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Introduction to Graph Neural Networks (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Price:$64.99– $38.46
(as of Jan 04,2025 11:55:12 UTC – Details)
Publisher : Springer; 1st edition (March 20, 2020)
Language : English
Paperback : 128 pages
ISBN-10 : 3031004590
ISBN-13 : 978-3031004599
Item Weight : 8.8 ounces
Dimensions : 7.52 x 0.29 x 9.25 inches
Introduction to Graph Neural Networks (Synthesis Lectures on Artificial Intelligence and Machine Learning)Graph Neural Networks (GNNs) have emerged as a powerful tool for analyzing and modeling complex relational data, such as social networks, biological networks, and recommendation systems. In this post, we will provide an overview of GNNs and their applications in various domains.
GNNs are a class of neural networks that operate on graph-structured data. Unlike traditional neural networks that operate on grid-structured data (such as images or text), GNNs are designed to handle non-Euclidean data represented as graphs, where nodes represent entities and edges represent relationships between them.
One of the key features of GNNs is their ability to capture the underlying structure and relationships in the data, allowing them to learn powerful representations that can be used for tasks such as node classification, link prediction, and graph classification.
In this book, we will cover the fundamentals of GNNs, including different architectures (e.g., Graph Convolutional Networks, Graph Attention Networks), training techniques, and applications. We will also discuss the challenges and future directions of GNN research.
Whether you are a researcher, practitioner, or student interested in artificial intelligence and machine learning, this book provides a comprehensive introduction to Graph Neural Networks and their potential impact on various domains. Stay tuned for more updates on this exciting topic!
#Introduction #Graph #Neural #Networks #Synthesis #Lectures #Artificial #Intelligence #Machine #Learning,machine learning: an applied mathematics introductionEssentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Price:$32.99– $30.31
(as of Jan 04,2025 10:43:42 UTC – Details)
Publisher : Springer; 1st edition (June 4, 2008)
Language : English
Paperback : 108 pages
ISBN-10 : 3031004175
ISBN-13 : 978-3031004179
Item Weight : 7.1 ounces
Dimensions : 7.52 x 0.25 x 9.25 inchesCustomers say
Customers find the book’s reading style thoughtful and pleasant. They describe it as a good, must-read for anyone looking for Gamification. However, opinions differ on clarity – some find the definitions and concepts clear, while others find explanations of complicated topics unclear and math notations challenging.
AI-generated from the text of customer reviews
Essentials of Game Theory: A Concise Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)Game theory is a powerful tool used in various fields such as economics, political science, biology, and computer science. Understanding the fundamentals of game theory can provide insights into strategic decision-making and help in predicting outcomes in competitive situations.
In this concise and multidisciplinary introduction, the essentials of game theory are presented in a clear and accessible manner. This book is part of the Synthesis Lectures on Artificial Intelligence and Machine Learning series, making it a valuable resource for students, researchers, and practitioners in these fields.
Topics covered in this book include:
– The basics of game theory, including types of games and strategies
– Nash equilibrium and its applications
– Extensive-form games and imperfect information
– Cooperative games and bargaining
– Evolutionary game theory and its applicationsBy providing a comprehensive overview of game theory and its applications, this book serves as a valuable resource for anyone looking to enhance their understanding of strategic decision-making and competitive interactions. Whether you are a student, researcher, or practitioner, this book will deepen your knowledge and broaden your perspective on game theory.
#Essentials #Game #Theory #Concise #Multidisciplinary #Introduction #Synthesis #Lectures #Artificial #Intelligence #Machine #Learning,machine learning: an applied mathematics introductionSimulated Snake Toy Creepy Prank Stuff Artificial Model Baby Simulation Travel
Simulated Snake Toy Creepy Prank Stuff Artificial Model Baby Simulation Travel
Price : 10.79
Ends on : N/A
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Are you looking for a creepy prank to pull on your friends or family members? Look no further than the Simulated Snake Toy! This artificial model looks and moves just like a real snake, perfect for scaring the pants off anyone who comes across it.Whether you want to use it for a Halloween prank, a practical joke, or just to add some excitement to your next road trip, this baby simulation travel toy is sure to elicit some screams and laughs.
