Thu. 01/16 - Apple Acquires Xnor.ai
Tech Brew Ride Home
Amalgamated Internets, LLC
4.7 • 1K Ratings
🗓️ 16 January 2020
⏱️ 19 minutes
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| 0:00.0 | Welcome to the Tech Mem Ride Home for Thursday, January 16th, 2020. I'm Brian McCullough today. |
| 0:10.0 | Apple has acquired a pretty interesting AI startup. The chromium-based edge browser is here, but there's trouble in Mozilla land. |
| 0:17.4 | Fitbit is the first to market with blood oxygen monitoring, the state of the app economy, and instant weather forecasts from Google. |
| 0:25.7 | Here's what you missed today in the world of tech. |
| 0:32.4 | Various places are reporting that Apple has acquired the Seattle-based startup |
| 0:36.0 | Exnor AI, which develops low-powered edge-based AI image recognition tools. |
| 0:43.2 | The rumored purchase price was $200 million, |
| 0:46.5 | quoting Venturebeat. |
| 0:47.8 | The arrangement suggests that X-NOR's AI enabled image recognition tools could |
| 0:52.1 | well become standard features in future |
| 0:53.9 | iPhones and webcams. Exnor AI's acquisition marks a big win for the |
| 0:58.4 | Allen Institute for Artificial Intelligence or AI2 created by the late Microsoft co-founder Paul |
| 1:04.5 | Allen to boost AI research. It was the second spin-out from AI2's startup |
| 1:10.3 | incubator following Kit. AI, which was acquired by the Chinese search engine powerhouse Baidu in 2017 for an |
| 1:18.3 | undisclosed sum, end quote. |
| 1:20.9 | But actually, let's come back to what Exnor AI actually does because it's interesting and I can certainly imagine what Apple might be able to do with this. |
| 1:30.0 | Basically, XNNor allows developers to use and drop AI-centric code and data libraries into their |
| 1:38.7 | apps. |
| 1:39.7 | You don't have to have any specific proficiency in AI to use their tools. The company motto is |
| 1:46.5 | AI everywhere for everyone. But the really exciting thing they do involves the edge. Their tools allow for machine learning and |
| 1:54.8 | image recognition that doesn't need to be supported by the cloud, that doesn't |
| 1:58.9 | need the computational power of a supercomputer behind it. |
... |
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