NVIDIA AI’s Post

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March has been buzzing with groundbreaking advancements in artificial intelligence! Check out the highlights: 🔹 Nvidia unveiled its latest AI super chip, boasting double the power of the B200 chip. With a price range between $30,000 and $40,000, this chip is set to revolutionize AI computing. 🔹 Microsoft made a strategic move by appointing Mustafa Suleyman, Co-Founder of DeepMind, as the CEO of their new AI unit, signaling a strong commitment to AI innovation. 🔹 Collaborating for innovation, Nvidia and Novo Nordisk are joining forces to develop a cutting-edge supercomputer designed for both public and private applications. 🔹 Devin, representing Cognition Labs, introduced a groundbreaking generative AI solution tailored for software engineering. The unveiling has piqued the interest of teams like ours at Robotto, eager to explore its potential in delivering top-notch software solutions to our clients. Exciting times are ahead for the AI community! Stay tuned for more updates. #AI #Innovation #Technology #ArtificialIntelligence

AI is the talk of the town, and for a good reason. Intel just dropped new AI chips to challenge Nvidia and AMD. But with great power comes great responsibility—current and former AI employees are waving red flags about transparency. Meanwhile, Nvidia's NIM is speeding up enterprise AI deployments, and Forbes is debating if AI will save the planet or our jobs. Spoiler: It's complicated. Cisco's throwing $1B into the AI pot, while hedge funds are ditching software stocks, unsure of who'll win the AI race. And if you're wondering if you should still study computer science with AI writing code, the answer is yes—applications at UC Berkeley are up 48%. In Toronto, we’re embracing AI to help small businesses thrive. Let’s ride the wave together! 🌊 #aiforsmallbusiness #supportlocal #toronto 🤖 P.S. This post is brought to you by our AI sidekick. It's all part of our playful experiment in AI creativity. Remember, always bring your own human judgment to the mix.

I was delighted by this insightful interview with Nvidia's founder and CEO, 𝑱𝒆𝒏𝒔𝒆𝒏 𝑯𝒖𝒂𝒏𝒈, at the World Government Summit 2024. Here are my takeaways: 🌋 𝑾𝒆 𝒂𝒓𝒆 𝒂𝒕 𝒕𝒉𝒆 𝒃𝒆𝒈𝒊𝒏𝒏𝒊𝒏𝒈 𝒐𝒇 𝒕𝒉𝒆 𝑵𝒆𝒘 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒊𝒂𝒍 𝑹𝒆𝒗𝒐𝒍𝒖𝒕𝒊𝒐𝒏, which is a revolution in the production of intelligence. It marks the end of general-purpose computing and the beginning of accelerated computing. Over the last 10 years, computing and AI have advanced by 1 million times. Whatever domain you think will power the world, you must also consider that it will do so one million times larger, faster, and more efficiently. 💠 𝑻𝒉𝒆 𝒐𝒑𝒆𝒏-𝒔𝒐𝒖𝒓𝒄𝒆 𝑳𝑳𝑴 𝒎𝒐𝒅𝒆𝒍𝒔, combined with the democratization of high-performing computers and AI infrastructure, are empowering AI researchers in every region and every country. ⚜ 𝑺𝒐𝒗𝒆𝒓𝒆𝒊𝒈𝒏 𝑨𝑰 𝒂𝒏𝒅 𝑵𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 - Every country needs to own its own data (national history, language, societal intelligence, cultural code, common sense), refine that data, and own its own National Intelligence. A nation cannot allow this to be done by others. The country should codify the language and data of its culture into its own LLM and build an infrastructure for AI as quickly as possible. ( 𝐹𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛 𝑜𝑛 𝑡ℎ𝑒 𝑆𝑜𝑣𝑒𝑟𝑒𝑖𝑔𝑛 𝐴𝐼 𝑐𝑜𝑛𝑐𝑒𝑝𝑡, 𝑐ℎ𝑒𝑐𝑘 𝑜𝑢𝑡 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: ℎ𝑡𝑡𝑝𝑠://𝑤𝑤𝑤.𝑙𝑖𝑛𝑘𝑒𝑑𝑖𝑛.𝑐𝑜𝑚/𝑝𝑢𝑙𝑠𝑒/𝑠𝑜𝑣𝑒𝑟𝑒𝑖𝑔𝑛-𝑎𝑖-𝑠𝑒𝑐𝑜𝑛𝑑-𝑤𝑎𝑣𝑒-𝑎𝑟𝑡𝑖𝑓𝑖𝑐𝑖𝑎𝑙-𝑖𝑛𝑡𝑒𝑙𝑙𝑖𝑔𝑒𝑛𝑐𝑒-𝑝𝑎𝑏𝑙𝑜-𝑐ℎ𝑎𝑣𝑒𝑧-𝑏𝑣𝑎𝑧𝑒/). 🔏 𝑻𝒉𝒆 𝒕𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒚 𝒅𝒊𝒗𝒊𝒅𝒆 𝒉𝒂𝒔 𝒄𝒍𝒐𝒔𝒆𝒅.  Nobody has to program, and everyone in the world is becoming a programmer with human language becoming a programming language. Every company/government can envision that everyone in the company is a technologist. The technology leadership of other countries has now been reset. The countries and people that understand how to solve domain problems can utilize technologies to automate work and amplify productivity. 𝑇ℎ𝑒𝑟𝑒 𝑎𝑟𝑒 𝑚𝑎𝑛𝑦 𝑚𝑜𝑟𝑒 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 𝑖𝑛 𝑡ℎ𝑒 23-𝑚𝑖𝑛𝑢𝑡𝑒 𝑖𝑛𝑡𝑒𝑟𝑣𝑖𝑒𝑤. 𝐶ℎ𝑒𝑐𝑘 𝑖𝑡 𝑜𝑢𝑡:  https://lnkd.in/dhpuUxSC

