Hirundo’s Post

Investing in AI: The Importance of Data Quality With human lives at stake, even minor AI errors can lead to tragic road accidents. That's why data quality is paramount in autonomous driving and AI applications. The recent discovery and resolution of issues in 10% of the BDD100K dataset by Hirundo highlight a critical aspect of AI development. 🔹 Data is the Lifeblood of AI: High-quality data is essential for training reliable AI and machine learning models. The old saying "the output is only as good as the input" holds especially true in this context. 🔹 Addressing Mislabeling: It's well known that both popular and proprietary datasets can contain more than 10% mislabeling. Ensuring data accuracy is crucial for the success of AI technologies. 🔹 Unlocking AI Potential: At Tachles VC, we invest in companies like Hirundo that are dedicated to enhancing AI infrastructure. Their work in improving data quality is a testament to the kind of innovation we support. By focusing on the integrity of data, we can unlock the true potential of AI and pave the way for safer, more reliable autonomous technologies. #VentureCapital #AI #MachineLearning #DataQuality #AutonomousDriving #Innovation #TechInvesting #AIInfrastructure

Not all steps are equal. One step in your bedroom isn't the same as one step in the woods. Many machine learning consultants or solution providers don't acknowledge this fact when discussing the leap into machine learning with their clients. Asking a company to put its trust in a machine, however intelligent, isn't a small ask. To wit: 66% of drivers are still afraid of riding in autonomous vehicles. And the % is going up........ #Akkio #machinelearning #AI #dataanalytics

Thank you for the mention! It's inspiring to witness the application of Reinforcement Learning, especially in the context of self-driving cars. As a data scientist, I'm passionate about leveraging innovative technologies like this to drive meaningful insights and advancements. Keep up the great work! 🚀 #ai #DataScience #technology

#AI #ArtificialIntelligence #Technology: Introducing 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 demo- with 𝗣𝗨𝗣𝗣𝗜𝗘𝗦! 🐶🐶🐶 In the world of AI, Reinforcement Learning is truly a star, and the basis of things like self-driving cars/ autonomous vehicles. It contains a few elements: ▶ Problem to be solved ▶ An agent, who is observed trying to solve the problem ▶ Reward/ penalty functions ▶ Scoring system Just like these adorable puppies, who serve as our agents, trying to learn how to reach the treats, our agents try to figure out the problem. Each puppy's success or failure is recorded, and the reinforcement learning system eventually solves the puzzle! Enjoy! T. Scott Clendaniel

From enhancing your morning routine with #AI to powering complex applications like autonomous vehicles, the latest Welo Data guide, “Behind the Code: The Human Force Powering AI Innovation,” reveals the critical role of human touch in AI development. Discover how human intelligence powers AI effectiveness - read the guide now 🔗 https://lnkd.in/eTKF6K5x #ElevateyourData #DataLabeling #Innovation #Technology #WeloData #BusinessOutcomes Louise Law Siobhan Hanna Sarha Mavrakis Damien Norris Giancarlo Mora

Traveling quickly and safely in self-driving trains on public transport. This is already a reality in many major cities. But how exactly does autonomous driving work in rail transport and what challenges still need to be overcome? Read the blog article “Safe and driverless public transport” to find out what contribution AI can make to driverless trains and how Fraunhofer IKS is safeguarding them: https://lnkd.in/eJzMjUxx #autonomousdriving #ai #safety #SafeIntelligence

How can we recognize, understand and predict pedestrian behavior for developing autonomous vehicles that can safely and effectively function in the urban context? Initial work by my post-docs and students (Jia Huang, Peng Jiang, Alvika Gautam) in our lab tries to answer this by using GPT-4V #openai #gpt4 #autonomousvehicles Our findings reveal that GPT- 4V exhibits significant promise in interpreting and predicting pedestrian behavior within complex traffic scenarios. It can figure out variety of pedestrian actions and effectively analyze group dynamics. While it does work well in multiple situations, it still has issues with consistency as well as reliability. Fine tuning these large language models would enable to test the efficacy of this. To find out how well GPT-4 works look at https://lnkd.in/eyHQb_sS

the influence of AI in the automotive sector? Discover how autonomous cars are taking advantage of this technology to transform the way we drive! 🌐 #AI #VoitureAutonome #TechnologieAutomobile #ExperienceDeConduite #TempsReéel #vitementDeCollision 🚦 Autonomous vehicles combine sophisticated sensors, neural networks and deep learning algorithms to perceive their environment in real time. With AI, these cars can make decisions based on accurate data analysis, ensuring the safety of all road users. 📡 💥 Beyond safety, AI is also revolutionizing the driving experience. Imagine a self-driving car that anticipates your preferences, adapts to your driving style and makes every ride more enjoyable and comfortable than ever before. 🌟 #XFANTOME #IA #VoitureAutonome #TechnologieAutomobile #ExpérienceDeConduite #DécisionsEnTempsRéel #ÉvitementDeCollision #InnovationAutomobile #MobilitéIntelligente #IntelligenceArtificielle

The future of AI is not just in chatbots or narrow AI applications. It's in AGI that powers autonomous cars, intelligent robots, and more. The direction of industry momentum is toward intelligent, interconnected systems managed by advanced autonomous technology. Creating Autonomous AGI agents is the future direction of AI research-- but with DADA X we have already arrived! OpenAI's approach to AGI was to build the Language interface first, and tackle the Agency problem second. To solve this, the OpenAI CEO Sam Altman has stated it would require $100 Billion in investment for R&D. Decision-Zone's approach was to solve the harder problem - Agency - first. Years of development were needed to create DADA X: Decentralized Autonomous Decisioning Agent. #AGI #6thWave #autonomous

Imagine this: you get an alert that your autonomous driving system is experiencing failures because of detecting ghost potholes on the road. Instead of panicking, do this. 👇 Use FiftyOne Teams to connect your experiment tracking with your data and pinpoint *exactly* where and why the AI is failing. ❌ No waiting ❌ No zip files ❌ No disorganized e-mails or file shares! Read as Dave Mekelburg shares how to avoid costly blindspots in your automotive AI development: https://lnkd.in/ehm5WZqG #AutotmotiveAI #AIInAutomotive #AutomotiveInnovation #AI #VisualAI #ComputerVision