Apple Expands Its On-Device Nudity Detection to Combat CSAM
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.
AI clones made from user data pose uncanny risks
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?
How to create generative AI confidence for enterprise success
With transparency and an anti-hallucination framework companies will start to get the benefits of generative AI without the drawbacks.Read More
The secret to making AI effective for your unique business challenges
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
Nintendo Switch Tips (2023): 21 Surprising Things It Can Do (OLED, Lite, Standard)
Did you just get one of Nintendo’s three Switch consoles? Here are some of their best (and most secret) abilities!
Stable Diffusion Cheat Sheet – Big Update!
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 for Insurance: How Insurers Are Using It
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 …
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Robustness in Multimodal Learning under Train-Test Modality Mismatch
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 …
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Accelerating AI & Innovation: the future of banking depends on core modernization
In the rapidly evolving landscape of financial services, embracing AI and digital innovation at scale has become imperative for banks to stay competitive. With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. As …
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AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR
Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered around noisy audio inputs, the visual stream in multimodal videos …
Read more “AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR”