labs generative 3D model called Marble, alongside an AMD SMI 325x chip and the Rock M as stack software stack, to create a 3D version of the environment including details like windows, doors, furniture size, and a sense of depth and scale.
Q:What are some applications of the AI technology presented in the speech?
A:The AI technology can be used for robotic simulation, game development, and design, potentially saving months of traditional workload time and enabling users to create and navigate through 3D environments rapidly.
Q:What improvements did the speaker's team achieve with the help of AMD technology?
A:The speaker's team improved the performance of their model by more than four fold with AMD technology, achieving real-time frame generative performance within just a week and further enhancing it with the use of AMD Instinct and the Rock M stack over the following weeks.
Q:How is AI transforming various industries according to the speaker?
A:AI is transforming various industries by enabling real-time creation and interaction with digital representations of the real world, allowing for safer development of intelligent agents, and facilitating faster exploration and design processes for creators and architects.
Q:How is AI revolutionizing healthcare according to the speakers?
A:AI is revolutionizing healthcare by advancing cancer detection, enabling personalized therapies, accelerating treatment development, improving patient outcomes through robot-assisted surgeries, and transforming drug discovery with generative AI and synthetic biology.
Q:What is the role of AI in drug discovery, particularly at Epsi and AstraZeneca?
A:AI plays a pivotal role in drug discovery by assisting in the design of new drugs from scratch, tackling diseases with high unmet medical need, and developing precision engineering for biology. At AstraZeneca, AI is being scaled across their drug discovery pipeline, fostering innovation and productivity in developing new medicines.
Q:How is AI currently being used to expedite drug delivery and improve clinical success?
A:AI is being used to train models on experimental data to virtually assess and predict the efficacy of potential candidate drugs. This allows researchers to rapidly test millions of different potential drugs and select the most promising ones for further validation in the laboratory. This new approach to drug development has led to a 50% faster delivery of candidate drugs and an improved likelihood of clinical success.
Q:What is the role of collaborations with AMD in enhancing drug discovery?
A:Collaborations with AMD are essential for hyper-scaling drug discovery processes by optimizing the handling of large data sets. By working together, the goal is to create the most optimal model possible, which will help in the efficient scaling of drug discovery processes.
Q:How does the speaker express their excitement about the potential of AI in healthcare?
A:The speaker is excited about the ability of AI to create massive amounts of data and its impact on transforming our understanding of biology. The ambition is not just to treat diseases but also to prevent chronic ones. The speaker envisions a future where people can live healthier lives, potentially without the need for sick care, and where regenerative biology and medicine alter the aging process.
Q:What advancements in robotics and human interaction does Generative Bionics aim to achieve with its technology?
A:Generative Bionics aims to elevate human-robot interaction to another level by building platforms that achieve human-level intelligence and engineered for safe, physically human-robot interaction. Their goal is to develop human robots that can learn through touch and understand human movements, which can be applied not only in robotics but also in healthcare to assist patients with recovery. The company’s philosophy is to build technology that amplifies human potential, with a strong focus on safety and human-centric physical AI.
Q:How is AMD contributing to space exploration and the development of spacecraft?
A:AMD technology is powering critical space missions, including satellite Internet connectivity, autonomous exploration of Mars, and robotic systems at NASA, JPL, and other space agencies. AMD adaptive computing enables reliable operations in harsh environments, as seen in the Perseverance rover on Mars. Blue Origin, in particular, is using AMD technology to develop spacecraft and lunar infrastructure, aiming for reliable, repeatable, low-cost operations in space, including a permanent human presence on the moon.
Q:What is the role of AI in Blue Origin's spaceflight endeavors?
A:AI is being utilized by Blue Origin to expedite the development process for spaceflight by identifying landing sites, looking out for hazards, and performing compute-intensive tasks in real-time. The goal is to bring AI to spaceflight to aid in these critical functions.
Q:What potential does AI have in exploring the radio frequency environment on the Moon?
A:AI could be used on the far side of the Moon, where it is less affected by Earth's radio frequency noise, to explore an uncapped radio frequency environment. This could optimize the exploration process by identifying the next best areas to investigate and relay critical communications.
Q:How is AMD contributing to scientific research and what are some examples?
A:AMD is powering the two fastest supercomputers in the world and is involved in the Genesis mission to accelerate the convergence of AI, supercomputing, and quantum computing. These collaborations are leading to advancements in climate modeling, battery development, global forecasting, pandemic response, and other critical scientific challenges.
Q:What is the Genesis mission and its importance?
A:The Genesis mission is a national effort to double the productivity and impact of American science within a decade by integrating federal scientific resources. It aims to use AI to automate experiment design and accelerate simulations, ultimately enhancing federal R&D productivity and tackling scientific challenges that impact national security and economic prosperity.
Q:What are the three strategic priorities for the US to maintain its lead in AI?
A:To maintain its lead in AI, the US has three strategic priorities: 1) Removing barriers to innovation and accelerating R&D; 2) Ensuring proper AI infrastructure and energy production; and 3) Focusing on AI and education to prepare the workforce for the future.
Q:How is the Hack Club partnership involved in AI education?
A:The Hack Club partnership is involved in AI education through a nationwide campaign that engages high school students in AI and robotics. This initiative culminated in a hackathon, and the top teams were awarded to present at the Consumer Electronics Show (CES).
Q:What innovations did the AI robot barista demonstrate?
A:The AI robot barista demonstrated a robotic arm that autonomously serves beverages using a motorized wheel to select a soft drink. Trained using a unified vision language model, the robotic arm operates on an AMD Ryzen AI laptop with three cameras, showcasing AI's ability to perform complex tasks without specific programming.
Q:What future applications in firefighting does the AI robot barista suggest?
A:Future applications in firefighting suggested by the AI robot barista include using robots that can autonomously explore burning buildings before firefighters enter. This could be made possible by AI's capability to capture complex human behaviors, potentially saving lives and improving response times.
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