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Search resuls for: "Kanu Gulati"


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☆ Startups are building robots that can perceive the human world. Here's why VC firms like Khosla and a16z say that spatial intelligence will be the next big thing in AI.
  + stars: | 2024-07-09 | by ( Samantha Stokes | Emma Cosgrove | ) www.businessinsider.com   time to read: +7 min
Spatial intelligence allows robots to navigate and interact with their environment more efficiently, which means that robots can perform more complex tasks with higher precision and adaptability. AdvertisementEven so, investors say that spatial intelligence represents a quantum leap for the robotics industry, a space already benefiting from an AI boom. Lior Susan, CEO and founder of Eclipse Ventures, is betting that the difficulty of building AI with spatial intelligence will yield bigger returns in the future. "You see this boom of generative AI startups that are actually buying a lot of compute that do not have a business model yet," Susan said. Big tech is rolling in, tooBigger tech companies are also gearing up to compete in robotics' spatial intelligence race—both as builders and investors.
Persons: —, Andreessen Horowitz, Catalyst, Howard Morgan, Max Rimple, Erin Price, Wright, Fei, Fei Li, Kanu Gulati, Khosla, –, Gulati, Lior Susan, Susan, Jeff Bezos, Jensen Huang Organizations: Service, Khosla Ventures, Business, B Capital, Catalyst, Lightspeed Venture Partners, Coatue Management, Stanford University, Eclipse Ventures, Intelligence, Lux, Sequoia Capital, Microsoft, Nvidia, Carbon Robotics, AIs Locations: LLMs, OpenAI, Lux Capital, Taipei
☆ A 'magic' new AI tech has become the hottest thing in Silicon Valley, VCs said. Here's why everyone's watching 'generative artificial intelligence.'
  + stars: | 2022-11-01 | by ( Stephanie Palazzolo | ) www.businessinsider.com   time to read: +6 min
The field of generative AI, or AI that can create content, has recently exploded in popularity. Generative AI's rise to popularitySimply put, generative AI refers to artificial intelligence that can create content. Tech advancements over the past few years — specifically transformer and diffusion models — have made generative AI possible. AI models refer to the training and deployment of algorithms on a dataset. "I don't see generative AI today through its early use cases demanding any of those budgets quite yet."
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