NVIDIA: Driving the future of AI, made in America

NVIDIA is manufacturing AI supercomputers in the U.S. for the first time, partnering with major companies and establishing facilities in Arizona and Texas while OpenAI's GPT-4.1 introduces models with enhanced coding, instruction-following, and long-context comprehension capabilities…

All this and more in today’s newsletter

News Bytes

• NVIDIA has announced plans to manufacture AI supercomputers entirely in the United States for the first time. Partnering with companies like TSMC, Foxconn, and Wistron, NVIDIA is establishing manufacturing facilities in Arizona and Texas. These facilities will produce NVIDIA Blackwell chips and AI supercomputers, aiming to meet the growing demand for AI infrastructure.

• OpenAI's GPT-4.1 introduces major advancements in coding, instruction following, and long-context comprehension. It features models like GPT-4.1 mini and nano, which offer improved performance, lower latency, and cost efficiency. With a refreshed knowledge cutoff of June 2024, GPT-4.1 excels in real-world applications, such as software engineering and extracting insights from large documents.

• Google's DolphinGemma project is an innovative AI initiative aimed at decoding dolphin communication. Collaborating with Georgia Tech and the Wild Dolphin Project, Google has developed a foundational AI model to analyze dolphin vocalizations, such as clicks and whistles, and generate dolphin-like sound sequences. This research seeks to uncover patterns and rules in dolphin communication, potentially bridging the gap for interspecies understanding and advancing marine science.

• Meta is enhancing its AI models to better serve European users by training them on public content shared by adults in the EU, as well as interactions with Meta AI. This initiative aims to reflect Europe's diverse cultures, languages, and histories in AI capabilities. Users can opt out of having their public data used for training, and private messages or data from minors are excluded.

• Apple's research on differential privacy in aggregate trends emphasizes their dedication to user privacy while enhancing features powered by Apple Intelligence. By employing differentially private methods, Apple ensures individual user data remains anonymous and untraceable. These insights help refine their models and improve user experiences, all while maintaining strict privacy protections.

Health AI Bytes

• Glowai : Generate your next skincare routine in seconds.

• Quibim : Transforming imaging data into actionable predictions.

• NewLantern : Keep your eyes on the images. Let AI do the rest.

• Docus : Your Personal Health Assistant Powered by AI

• Xrayinterpreter : Make quick radiology decisions at home, without waiting for the doctor in the hospital.

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