So why wait? Get your hands on the Simulated Snake Toy today and start pulling off some hilarious and spine-chilling pranks! Just be prepared for some shocked reactions and maybe a few screams along the way.
#Simulated #Snake #Toy #Creepy #Prank #Stuff #Artificial #Model #Baby #Simulation #Travel,bd790Guaishou Artificial Model Reptile Lizard Animal Figures Kids Gift 12pcs
Price: $7.99
(as of Jan 04,2025 06:22:29 UTC – Details)
Purposes: training children awareness of the natural world of animals, children knowledge map aids, decorative furnishings, gifts.
For the crowd: children over 3 years old; dinosaur animal lovers, collectors owners
Material: Vinyl Glue, 12 small lizards installed
Purposes: training children awareness of the natural world of animals, children knowledge map aids, decorative furnishings, gifts.
Size: about 5-8cmCustomers say
Customers find the toy figures durable and realistic-looking. They appreciate the nice colors and detail in the painting of the eyes, stripes, and spots. Many consider them a great gift for kids and reptile lovers. The variety and value for money are also appreciated. However, opinions differ on the size.
AI-generated from the text of customer reviews
Introducing the Guaishou Artificial Model Reptile Lizard Animal Figures Kids Gift 12pcs!Looking for the perfect gift for the little animal lover in your life? Look no further than these adorable reptile lizard animal figures from Guaishou. This set includes 12 different lifelike lizard models that are sure to spark your child’s imagination and creativity.
Made from high-quality, non-toxic materials, these artificial lizard figures are safe for kids to play with and durable enough to withstand hours of imaginative play. Each figure is intricately detailed and painted to look just like the real thing, making them perfect for educational play or for adding to a collection.
Whether your child loves reptiles or just enjoys playing with animal figures, this set is sure to be a hit. Give the gift of imagination and fun with the Guaishou Artificial Model Reptile Lizard Animal Figures Kids Gift 12pcs!
#Guaishou #Artificial #Model #Reptile #Lizard #Animal #Figures #Kids #Gift #12pcs,fortnite giant lizardMachine Learning Vol. III : An Artificial Intelligence Approach,
Machine Learning Vol. III : An Artificial Intelligence Approach,
Price : 38.13
Ends on : N/A
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In this post, we will delve deeper into the world of machine learning with a focus on an artificial intelligence approach. Machine learning has revolutionized the way we interact with technology, making it possible for computers to learn from data and improve their performance without being explicitly programmed.With advancements in artificial intelligence, machine learning algorithms are becoming more sophisticated and capable of handling complex tasks. In this third volume of our series on machine learning, we will explore how artificial intelligence is changing the landscape of machine learning and the potential implications for the future.
From deep learning to neural networks, we will discuss the latest developments in artificial intelligence and how they are being applied in various industries. We will also examine the ethical considerations surrounding the use of AI in machine learning and the importance of responsible innovation.
Join us on this journey as we explore the exciting world of machine learning through an artificial intelligence lens. Stay tuned for more insights, case studies, and practical tips on how to leverage AI in your own machine learning projects. Let’s dive deep into the future of technology together!
#Machine #Learning #Vol #III #Artificial #Intelligence #Approach,machine learning: an applied mathematics introductionThe Future of Artificial Intelligence: Deep Learning with DNN
Artificial Intelligence (AI) has been a rapidly growing field in recent years, with advancements in technology allowing for more sophisticated and intelligent systems than ever before. One of the most exciting developments in AI is deep learning, a subset of machine learning that uses artificial neural networks to mimic the way the human brain processes information.Deep learning with Deep Neural Networks (DNNs) has the potential to revolutionize many industries, from healthcare to finance to transportation. By using a hierarchical structure of layers to process and learn from data, DNNs can uncover patterns and make predictions with incredible accuracy.
One area where DNNs are already making a big impact is in image and speech recognition. Companies like Google and Facebook are using deep learning algorithms to improve the accuracy of their facial recognition systems, while companies like Apple are using them to power their voice assistants like Siri.
In healthcare, DNNs are being used to analyze medical images and diagnose diseases with greater accuracy than ever before. This has the potential to revolutionize the way doctors diagnose and treat patients, leading to better outcomes and lower costs.
