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Greetings everyone,

We wanted to take a moment and let everyone know about the [email protected] community on Lemmy.World which hasn't gained much traction. Additionally, we've noticed occasional complaints about Business-related news being posted in the Technology community. To address this, we want to encourage our community members to engage with the Business community.

While we'll still permit Technology-related business news here, unless it becomes overly repetitive, we kindly ask that you consider cross-posting such content to the Business community. This will help foster a more focused discussion environment in both communities.

We've interacted with the mod team of the Business community, and they seem like a dedicated and welcoming group, much like the rest of us here on Lemmy. If you're interested, we encourage you to check out their community and show them some support!

Let's continue to build a thriving and inclusive ecosystem across all our communities on Lemmy.World!

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Here’s Why I Decided To Buy ‘InfoWars’ By Bryce P. Tetraeder, Global Tetrahedron CEO ☞ https://theonion.com/heres-why-i-decided-to-buy-infowars/

And let me say, I really do see it as a family. Much like family members, our brands are abstract nodes of wealth, interchangeable assets for their patriarch to absorb and discard according to the opaque whims of the market. And just like family members, our brands regard one another with mutual suspicion and malice.

🤣

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submitted 2 hours ago* (last edited 2 hours ago) by [email protected] to c/[email protected]
 
 

On a typical day, our customers are operating the Spot® robot in factories, foundries, substations, sub basements, and beyond. Spot encounters all kinds of obstacles and environmental changes, but it still needs to safely complete its mission without getting stuck, falling, or breaking anything. While there are challenges and obstacles that we can anticipate and plan for—like stairs or forklifts—there are many more that are difficult to predict. To help tackle these edge cases, we used AI foundation models to give Spot a better semantic understanding of the world.

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Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods require supplementary data such as facial landmarks and masks to guide the synthesis process. In contrast, our approach uses diffusion models with only a reconstruction loss, eliminating the need for facial landmarks or masks while still producing images with intricate, fine-grained details. We validated our results on two public benchmarks through both quantitative and qualitative evaluations. Our model achieves state-of-the-art performance in three key areas: identity anonymization, facial attribute preservation, and image quality. Beyond its primary function of anonymization, our model can also perform face swapping tasks by incorporating an additional facial image as input, demonstrating its versatility and potential for diverse applications.

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Apple is facing a near-£3bn lawsuit over claims it breached competition law by effectively locking millions of UK consumers into its cloud storage service at “rip-off” prices.

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