Waabi’s Post

Revolutionizing Mobility: Unveiling my self-driving car simulation powered by cutting-edge computer vision and reinforcement learning! 🚀🚗 Dive into how I've engineered autonomous intelligence from scratch, transforming concepts into tangible innovation. Let's drive the future forward together! #AI #SelfDrivingCars #ComputerVision #ReinforcementLearning #Innovation

From generating a 3D Avatar to driving an autonomous car or capturing a panorama picture on our phone, all these applications use a classic computer vision technique called feature matching. Surprising, right? Feature Matching is the process that takes two images and matches the similar feature points between the input image pairs. In our latest article, we will also learn: Why is feature matching still relevant in the deep learning era? What are the recent advancements in feature matching? What are the applications of feature matching? How do feature-matching algorithms work in code? Link to the article - https://buff.ly/3Wy94j1

Learn more from this Webinar "Efficient generative AI for images and video" where Amirhossein Habibian explains how #teamqualcomm leverage efficient generative models for Autonomous Driving applications: +Generating training data for long-tailed object classes. +Scale up test set by diversifying. +Generating safety critical test scenarios. https://lnkd.in/dKqhYRS8 #genai, #autonomousdriving

In the next few years, we will see almost everything that moves to be autonomous. Check out this insightful video to learn more about the future of autonomous vehicles: https://lnkd.in/dByeDSJF #AutonomousVehicles #FutureOfTransportation #GenerativeAI

The effectiveness of AI models is not solely determined by the quantity of data they ingest, but also by the quality of that data. How do datasets available in the market perform when developing a visual perception algorithm? We have compared the most popular datasets and classified them according to the tasks for which training they have been designed. The ultimate goal, checking their overall performance in training typical tasks of a given visual perception model. 🟢Keep reading if you want to learn more! https://hubs.la/Q02j6jgK0 #Datasets #ComputerVision #DeepLearning #VisualPerception #AutonomousDriving

In real time, all autonomous, Eve robots completing tasks and plug itself back in to recharge. https://lnkd.in/g6vC8dNZ

Continuing my exploration into the field of AI processing hardware, specifically Generative AI acceleration, here are four recent articles of mine: “Long-standing Roadblock to Viable L4L5 Autonomous Driving and Generative AI Inference at the Edge,” published on SemiWiki on Oct 10; “Parsing the Mindboggling Cost of Ownership of Generative AI,” published on EET on Nov 2; “Why Software Is Eating The Hardware,” published on DENA on November/December 2023 [Page 21]; “The 11 Myths of Generative AI,” published on ED on Nov 30, Enjoy the reading. #generativeai #genai #adas #machinelearning #transformers #llm

Generative AI's multimodal range gives it an edge in generating data and unsupervised learning. This boosts prospects in sensitive human-machine collaborative efforts like driving. #ai https://lnkd.in/gQM6Fbac

Wayve Releases GAIA-1 Technical Report to Advance World Models for Autonomy @businesswire: #GAIA1--Wayve, the leading developer of AI-powered self-driving technology, has published a technical report today detailing their generative world model, GAIA-1 (Generative AI for Autonomy), previewe...

🤔 Ever imagined a world where machines could read lips? Dive into the groundbreaking "LipNet" paper! 🔍 LipNet: Unraveling the Mystery of Lip Reading with AI 🚀 LipNet isn't just another AI model; it's a revolution in speech recognition. By analyzing lip movements, it deciphers spoken words with astonishing accuracy. 🌟 Highlights: End-to-End Learning: No need for hand-engineered features. Overlapped Speech Decoding: Understands even when words overlap. State-of-the-Art Results: Outperforms professional lip-readers! 🌐 Implications: From aiding the hearing-impaired to enhancing voice assistants, the potential is vast. 📚 Dive deeper, explore the nuances, and envision a world where machines understand without hearing. Share your thoughts on this AI marvel! #LipNet #SpeechRecognition #AILipReading Demo: https://buff.ly/3PN7y9v Github: https://buff.ly/3ZtRlJn