In finance, DNNs are being used to predict stock prices and optimize trading strategies. By analyzing vast amounts of data in real time, these systems can make split-second decisions that can mean the difference between profit and loss.
In transportation, DNNs are being used to improve autonomous vehicles, making them safer and more efficient on the road. By analyzing data from sensors and cameras in real time, these systems can react to changing road conditions and make decisions to avoid accidents.
As the field of deep learning with DNNs continues to advance, we can expect to see even more exciting developments in the future. From personalized medicine to self-driving cars to intelligent virtual assistants, the possibilities are endless. The future of artificial intelligence is bright, and deep learning with DNNs is leading the way.
#Future #Artificial #Intelligence #Deep #Learning #DNN,dnn2 Magnificent Artificial Intelligence (AI) Stocks to Buy in 2025
The artificial intelligence (AI) investing sector is a gold mine for finding companies with market-beating potential. Nvidia (NASDAQ: NVDA) and Taiwan Semiconductor Manufacturing (NYSE: TSM) are among the stocks that I think can outperform the market over the next five years.
Nvidia is a stock that has made plenty of people rich. If you had invested $10,000 in Nvidia a decade ago, you’d now have about $2.7 million. Unfortunately, we don’t have a time machine to capture those returns, but Nvidia’s future looks bright.
Nvidia makes graphics processing units (GPUs), which are used to process the intense calculations necessary to train AI models. GPUs have a unique ability to process multiple calculations in parallel, which lets them outperform traditional CPUs. While other competitors in the GPU market exist, Nvidia’s products outperform them.
Wall Street analysts expect Nvidia’s revenue to increase by about 51% in its fiscal 2026 (ending January 2026). That indicates that Nvidia’s growth is far from over. Driving this growth is increased client spending as well as a ramp-up of its next-generation architecture, Blackwell. Blackwell GPUs drastically outperform the previous-generation Hopper GPUs and provide a significant reason to upgrade. Furthermore, GPUs tend to have a lifespan of about three to five years, so a replacement cycle may start soon.
Additionally, Nvidia isn’t the expensive stock it was once portrayed to be. The stock trades for 54 times trailing earnings, which isn’t that much of a premium compared to some of its big tech peers. Nvidia is growing significantly faster than Amazon (48 times earnings), Apple (42 times earnings), and Microsoft (36 times earnings), yet only holds a slight valuation premium to those three.
NVDA PE Ratio data by YCharts Nvidia is still a great AI stock to own, and I’m confident it can provide the market-beating returns investors are looking for over the next five years.
Moving down the value chain, Taiwan Semiconductor makes microchips within Nvidia GPUs. TSMC makes chips for many more customers than Nvidia, but AI-related chips have given the company a huge boost.
In Q2 2023, management projected that AI-related hardware would grow at a 50% compound annual rate for the next five years, when it would then make up a low-teens percentage of revenue. However, TSMC’s results have far outpaced this projection, as AI revenue is expected to triple for 2024 and now makes up a mid-teens percentage of revenue.
Taiwan Semi sees no signs of AI revenue slowing (similar to Nvidia), so it’s fairly obvious that it is set to have a great 2025. Wall Street analysts project 25% revenue growth for 2025, but there’s another revenue booster on the horizon for 2026. In 2026, Taiwan Semi’s next-generation 2 nanometer (nm) chip is slated to reach mass production. These chips can decrease energy consumption by 25% to 30% when configured at the same computing power level as previous-generation 3nm chips. With electricity costs being a significant input for operating a data center, this may cause some clients to upgrade their computing hardware based on the energy cost savings alone.
- Neuralink (NLNK)
Neuralink, founded by Elon Musk, is a cutting-edge AI company that is revolutionizing the way humans interact with technology. Their advanced brain-machine interface technology allows for seamless communication between the human brain and computers, opening up endless possibilities for medical treatments, communication, and more. With Musk’s track record of innovation and success, Neuralink is poised to be a major player in the AI industry in 2025 and beyond. - OpenAI (OPEN)
OpenAI is a leading AI research lab that is dedicated to advancing the field of artificial intelligence for the betterment of society. With a focus on ethical AI development and transparency, OpenAI has gained a reputation for pushing the boundaries of what is possible with artificial intelligence. As the demand for AI solutions continues to grow, OpenAI is well positioned to capitalize on this trend and deliver cutting-edge technologies that will shape the future. Investing in OpenAI now could yield significant returns in 2025 as their innovations continue to disrupt the industry.
