Technology

Apple wants AI to run directly on its hardware instead of in the cloud

Apple’s Latest Research Paves the Way for AI Competition on Smartphones

In a bid to compete with rivals in the field of artificial intelligence (AI), Apple has recently released research on running large language models (LLMs) on smartphones. The research paper, titled “LLM in a Flash,” addresses the computational bottleneck faced by LLMs on devices with limited memory.

This development could potentially revolutionize the effectiveness of LLMs on smartphones, enabling them to provide more powerful and accurate responses to users’ queries. Apple has been actively working on improving AI capabilities, publishing two papers on generative AI this month alone. The company has also focused on enabling image-generating models to function on its custom chips.

The smartphone market has experienced declining sales in recent years, prompting smartphone manufacturers and chipmakers to explore AI features as a means to revitalize the industry. While Apple has been seen as lagging behind its competitors in AI, it has now shifted its focus towards AI that can run directly on iPhones. Competitors such as Samsung are also gearing up to release AI-focused smartphones next year.

Qualcomm’s CEO has predicted that AI integration on smartphones will not only create new user experiences but also reverse the declining sales trend. Google, on the other hand, recently unveiled its Gemini LLM, which can natively run on Pixel smartphones.

One of the primary challenges in running large AI models on personal devices is the limited computing resources available. However, solving this problem could lead to faster and offline AI assistants. Optimizing LLMs for battery-powered devices has been a major focus for AI researchers.

See also  Meta introduces AI assistant and Facebook-streaming glasses

Apple’s research has shed light on the company’s secretive research labs and technical breakthroughs. Moreover, it has the potential to enhance user privacy as queries can be answered directly on the individual’s device without the need to send data to the cloud.

Overall, Apple’s latest research sets a precedent for future advancements in the field of LLMs, unlocking their full potential across various devices and applications. As smartphone manufacturers strive to incorporate AI into their products, Apple’s efforts in this area could give the company a strong competitive edge.

Thelma Binder

"Explorer. Devoted travel specialist. Web expert. Organizer. Social media geek. Coffee enthusiast. Extreme troublemaker. Food trailblazer. Total bacon buff."

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