𝐍𝐕𝐈𝐃𝐈𝐀 𝐂𝐄𝐎 𝐨𝐧 𝐀𝐈: 𝐍𝐨 𝐍𝐞𝐞𝐝 𝐭𝐨 𝐂𝐨𝐝𝐞, 𝐒𝐭𝐮𝐝𝐲 𝐁𝐢𝐨𝐥𝐨𝐠𝐲 Jensen Huang recently discussed the transformative impact of AI and digital biology. I liked the fact that he talked about new industrial revolution, rethinking programming, and the exciting frontier of digital biology. The fact that purpose of AI is to democratize creation and innovation, making programming accessible to all. As someone passionate about technology, I wholeheartedly agree with him. AI’s ability to eliminate coding barriers is revolutionary. Moreover, the convergence of AI and biology holds immense promise. Let’s embrace this fusion and shape a future where creativity knows no bounds. https://lnkd.in/eZpsxPgq

Earlier this year, Jensen Huang - Founder / CEO of Nvidia - opined the following when asked where he thought the next amazing revolution was going to come from: - (Text transcribed verbatim) ***************** "This is going to be flat out one of the biggest ones ever, and I told you I was going to tell you, and I'm going to tell you. There's no question that digital biology is going to be it. For the very first time in our history, in human history, biology has the opportunity to be engineering, not science. When something becomes engineering, not science, it becomes less sporadic and exponentially improving. It can compound on the benefits of the previous years, and every company's contributions, every research's contributions, compound on each other. For the very first time, we know how to represent biology, understand the language of biology. We can represent the language of chemistry. It's never happened before. And now we're going to have incredible tools that bring the world of biology, which is very chaotic and constantly changing, and very diverse and complex, and bring it into the world of computer science. And that is going to be profound. And so if you happen to love this intersection, I think it's going to be rich with opportunities. It's going to be a giant industry." ***************** Now if you take this thesis and apply it to the world of #ClinicalDevelopment / #ClinDev in #LifeSciences, the opportunities to leverage #AI cuts across: * optimizing trial design * patient recruitment and retention * data analysis and prediction And the impact on the speed, cost, and efficacy of new therapeutics will be profound. And so I am really looking forward to joining some of the best minds in the intersection of AI and Life Sciences including Adam Petrich, MD | Arnaub Chatterjee | Prof Ava Amini from MSFT | Charbel Haber from Moderna | Fred Martin | Ittai Harel | Thaminda Ramanayake | Jasmine LaCoursiere | Gaurav Singal, MD former Chief Data Officer from Foundation Medicine | Orr Inbar | Sean Hilscher | Thorsten Wirkes from Bertlessman at the world's first AI Summit focused on clinical development in Boston on May 30th. Together we hope to demystify the role of AI in Clinical Development, discuss the risks and regulatory issues surrounding this field, and real-world applications and success stories, and the venture capital investment happening in this area. Apply to join us on May 30th - https://qhsummit24.com/

Our CastCrafter AI Analyst has been hard at work analyzing the active podcast discussions around NVIDIA's recent blockbuster earnings report. The key highlights: - $26 billion in revenue, up a staggering 262% - $15 billion in profit, soaring over 600% - Shares jumping 7% after-hours to cross the $1,000 mark Kudos to NVIDIA on a truly remarkable quarter, creating immense wealth for employees and investors alike. However, CastCrafter's advanced approach, which marries the power of large language models (LLMs) with optimized tabular machine learning models, also identified some potential risk factors: - Concerns about an overheated AI market bubble - Rising competition in the AI chip space threatening NVIDIA's dominance - Questions around the sustainability of NVIDIA's lofty valuation, which assumes dominance of yet-to-emerge markets - The historically cyclical nature of the semiconductor industry By combining the strengths of these two AI paradigms, CastCrafter generates uniquely comprehensive and nuanced analyses. The key principle behind this approach is that the only way to truly learn from the past in a manner that's reliably transferable to the future is by building causal models of the factors driving previous events. The result: CastCrafter's AI Analyst arrives at a cautiously optimistic sentiment score of 23 on a -100 to 100 scale for NVIDIA's earnings, reflecting a balanced assessment of both the company's impressive financial performance and the potential challenges on the horizon. Eager to dive deeper into CastCrafter's one-of-a-kind AI analysis? Subscribe to the CastCrafter newsletter here: https://lnkd.in/eUX9ieKH Interested in tailored, direct access to harness CastCrafter's powerful insights for your own needs? Reach out to me here on LinkedIn or email me at [email protected] to discuss further. Disclaimer: Not financial advice. Always do your own research. #NVIDIA #EarningsReport #ArtificialIntelligence #AIAnalysis #Investing #Altbridge

Nvidia’s second-quarter earnings prove there is money to be made. “A new computing era has begun. Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI,” Nvidia founder and CEO Jensen Huang said in a statement. Nvidia has become the main supplier of the generative AI industry. The company’s A100 and H100 AI chips are used to build and run AI applications, notably OpenAI’s ChatGPT. Demand for these demanding applications has grown steadily over the last year, and infrastructure is shifting to support them. #investing #stocks #itifin #itifinIndex #sentiment #marketsentiment #stockmarket #us #europe #ratio #essential #economics #riskmanagement #portfolio #portfoliomanagement #marketgauge #invest #investor #success #entrepreneu #nvidia