The best AI features Apple announced at WWDC 2023
Apple announced a host of new software features for its popular devices and the new Apple Vision Pro headset, many of them leveraging AI.Read More
Apple announced a host of new software features for its popular devices and the new Apple Vision Pro headset, many of them leveraging AI.Read More
Researchers have trained a robotic ‘chef’ to watch and learn from cooking videos, and recreate the dish itself.
Instead of scanning iCloud for illegal content, Apple’s tech will locally flag inappropriate images for kids. And adults are getting an opt-in nudes filter too.
Imagine, if you will, a digital doppelgänger. A clone that looks, talks and behaves just like you, created from the depths of artificial intelligence, reflecting your every mannerism with eerie precision. As thrilling as it might sound, how would you feel about it?
With transparency and an anti-hallucination framework companies will start to get the benefits of generative AI without the drawbacks.Read More
Fear of AI is largely due to misrepresentation and misunderstanding. AI has been around for years, and businesses already use and trust it.Read More
Did you just get one of Nintendo’s three Switch consoles? Here are some of their best (and most secret) abilities!
You may recall the post about my style collection four weeks ago. I’ve been quite busy! There are now more than 700 styles to browse (231 new, with some very great stuff!). I optimized the metadata viewer and included some additional samples of art styles. Overview – New Styles Example – Metadata Viewer You can …
Generative AI burst into the mainstream in late 2022. Almost every market is now exploring how this technology will be applied in their sector—including property and casualty insurance. Though mainstream attention has largely focused on the text- and image-generating capabilities of Generative AI, this evolving technology can also improve business processes. To be successful, insurance …
Read more “Generative AI for Insurance: How Insurers Are Using It”
Multimodal learning is defined as learning over multiple heterogeneous input modalities such as video, audio, and text. In this work, we are concerned with understanding how models behave as the type of modalities differ between training and deployment, a situation that naturally arises in many applications of multimodal learning to hardware platforms. We present a …
Read more “Robustness in Multimodal Learning under Train-Test Modality Mismatch”