Waabi’s Post

Our CEO and Co-founder, Omer David Keilaf, recently appeared on Tech Talk, Relevant’s talk show on everything high-tech related! During the interview, Omer offered valuable insights into the world of #AutonomousVehicles, discussing Innoviz's journey and the unique landscape of the auto-tech industry. Omer discussed the geopolitical factors shaping the industry, and what makes Israel a comfortable location for emerging Israeli innovation such as Innoviz and Mobileye . Watch the full interview in #Hebrew to gain a deeper understanding of our vision for a safer and more intelligent transportation future!

This Week’s Fascinating Tech Stories (Through September 2)

Today's topics: -Spotlight Debug Tool by Sentry -Liquid AI's Funding and Liquid Neural Networks -Government Surveillance via App Notifications -Reliable Robotics' Autonomous Cargo Flight -Google's Multimodal AI Model Gemini -TikTok's 2023 Year in Review -Choosing the Right Startup to Work For -Google Cloud's TPU v5p and AI Hypercomputer -Space Cooling Technology for Buildings -Sundar Pichai on AI's Potential and Challenges -SQLite's Performance Boost with JSONB -Apple's Upcoming iPad and MacBook Releases -Sam Altman Named TIME's CEO of the Year -Andreessen Horowitz's Big Tech Ideas for 2024

Thursday at 10:30am at #ICRA2024 come check out a recent T-RO paper on learning to predict dynamic scenes to enable indoor navigation by researchers at University of Toronto and Apple. https://lnkd.in/gGWdDsXE Paper title: The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Authors: Hugues THOMAS, Jian Zhang and Timothy Barfoot Paper link: https://lnkd.in/gGWdDsXE Image caption: Anecdotal example showing the benefit of our Deep-SOGM predictions on a real robot. Without predictions, the robot sees an obstacle on its left and plans to go on the right. But the person is walking in that direction, forcing the robot to stop. With our predictions, the robot anticipates the person's movement and makes a plan to yield, without having to stop. #LaserRadar #HeuristicAlgorithms #DeepLearninginRobotics #LearningandAdaptiveSystems

📌 XAI-2024 - Mediterranean Conference Centre | Valletta | Malta 📆 July 17-19 ⭕ Human-in-the-loop testing of the explainability of robot navigation algorithms in extended reality 🎙️Chairs: Jérôme Guzzi - Alessandro Giusti [Dalle Molle Institute for Artificial Intelligence (IDSIA), USI-SUPSI, Lugano, Switzerland] 💡 Our research targets navigation algorithms for autonomous wheelchairs in the context of the Horizon Europe project REXASI-PRO (REliable & eXplAinable Swarm Intelligence for People with Reduced mObility) that is developing trustworthy-by-design tools to help people with reduced mobility. To test the system, we need to implement and demonstrate a solution where users experience variable legibility, predictability, and explainability of the robot navigation algorithms, depending on if and how the robots explicitly communicate their intentions. #TrustWorthyAICluster

#TBT: We're looking back at our #CES2023 report from January to see how these tech trends have held up as the year progresses. From demos in transportation to at-home diagnostics and robotic toys, the breadth of innovation is limitless. Aside from AI, what trends do you believe had the biggest impact so far? What do you predict is still to come for the rest of 2023? #innovation #productdesign #emergingtech

I'm looking forward to attending the Battery Tech Expo next week! If you're interested in learning how to utilize data-driven AI models to predict battery performance and reduce testing time without compromising coverage or safety, let's catch up there. #machinelearning #artificialintelligence #batterytechnology

We are excited to share that our visiting researcher Xiaolin He from TU Delft and our colleague Zirui Li have been awarded 3rd place in the ROAD MODE category at the TRA VISIONS 2024 Young Researcher Competition, hosted by Transport Research Arena (TRA).    The project, titled “Are you scared of automated vehicles? European-level online survey and AI reveal crucial factors for the perceived risk of automated driving”, seeks to enhance our understanding of the perceived risk associated with automated vehicles. By aligning human perception with technological advancements, it aims to enhance public acceptance and ensure the safety of these innovations. This recognition has been made possible with the support of ERTRAC - European Road Transport Research Advisory Council, a key acknowledgment of our efforts in advancing the field of automated vehicle technology. This project got the guidance and support of Prof. Meng Wang and Prof. Riender Happee, and the significant contributions of Dr. Xinwei Wang.   #TRAVISIONS2024 #TransportResearchArena #AutomatedVehicles #UserPerception #HumanFactors #ResearchImpact

New Blog Post from e-con Systems: "What are Vision Systems? Everything You Need to Know in 2023"

The article reminds even after two years of publishing the history and future of innovation the AI, Robots & Drones and cleantech are the future for next 25 years. As the climate challenge intensify the cleantech may reshape business models and consumption patterns. https://lnkd.in/dgXQAWTi