4.6 • 12 Ratings
🗓️ 11 July 2024
⏱️ 5 minutes
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Skild AI has raised $300 million to continue building its plug-and-play robotic intelligence with the hope of enabling companies to integrate it into robots of all kinds.
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0:00.0 | Here is your Forbes Daily Briefing for Thursday July 11th. |
0:05.0 | Today on Forbes, this $1.5 billion AI company |
0:10.0 | is building a general purpose brain for robots. |
0:14.0 | Robots, whether they are bipedal humanoids handling basic factory tasks |
0:19.0 | or four-legged military robot dogs intended for urban combat need brains. |
0:25.0 | Historically, these have been highly specialized and purpose built. |
0:29.0 | But a Pittsburgh-based robotics startup claims it's created a single off-the-shelf intelligence This I founded in May 2023 by Abhienov Gupta and Deepak Pathak, two former |
0:46.1 | Carnegie Mellon University professors, has created a foundational model for what |
0:50.6 | it describes as a quote general purpose brain that can be slotted into a variety of robots |
0:55.8 | enabling them to do things like climbing steep slopes walking over objects |
1:00.5 | obstructing its path and identifying and picking up items. |
1:04.0 | The company announced on Tuesday that it has raised 300 million dollars at a 1.5 |
1:09.8 | billion dollar valuation in a Series A funding round led by LightSpeed Ventures, |
1:15.0 | Soft Bank, Kothu, and Amazon founder Jeff Bezos, |
1:19.0 | with participation from CRV, Felisis Ventures, Menlo Ventures, Amazon, and General Catalyst, among others. |
1:27.2 | Ravi Raj Jain, the Light Speed Partner, who also led the company's Seed Round in July |
1:32.0 | 2023, told Forbes he was wildly impressed with skilled |
1:35.5 | AI's models when he first saw them being pressure tested last April. |
1:40.1 | Robots using them were able to perform tasks and environments that they'd never seen before and hadn't been designed for demos. |
1:47.0 | He said, quote, |
1:48.0 | The robots at that time were able to climb stairs, and I think it's really crazy how well they were able to do it because it's a very complex stability problem |
1:57.8 | And still more impressive the robots using skilled AI models also demonstrated, quote, |
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