Keeping pace with the fast-moving AI industry can be challenging. However, until an AI can handle it for you, we have compiled a concise summary of the recent happenings in the world of machine learning. This roundup includes notable research and experiments that may have gone unnoticed.
Last week, Apple made a significant push into the ultra-competitive AI race at its WWDC event, showcasing the integral role AI plays in its forthcoming hardware and software. The company highlighted how AI powers various features in iOS 17, set to release later this year. One such feature is the ability to suggest recipes for similar dishes using computer vision based on iPhone photos. Another notable addition from Apple is Journal, an interactive diary that utilizes AI to deliver personalized suggestions by analyzing a user’s activities across different apps.
Additionally, iOS 17 will include an upgraded autocorrect feature enhanced by an AI model. This model can accurately predict the next words and phrases a user might use, gradually learning the user’s most frequently utilized words, including swear words.
Apple’s Vision Pro augmented reality headset also relies on AI, particularly in FaceTime. By leveraging machine learning, the Vision Pro can create virtual avatars of the wearer, replicating facial expressions with detailed accuracy.
Apple’s recent emphasis on AI signifies a comeback, demonstrating its determination to compete in the AI realm after past underwhelming machine learning projects. The company’s commitment to AI is essential, as it has experienced significant brain drain due to its historical underperformance in the field. Talented machine learning scientists, including a team that had worked on technologies similar to OpenAI’s ChatGPT, reportedly left Apple for more promising opportunities.
In other AI news, Meta released its own AI-powered music generator, MusicGen, rivaling Google’s offering. Meta also open-sourced its tool, enabling the transformation of text descriptions into short audio clips. Furthermore, regulators are addressing AI safety concerns, with the U.K. government planning a global AI safety summit and organizations like OpenAI and Google DeepMind committing to provide access to their AI models for research into evaluation and safety.
Salesforce launched AI Cloud, a suite of products aimed at bolstering its position in the competitive AI space. The suite includes tools designed to deliver enterprise-ready AI capabilities. Additionally, Cohere, a generative AI startup, secured $270 million in funding for its AI model ecosystem tailored for the enterprise market.
The article also covers advancements in text-to-video AI, an AI writing assistant for WordPress, the potential development of an AI chatbot for Instagram, and other noteworthy topics in the AI industry.
Beyond consumer applications, AI is making its mark in various sectors. A report based on workshops conducted by national labs discusses the potential impact of AI on science and research. Los Alamos researchers are advancing the field of memristors, a promising approach to computation. AI’s language analysis capabilities are being harnessed to identify patterns in police interactions, aiding in the prediction of escalation during stops.
In the healthcare domain, researchers at EPFL developed DeepBreath, a model trained on breathing recordings to aid in early identification of respiratory conditions. Purdue researchers created software that approximates hyperspectral imagery using a smartphone camera, potentially enabling health monitoring without specialized hardware. MIT’s research focuses on enabling AI to avoid obstacles while maintaining stability in autonomous flight, while Disney Research showcased a facial landmark detection network with applications in filmmaking and motion capture.
The AI landscape continues to evolve rapidly, with Apple’s recent emphasis serving as a testament to the growing importance of AI in technology. As advancements and innovations emerge, the impact of AI is being felt across industries, with promising developments in healthcare, aviation, and entertainment.
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