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Waste sorting is difficult to automate because materials vary in shape, condition, and placement. EverestLabs' Physical AI platform combines computer vision, AI, and robotics to identify more than 60 material classes with over 95% accuracy, using models trained on billions of recyclable objects to improve sorting consistency and efficiency... show more

Wevolver

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41,338 просмотров • 10 дней назад •via X (Twitter)

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The Ameru Smart Bin is an AI-powered waste management solution designed to enhance recycling efficiency in office and public spaces. Equipped with a high-definition 8MP camera, a 10.1-inch full HD touchscreen, and powered by an Nvidia Jetson Orin Nano computing unit, the bin utilizes advanced AI algorithms to identify and sort waste into multiple categories. Video credit: Ameru.ai #engineering #technology #ai #artificialintelligence -------------------------------- Stay ahead of the curve! Follow us now on our WhatsApp ( and Telegram ( channels and stay updated about the cutting edge.

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Trash isn’t just trash anymore. 🗑️ With vision, sensors, and AI, waste becomes a sorting problem — and a real business opportunity. At ZenRobotics - A Terex Brand, robots aren’t just picking. They’re learning. After 15 years of development, their systems now sort everything from bulky construction debris to high-speed conveyor waste with near-perfect precision. The Heavy Picker handles large, awkward materials like stone and scrap. The Fast Picker operates at high speeds, ideal for lighter materials in material recovery facilities. And behind it all is ZenBrain — an AI trained on over 500 waste categories, making real-time decisions without a human in sight. In an industry where consistency is rare and safety is a constant challenge, this kind of robotic reliability isn’t just smart — it’s essential.

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Jensen Huang explains that AI has progressed through four major phases. The first wave was Perception AI, where deep learning enabled superhuman vision and speech recognition. The second wave was Generative AI, allowing AI to create text, images, video, and more. We are now in the third wave, Reasoning AI, where models can think through problems, apply logic, and even conduct research. The fourth wave will be Physical AI, where models gain real-world understanding and common sense, leading to advanced robotics.

Jensen Huang explains that AI has progressed through four major phases. The first wave was Perception AI, where deep learning enabled superhuman vision and speech recognition. The second wave was Generative AI, allowing AI to create text, images, video, and more. We are now in the third wave, Reasoning AI, where models can think through problems, apply logic, and even conduct research. The fourth wave will be Physical AI, where models gain real-world understanding and common sense, leading to advanced robotics.

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Nomagic secures $44M to expand AI-Powered robotic arms! 🇵🇱 Polish robotics startup Nomagic has raised $44 million in Series B funding to improve its AI-powered robotic arms and expand into North America. The European Bank for Reconstruction and Development (EBRD) led the round, which included participation from Khosla Ventures, Almaz Capital, and the European Investment Bank (EIB). Unlike many robotics firms, Nomagic focuses on software. It uses computer vision and machine learning to train robotic arms to handle a variety of objects with greater efficiency and adaptability. The company relies on off-the-shelf hardware like the arms you can see in the video from ABB Robotics, making its solutions more flexible and scalable. Nomagic's annual recurring revenue has grown by 220% over the past year, and another 200% is expected in 2025. So cool to see a Polish company succeed in the robotics space!

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CTO ROBOTICS Media

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Wevolver

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Lukas Ziegler

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Hadi Partovi

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Dr. Fei-Fei Li (Fei-Fei Li), the Godmother of AI, on the origin of computer vision and why spatial intelligence is the next frontier. At AI Startup School in San Francisco. 01:00 - Origins of ImageNet 02:15 - The Dream to Make Machines See 03:28 - A paradigm shift in AI 05:50 - AlexNet and Deep Learning 08:00 - Evolving Computer Vision 12:20 - Building World Labs 13:00 - The next frontier in AI 14:20 - Why Spatial Intelligence Is Harder Than Language 18:40 - Technical Barriers for Vision-Based AI 20:00 - AI is more than LLMs 25:50 - Fei Fei’s Journey 29:30 - Mentoring some of the legends of AI 33:00 - Audience Q&A

Y Combinator

194,393 просмотров • 1 год назад

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

Zhang Heqing

11,384 просмотров • 1 год назад

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