私たち昭和大学病院農業化では週に23回 4から8時間の納心軽減化手術を行ってい ます。対象とするのは脳腫瘍や血管障害 [音楽]だけでなく脳機能障害を伴う転換 のような症例も含まれます。また昭和以下 大学農機能解析デジタル医学研究所では 転換や自閉症、[音楽]認知症などの患者 さんに対して脳機能と構造との関係を精密 に読み解くための研究が[音楽]行われて います。納心経過手術では1mmのずれが 命[音楽]に関わるような精密な下業を 強いられます。顕微鏡を除きながら長時間 座り続けの身体的精神的負担が非常に 大きいことが課題となっています。手術 映像をもに[音楽]AIがリアルタイムで 立体映像を生成できる技術を開発してい ます。生成された立体映像[音楽]を ラガンで立体可能なディスプレイに流すと 受の負担が軽減できるとともに動きの自由 度が大きくなるため手術の制度に貢献でき ます。また10社の視野を他者と共有し 教育や判断支援に活用[音楽]できます。 当初からリアルタイムでの立体映像処理に は非常に高い計算処理能力が必要でした。 特に2Dから3Dの震度を推定し、手術中 に即座に表示するという処理は汎用的な コンピ ...

Super excited to be here with Dario and Jensen. What both of you are doing - NVIDIA at the silicon layer and Anthropic at the cognition layer is shaping what every developer and every organization will be able to build on going forward. On our side, we have been scaling NVIDIA across this fungible Azure fleet at the speed of light.Something that Jensen's been talking to me about for multiple years now, and we're continuing to set pace, including with the AI superfactory we announced just last week. And we h ...

Supercomputer Development - Horizon, the largest academic supercomputer in the U S, is being built in Round Rock, Texas [1] - Horizon is part of the NSF's new Leadership-Class Computing Facility [1] - The supercomputer is powered by NVIDIA technologies, including Grace Blackwell Superchips, Vera CPUs, and Quantum-X800 InfiniBand [1] - Dell Integrated Rack Scalable Systems featuring Dell PowerEdge servers will form its foundation [2] Performance and Capabilities - Horizon will have 100 times the AI performance of the Frontera supercomputer [2] - The supercomputer will support up to 15,000 global researchers a year on NSF-funded projects [3] Scientific Applications - Biochemists will use Horizon to simulate viral infections [3] - Astrophysicists will trace the evolution of galaxies [3] - Geophysicists will advance earthquake modeling to improve seismic hazard maps [3]

Market Opportunities & Industry Transformation - The semiconductor ecosystem is at the start of a new industrial revolution, driven by AI factories and physical AI, representing a multi-trillion dollar total addressable market (TAM) [7][55] - Physical AI is poised to transform manufacturing industries by automating millions of factories and hundreds of thousands of warehouses [8][47] - AI factories transform energy into intelligence, similar to how dynamos transformed energy into industrial productivity in the first industrial revolution [7] AI & Accelerated Computing in Semiconductor - AI supercomputing and accelerated computing are crucial for capturing opportunities in AI factories and physical AI, aiding innovation across semiconductor design and manufacturing [9][56] - NVIDIA's CUDA X libraries and AI physics frameworks like NVIDIA Physics Nemo accelerate core workloads in semiconductor design and manufacturing, with performance boosts ranging from 20x to 100x in areas like TCAD [23][26] - Agentic AI enhances the capabilities and productivity of semiconductor engineers, with NVIDIA partnering with companies like Cadence, Siemens, and Synopsys to integrate AI into their platforms [38][39][40] NVIDIA's Strategy & Partnerships - NVIDIA is transforming into an AI infrastructure company, providing the hardware and software needed for AI factories, including CPUs, GPUs, DPUs, NICs, switches, memory, and storage [11][12] - NVIDIA emphasizes partnerships with the semiconductor ecosystem, collaborating with companies like Applied Materials, Cadence, KLA, Lam Research, Siemens, Synopsys, Samsung and TSMC to accelerate semiconductor manufacturing and design workloads [25][26][27] - NVIDIA and Lam Research are collaborating to accelerate the device roadmap for AI applications, creating a virtuous cycle where Lam's tools help NVIDIA build better technologies [35][36] Digital Twins & AI Factories - Digital twins, enabled by the NVIDIA Omniverse blueprint, are essential for designing, optimizing, and simulating AI factories before physical construction, reducing costs and downtime [41][51] - The NVIDIA Omniverse blueprint for AI factory digital twins allows for collaborative planning and optimization of AI factories, integrating data from various sources to maximize TCO and power usage effectiveness [52] - Physical AI requires three computers: one for training AI, one in the robot for physical instantiation, and one for simulating the environment to ensure safety and correct operation [48]