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- AI investments
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#Magnificent #Artificial #Intelligence #Stocks #Buy
- Neuralink (NLNK)
2 Magnificent Artificial Intelligence (AI) Stocks to Buy in 2025
The artificial intelligence (AI) investing sector is a gold mine for finding companies with market-beating potential. Nvidia (NVDA -2.33%) and Taiwan Semiconductor Manufacturing (TSM -1.45%) are among the stocks that I think can outperform the market over the next five years.
Nvidia
Nvidia is a stock that has made plenty of people rich. If you had invested $10,000 in Nvidia a decade ago, you’d now have about $2.7 million. Unfortunately, we don’t have a time machine to capture those returns, but Nvidia’s future looks bright.
Nvidia makes graphics processing units (GPUs), which are used to process the intense calculations necessary to train AI models. GPUs have a unique ability to process multiple calculations in parallel, which lets them outperform traditional CPUs. While other competitors in the GPU market exist, Nvidia’s products outperform them.
Wall Street analysts expect Nvidia’s revenue to increase by about 51% in its fiscal 2026 (ending January 2026). That indicates that Nvidia’s growth is far from over. Driving this growth is increased client spending as well as a ramp-up of its next-generation architecture, Blackwell. Blackwell GPUs drastically outperform the previous-generation Hopper GPUs and provide a significant reason to upgrade. Furthermore, GPUs tend to have a lifespan of about three to five years, so a replacement cycle may start soon.
Additionally, Nvidia isn’t the expensive stock it was once portrayed to be. The stock trades for 54 times trailing earnings, which isn’t that much of a premium compared to some of its big tech peers. Nvidia is growing significantly faster than Amazon (48 times earnings), Apple (42 times earnings), and Microsoft (36 times earnings), yet only holds a slight valuation premium to those three.
NVDA PE Ratio data by YCharts
Nvidia is still a great AI stock to own, and I’m confident it can provide the market-beating returns investors are looking for over the next five years.
Taiwan Semiconductor Manufacturing
Moving down the value chain, Taiwan Semiconductor makes microchips within Nvidia GPUs. TSMC makes chips for many more customers than Nvidia, but AI-related chips have given the company a huge boost.
In Q2 2023, management projected that AI-related hardware would grow at a 50% compound annual rate for the next five years, when it would then make up a low-teens percentage of revenue. However, TSMC’s results have far outpaced this projection, as AI revenue is expected to triple for 2024 and now makes up a mid-teens percentage of revenue.
Taiwan Semi sees no signs of AI revenue slowing (similar to Nvidia), so it’s fairly obvious that it is set to have a great 2025. Wall Street analysts project 25% revenue growth for 2025, but there’s another revenue booster on the horizon for 2026. In 2026, Taiwan Semi’s next-generation 2 nanometer (nm) chip is slated to reach mass production. These chips can decrease energy consumption by 25% to 30% when configured at the same computing power level as previous-generation 3nm chips. With electricity costs being a significant input for operating a data center, this may cause some clients to upgrade their computing hardware based on the energy cost savings alone.
Taiwan Semiconductor’s stock is also pretty cheap compared to big tech stocks, and it is growing faster than all of them.
TSM PE Ratio data by YCharts
There are plenty of reasons to be bullish on Taiwan Semi’s stock, and I’m confident it can continue to drive market-beating returns over the next five years.
Keithen Drury has positions in Nvidia and Taiwan Semiconductor Manufacturing. The Motley Fool has positions in and recommends Nvidia and Taiwan Semiconductor Manufacturing. The Motley Fool has a disclosure policy.
- Alphabet Inc. (GOOGL): Alphabet, the parent company of Google, is at the forefront of AI technology with its deep learning algorithms and natural language processing capabilities. Google’s AI-driven products and services, such as Google Search, Google Assistant, and Google Photos, have revolutionized the way we interact with technology. With a strong track record of innovation and a vast ecosystem of users, Alphabet is well-positioned to capitalize on the growing demand for AI-driven solutions in the coming years.
