Aditya Thakkur’s Post

𝐃𝐨 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐍𝐯𝐢𝐝𝐢𝐚 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 𝐬𝐜𝐫𝐚𝐩𝐢𝐧𝐠 𝐯𝐢𝐝𝐞𝐨𝐬 𝐟𝐫𝐨𝐦 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐚𝐧𝐝 𝐨𝐭𝐡𝐞𝐫 𝐬𝐨𝐮𝐫𝐜𝐞𝐬, 𝐢𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐍𝐞𝐭𝐟𝐥𝐢𝐱, 𝐭𝐨 𝐜𝐨𝐦𝐩𝐢𝐥𝐞 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐟𝐨𝐫 𝐢𝐭𝐬 𝐀𝐈 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬!! This project, internally named 𝐂𝐨𝐬𝐦𝐨𝐬, aims to train AI models for various applications such as 𝐍𝐯𝐢𝐝𝐢𝐚'𝐬 𝐎𝐦𝐧𝐢𝐯𝐞𝐫𝐬𝐞 𝟑𝐃 𝐰𝐨𝐫𝐥𝐝 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐨𝐫, 𝐬𝐞𝐥𝐟-𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐜𝐚𝐫 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, and "𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐡𝐮𝐦𝐚𝐧" products. The project has not yet been released to the public!! Check the full article here: https://lnkd.in/gNzgFEvD Want to know more about "𝐝𝐢𝐠𝐢𝐭𝐚𝐥 𝐡𝐮𝐦𝐚𝐧" products? Check this https://lnkd.in/gSps5sKp It's an interesting thing😁👆 #AI #nvidia #machinelearning #innovation

There's lots going on in the world of AI. Let me help you make sense of it 🙌 Here are 5 key events from last week 👇🔥 ☑️ Fei-Fei Li, renowned Computer Scientist known s 'godmother of AI', has created a Start-Up called 'World Labs'. Four months in, it's already valued at more than 1 Billion... ☑️ OpenAI release 'GPT-4o mini'. Aimed at being a more cost-effective alternative to GPT-4o, this new model will hopefully help companies utilize GPT without some of the crazy bills attached to it! 😁 ☑️ On the back of last year's FDA clearance, Huma announce an £80,000,000 raise. It's hoped this will help them roll out their cloud-based care platform 🦴👀 ☑️ Ants are the answer to autonomous robots? Well, a group of TU Delft researchers certainly think they might help. Think about how insects always find their way back home... 💭🤔 ☑️ NVIDIA seek to continue their dominance by unveiling new chip for the Chinese AI market. At the moment, it's hard to see how this giant will ever slow down 😅 And remember, follow #beyondthemodel to stay up to date with everything important, and for a reliable way to cut through the noise 👊🤛 Links in the comments! 👇

Thank you, Dr. Ayesha Khanna, for yesterday's insightful "AI in April" Chief session on the intertwining of AI readiness, innovation, and ethics. Even at 9 pm EDT, it was worth tuning in! Sharing a few news highlights we discussed you may have missed: 1. Ready to be a passenger in an AI-driven vehicle? We were split on this one. Tesla plans to unveil its Robotaxi on August 8th, featuring "supervised full self-driving." A bit of a branding irony in my opinion, sounds "almost full" to me. 2. Adobe is rallying for videos of everyday moments to power up its AI text-to-video generator and keep pace with rivals, offering $3 to $7 per video minute—an everyday moment that immediately came to mind: navigating the mishaps of mute buttons and screen sharing. 3. OpenAI is cooking up something big with GPT-5, expected to debut with more advanced reasoning capabilities this summer. What lies ahead? AI models communicating directly with other AI models to complete tasks like booking reservations on OpenTable without human intervention. 4. AI has stirred up déjà vu in the music industry, reminiscent of the Napster saga. Over 200 artists have signed a letter urging AI developers, tech firms, and digital platforms to safeguard their interests, citing concerns about utilizing their work to train AI models without compensation. 5. The era of the CAIO or CDAIO is on the horizon as organizations recognize the need for dedicated leadership. #AIEthics #AIReadiness #AIInnovation #AdobeAI #ArtistsRights #Tesla #Robotaxi #SelfDriving #GPT5 #OpenAI

Module 6, Day 1 & 2: Bringing AI & ML to Life with Practical Implementations I'm thrilled to share my latest learnings from Module 6 of my AI & ML journey! Today, I took my knowledge to the next level by implementing the Stable Diffusion model for image generation and the Tesla Model for object detection on Google Colab. I'm excited to share my practical experience with you! I used Google Colab to bring these models to life, and I've even recorded a video showcasing the results. In the video, you'll see how I used the Stable Diffusion model to generate high-quality images and the Tesla Model to detect objects in real-time. Here are some key takeaways from my practical implementation: Stable Diffusion: I successfully generated realistic images using this model, demonstrating its potential for applications in art, design, and more. Tesla Model: I implemented this model for object detection, achieving impressive results in detecting objects on a highway, including cars and pedestrians. Watch my video to see the models in action: [insert video link] #AI #ML #ComputerVision #ImageGeneration #ObjectDetection #TeslaModel #StableDiffusion #GoogleColab #PracticalImplementation #TechRecruiters #LinkedInGroups Feel free to share your thoughts, experiences, or questions in the comments below!