AI Infrastructure & Cloud Platform - The industry faces the challenge of rapid movement in AI infrastructure development [1] - The company's mission is to provide scalable, high-performance, and highly reliable AI cloud infrastructure [1] - The company builds its AI platform from the ground up, focusing on core AI scenarios: training, inference, and data processing [2] Inference & Business Needs - Inference is favored due to the real business needs behind it [2] - The power of AI lies in serving real customer use cases through inference [4] - The company aims to make inference efficient and economically pragmatic for customers to facilitate their growth [4] Model Scaling & Performance - Model sizes are growing, requiring more memory and performance, including multi-node utilization and networking [3] - Nvidia continuously pushes boundaries, providing new and more performant hardware [3] - The company provides customers with flexibility through a managed Kubernetes with autoscaling features [3] - Customers can scale up or down based on demand [4]

L4 is really the pinnacle of vehicle autonomy. L4 autonomy refers to a self-driving system that can handle all driving tasks within a limited geographical area within specific operating conditions without any human intervention. Immediata's approach to L4 autonomy builds on the concept of foundation models.most specifically builds upon Cosmos, which is Nvidia's family of foundation models that have been developed specifically for physical AI applications such as autonomous vehicles. The beauty of co-develop ...

Event Overview - GTC Live Pregame is back and bigger than ever [1] - The event focuses on how AI is reshaping industries and accelerating science [1] AI Focus - The event will showcase breakthrough AI startups [1] - Next-generation infrastructure will be highlighted [1]

Cybersecurity Landscape - The cybersecurity industry faces adversaries that strike in milliseconds, requiring immediate reactions [1] - The volume of weekly security events reaches trillions, necessitating scalable defense mechanisms [1] - AI is crucial for defending at scale against machine-speed attacks [4] CrowdStrike & NVIDIA Collaboration - CrowdStrike is developing next-generation cybersecurity AI using NVIDIA technology [2] - NVIDIA accelerates CrowdStrike's AI to extend intelligence to data centers, factories, and critical infrastructure [2] - CrowdStrike utilizes NVIDIA CUDA X libraries, Nemo Agent toolkit, and Neotron to activate real-time AI security agents [2] AI Agent Capabilities - NVIDIA Nemo data designer captures expertise from top threat hunters to create AI-ready threat data [3] - Neotron models train AI agents on the CrowdStrike Falcon platform for analyst-level reasoning and decision-making [3] - Charlotte AI agent enables real-time threat neutralization and reduces manual analysis time [3]

Partnership & Innovation - Deutsche Telekom and NVIDIA partner to launch the world's first Industrial AI Cloud [1] - The partnership aims to accelerate AI innovation across industries [1] Strategic Goals - The initiative seeks to strengthen European data sovereignty [1] - The platform is designed as a sovereign, enterprise-grade solution [1] Industry Focus - The Industrial AI Cloud is expected to drive transformation across various industries [1]

My name is Marco Pavon and I lead autonomous vehicle research at Nvidia. I'm also a professor at Stanford where I lead the autonomous systems lab. I was used to tell my students maybe 3 four years ago that as a researcher I felt a bit stuck.Of course we were making progress but that was very incremental. But in the past three years, there's been a massive influx of new technologies primarily from the field of artificial intelligence that have revolutionized essentially all the building blocks through which ...