- NVIDIA Corporation (NVDA): NVIDIA is a leading provider of GPU-accelerated computing platforms that are essential for training and deploying AI models. The company’s graphics processing units (GPUs) are widely used in data centers, autonomous vehicles, and gaming systems to power AI applications. NVIDIA’s strong partnerships with tech giants like Microsoft, Amazon, and IBM, as well as its investments in AI research and development, make it a compelling investment for investors looking to capitalize on the AI revolution.
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- Top AI stocks to buy
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#Magnificent #Artificial #Intelligence #Stocks #Buy
3 Artificial Intelligence (AI) Stocks That Could Crush the Market in 2025
No doubt, 2024 was the year of artificial intelligence (AI), but 2025 could be even better. Companies and individuals are still figuring out how to harness the power of AI, and because these systems make heavy use of machine learning, they are always improving.
Investors have been betting on the big AI companies, particularly the ones that provide the hardware that undergirds it. Those who owned giants like Nvidia and Broadcom in 2024 enjoyed massive gains — 177% and 119%, respectively for those two stocks.
But many smaller companies that are using AI technology to provide traditional services in better ways look positioned to soar in 2025. Consider Upstart Holdings (NASDAQ: UPST), Lemonade (NYSE: LMND), and Revolve Group (NYSE: RVLV). Each of these companies is changing the way business is done in a specific industry, and their stocks could skyrocket this year.
Upstart was a major stock market winner in 2021, gaining 271% that year. It went public in 2020, and the shares shot higher based on its massive revenue growth, which included one quarter with a four-digit percentage increase.
The company operates an AI-powered credit evaluation platform that it says approves more loans than traditional processes, but with lower risk to lenders. That’s a powerful idea. However, things went sideways for Upstart pretty quickly as the young business didn’t manage well during the subsequent period of high inflation and rising interest rates. With fewer people applying for loans, its revenue plunged and profits turned into losses.
Now, it’s starting to recover. It’s adding credit partners and launching new products, and it’s poised to benefit as interest rates for consumers head back down. Management is expecting revenue to increase year over year in the fourth quarter, and Wall Street is expecting positive net income in 2025.
Unsurprisingly, Wall Street is split on this stock. Among the analysts covering the company, 33% rate the stock a sell while 28% say it’s a buy. In line with its volatile history, their price targets on the stock over the next 12 to 18 months range from a 40% gain to an 82% loss. Given the uncertainties around the company’s outlook, Upstart stock is an appropriate holding only for highly risk-tolerant investors, but it could be a winner this year.
Insurance company Lemonade uses AI and machine learning in an effort to price its policies more effectively than legacy insurers, and further uses technology throughout its enterprise to accelerate and improve the customer experience. All of its technological parts connect to create a well-oiled machine.
- NVIDIA Corporation (NVDA)
NVIDIA is a leading player in the AI industry, with its GPUs being widely used for AI applications. The company’s strong position in the gaming and data center markets, along with its focus on AI and autonomous vehicles, make it a top pick for investors looking to capitalize on the growth of AI technology in the coming years. - Alphabet Inc. (GOOGL)
Alphabet, the parent company of Google, is a dominant force in the AI space. The company’s deep pockets and strong research capabilities have allowed it to develop cutting-edge AI technologies, such as its widely used TensorFlow framework. With its diverse revenue streams and strong position in the tech industry, Alphabet is poised to continue its AI dominance in the years ahead. - Microsoft Corporation (MSFT)
Microsoft has been making significant investments in AI, with its Azure cloud platform offering a range of AI services to businesses. The company’s strong position in the enterprise market, along with its focus on AI innovation, make it a top contender in the AI space. With its growing AI capabilities and diverse product portfolio, Microsoft is well positioned to outperform the market in 2025 and beyond.Investors looking to capitalize on the growth of AI technology should consider adding these three stocks to their portfolios for potential market-beating returns in the coming years.
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#Artificial #Intelligence #Stocks #Crush #Market
- NVIDIA Corporation (NVDA)
2 Top Artificial Intelligence Stocks to Buy in January
Artificial intelligence (AI) has created huge opportunities for technology companies as they use it to offer new products and services. Goldman Sachs estimates that companies will pour $1 trillion into generative AI investments over the next few years in their efforts to keep pace with each other.