Microsoft, Nvidia, Amazon and Open AI as well as Ark investments go full robot mode. Smart agile robots. It all started with pouring a cup of coffee. Figure AI. They are working to setup automated retail workers, restaurant workers and warehouse workers. They state industry are not able to staff for these positions in a study…. I have no idea if that’s the case or the study is accurate. I’m not promoting human displacement just keeping people aware… They raised 675 million at 2 billion valuation. These new models again work off RLHF but in virtual sims again. This is basically a giant customer for Microsoft compute as well as Amazon. https://lnkd.in/g3bwCWzb

AI is making an impact in all industries. What else will be changed by AI in the future!?

In today’s fast-paced world, the demand for real-time AI applications is rapidly increasing. Businesses and developers require solutions that are not only efficient and scalable but also integrate seamlessly with existing technologies. TensorStream rises to this challenge, offering a robust C++ converter that transforms raw data into tensors optimized for AI tasks and inference processes. 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐒𝐭𝐫𝐞𝐚𝐦𝐢𝐧𝐠 TensorStream provides a powerful framework designed for high-performance, real-time data processing for neural networks. This ensures smooth and efficient data flow, enabling rapid inference and decision-making processes critical for modern AI applications. 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐋𝐞𝐚𝐝𝐢𝐧𝐠 𝐀𝐈 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 Compatibility and flexibility are at the core of TensorStream. Our platform integrates effortlessly with major AI frameworks like #TensorFlow, #PyTorch, and #Caffe2, allowing developers to leverage the best tools for their specific needs without worrying about compatibility issues. 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐄𝐝𝐠𝐞 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 TensorStream is built to scale, providing reliable performance across both edge devices and cloud infrastructures. Whether you're deploying AI solutions in consumer electronics, smart cities, or autonomous vehicles, TensorStream ensures that your systems operate optimally, regardless of the deployment environment. 𝐉𝐨𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐑𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧 TensorStream is not just a tool; it's a gateway to unlocking the full potential of real-time AI. Our commitment to innovation and excellence means that you can trust TensorStream to power your most critical AI applications. Explore the future of AI with TensorStream. Contact us today to learn how we can help you streamline your neural network processing and achieve new heights in AI performance. For more details, visit our website www.lynkeus.kr and follow our LinkedIn page for the latest updates and insights.

How to Improve Transparency in Blackbox AI Models. Artificial Intelligence (AI) has revolutionized numerous industries by offering solutions that range from autonomous vehicles to healthcare diagnostics and financial predictions. However, many AI models, intense learning models, operate as "black boxes," making decisions in ways that are not easily interpretable by humans. This lack of transparency raises concerns regarding accountability, trust, and ethical implications, especially when these models are deployed in critical areas such as healthcare, criminal justice, and finance. Improving the transparency of blackbox AI models is essential to fostering trust, ensuring fairness, and enabling meaningful human oversight. https://lnkd.in/dU5UPC3e

#Artificial Intelligence (AI) relies on memory much like humans do, using it to process, adapt, and make informed decisions. But how does #MemoryInAI really work, and why is it essential for its growth? My latest blog explores how DRAM (short-term memory) helps AI systems like chatbots respond in real time, while storage (long-term memory) stores vast amounts of data to identify patterns and support predictive decision-making. Learn about how innovations in memory technologies are shaping AI's future, from healthcare to autonomous driving, and the ethical challenges that come with these advancements. If this topic sounds like something you'd enjoy reading, please visit my website: https://lnkd.in/gZ7NiYT2 . #MarketingTransformation #AIMemory #TechInnovation #FutureOfAI

🚀 Data Science, AI, and ML are evolving at lightning speed! From AutoML making machine learning more accessible to the revolutionary use of transformers in NLP. We're seeing major strides in data privacy with tech like homomorphic encryption and AI becoming more transparent with explainable AI innovations. 🌐 The integration into healthcare for personalized treatment, finance for fraud detection, and even automotive with autonomous driving is simply groundbreaking. And let's not forget the robots! They're getting smarter, thanks to AI. 🤖 With AI expected to contribute up to $13 trillion to the global economy by 2030, we're on the cusp of a major transformation across all industries. From IBM Watson Health improving patient outcomes to Tesla's Autopilot enhancing driving safety, the impact is monumental. 🤔 How do you see these advancements affecting your industry in the near future? Let's discuss the endless possibilities! #DataScience #ArtificialIntelligence #MachineLearning