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Apple Expands AI Portfolio with Acquisition of Parisian Startup Datakalab

By purchasing Paris-based AI startup Datakalab, Apple has increased the scope of its AI venture.
It’s a component of Apple’s stated AI initiative.

Datakalab, a startup founded in 2016 by Xavier and Lucas Fischer, specializes in developing efficient artificial intelligence algorithms that consume minimal power and are ideal for mobile devices such as tablets and smartphones. Datakalab markets itself as a provider of “industry-leading compression and adaptation to implement integrated computer vision that is fast, cost-effective, and accurate.” Starting with the upcoming IOS 18, the move might be part of Apple’s larger strategy to equip its gadgets with cutting-edge AI capabilities.

Reference Resolution As Language Modelling (ReALM), a novel artificial intelligence (AI) system created by Apple researchers, has the potential to revolutionize the way voice assistants interpret and react to ambiguous references and contextual cues. Using sophisticated big language models, ReALM reduces the complex process of decoding screen-based visual cues to a more straight-forward language modeling challenge. The program is a component of a larger initiative to advance voice communication powered by AI, which may boost a number of business applications.

Dan Faggella, an AI researcher, said, “On one hand, many chatbots currently lead to customer dissatisfaction. However, if we can develop AI systems that quickly and effectively answer simple questions and enhance the customer experience, it could likely lead to increased customer loyalty and sales.”

Google and Apple are currently in conversations about integrating Google’s AI engine into the iPhone. According to the sources, Apple is seeking a license for Google’s Gemini AI models in order to enhance the capabilities of new iPhone software features that are scheduled for release later this year. Furthermore, Apple is thinking about integrating its AI model and has been investigating possibilities with OpenAI.

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