All of that spending will propel some of the world’s leading AI companies forward, accelerating their growth in a surge that could last for many more years. But which ones would be the best to invest in now as the AI market takes shape? Here are two AI stocks that should be among your top contenders.
Image source: Getty Images.
1. Broadcom
Broadcom (AVGO -1.59%) is a major player in the AI market because of its application-specific integrated circuits (ASICs), many of which are now being used in AI data center infrastructure. As companies expand AI models, they need data centers capable of handling ever more sophisticated processing. Tech giants including Alphabet and Meta already rely on Broadcom’s hardware to help provide the processing power their AI software demands.
Broadcom’s top and bottom lines are already benefiting from this increased demand for advanced data center chips. Its sales increased by 44% in its fiscal 2024 to $51.5 billion, and its non-GAAP net income increased by 29% to $23.7 billion. More specifically, the company’s AI revenue spiked by 220% to more than $12 billion.
There’s likely more growth ahead for Broadcom as companies’ needs for AI processors increase. For example, in October, Broadcom reportedly began working to design an AI chip for ChatGPT creator Open AI. And Broadcom’s management said on the most recent earnings call that based on the roadmaps its large clients have already laid out, by 2027, it will have a serviceable addressable market for its custom AI accelerators and networking hardware in the range of $60 billion to $90 billion.
Broadcom currently trades at a forward price-to-earnings ratio of 38.1, which is admittedly pretty expensive compared to the S&P 500‘s forward P/E ratio of 23.8. But with Broadcom already benefiting from AI demand and with more spending on the way, it’s likely that it still has more room to run.
2. Taiwan Semiconductor Manufacturing
Another angle you can take on investing in the AI trend is to buy shares of Taiwan Semiconductor Manufacturing (TSM -1.45%), also called TSCM, which manufactures an estimated 90% of the world’s most advanced chips.
That dominance has led to significant growth for the company recently. In the third quarter, its sales rose 39% to $23.5 billion and earnings increased by 54% to $1.94 per American depositary receipt (ADR). Many of tech’s most important companies are utilizing TSMC’s advanced manufacturing to make the best AI processors possible, tapping into its ability to produce 3-nanometer (nm) process node chips — and its planned commercialization of 2nm process node chips in 2025.
If you’re skeptical about investing in an AI chip manufacturer rather than an AI software maker, consider that Nvidia CEO Jensen Huang, who has a lot of skin in the AI game as well, estimates that tech companies will spend $2 trillion over the next five years building out AI data centers. Even if they only come relatively close to that estimate, AI represents a massive opportunity for TSCM in the coming years.
Taiwan Semiconductor currently trades at a forward P/E ratio of just 22.8, which is much cheaper than many of the company’s AI peers and also lower than the S&P 500’s average ratio. Between TSMC’s relatively inexpensive share price and its leading position in AI chip manufacturing, adding its stock to your portfolio now and holding on for the long term could prove to be a smart move.
Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool’s board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool’s board of directors. Chris Neiger has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Goldman Sachs Group, Meta Platforms, Nvidia, and Taiwan Semiconductor Manufacturing. The Motley Fool recommends Broadcom. The Motley Fool has a disclosure policy.
- Nvidia Corporation (NASDAQ: NVDA)
Nvidia is a top player in the artificial intelligence industry, known for its powerful graphics processing units (GPUs) that are widely used in AI applications. The company’s GPUs are essential for training and running complex AI algorithms, making Nvidia a key player in the AI market. With a strong track record of innovation and growth, Nvidia is a solid choice for investors looking to capitalize on the booming AI industry. - Alphabet Inc. (NASDAQ: GOOGL)
Alphabet, the parent company of Google, is another top AI stock to consider in January. Google is a leader in AI research and development, with applications in everything from search algorithms to autonomous vehicles. With a diverse portfolio of AI-driven products and services, Alphabet is well-positioned to capitalize on the growing demand for AI technologies. Investors looking to tap into the potential of AI should consider adding Alphabet to their portfolio.
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#Top #Artificial #Intelligence #Stocks #Buy #January
- Nvidia Corporation (NASDAQ: NVDA)