Apple and Samsung Prepare for AI Integration in Upcoming Smartphones
Anticipation is building in the tech world as Apple plans to integrate generative artificial intelligence (AI) in their forthcoming iPhone 16, set to be unveiled this fall. This strategic move paves the way for a fierce rivalry with Samsung Electronics in the on-device AI domain, signaling intensified competition in the market.
Electronics industry sources recently revealed that not far behind Samsung, Apple is also expected to release their next-generation smartphones featuring on-device AI technology. The tech giant is likely to announce a detailed roadmap for their impending software update, iOS 18, centered on on-device AI at their annual Worldwide Developers Conference (WWDC24) in June.
Enhancements Expected with iOS 18
The core update to iOS 18 will be the inclusion of generative AI, enabling new AI capabilities to be processed directly on the devices. The update is purported to integrate these advanced AI features into a host of applications such as Siri, Spotlight, Shortcuts, Apple Music, Messages, Health, and Keynote. This development is expected to not only facilitate operations without relying on cloud servers but also bolster privacy protections.
Following Samsung’s January launch of the world’s first AI phone, the Galaxy S24 series, they plan to release a model featuring a Large Language Model (LLM) and generative AI capabilities for their voice assistant Bixby by July. This technological leap will empower Bixby to comprehend complex voice commands and interact with users more seamlessly, offering a more natural and engaging conversational experience.
Smart Home Evolution and Market Outlook
Han Jong-hee, Vice Chairman and Head of the Device Experience (DX) Division at Samsung Electronics, hinted at the future of smart home technology during ‘Milan Design Week’, suggesting that appliances will evolve to understand more natural language-based commands. The optimists in the industry foresee a rapid expansion of the on-device AI tech market, with Samsung and Apple expected to lead the fray.
Market research firm Counterpoint Research projects that by 2027, AI phone shipments will reach an astounding 550 million units, which would account for 43% of the total smartphone market. The share of generative AI phones is expected to hit 11% of the overall smartphone shipments this year, suggesting significant growth and consumer adoption in the near term.
Key Questions and Answers:
Q: What are the main challenges associated with integrating on-device AI technology?
A:
– Ensuring user privacy and data security, given the sensitivity of information that AI can access and process.
– Balancing the computational demands of AI processing on a smartphone’s hardware without compromising device performance and battery life.
– Managing the cost of additional specialized hardware to enable on-device AI.
– Developing AI algorithms that are efficient enough to operate effectively on devices with limited processing power compared to cloud servers.
Q: Are there any controversies related to on-device AI?
A:
While specific controversies aren’t mentioned in the article, on-device AI could potentially raise concerns about:
– Biases in AI algorithms that could lead to unfair or discriminatory outcomes.
– Misuse of AI capabilities by users or apps, which could lead to privacy invasions or other ethical breaches.
– The increased potential for “deepfakes” or AI-generated misinformation as capabilities become more advanced and accessible.
Advantages and Disadvantages:
Advantages:
– Enhanced privacy for users, as sensitive data does not need to be transmitted to cloud servers.
– Reduced latency in AI processing as the computation is done locally on the device.
– Availability of AI functions even without an internet connection, expanding the use cases for AI assistance.
Disadvantages:
– Potential limitations in AI capabilities compared to cloud-based solutions due to hardware constraints.
– Increased cost due to the need for more advanced hardware to support on-device AI.
– The risk of obsolescence as AI technologies rapidly advance, potentially requiring frequent hardware upgrades.
Relevant Facts (not mentioned in the article):
– Apple’s custom-designed chips, such as the A-series and M-series processors, have a dedicated Neural Engine designed to accelerate machine learning tasks.
– Samsung has been developing its own Exynos chips with built-in AI capabilities for use in their mobile devices.
– On-device AI relies heavily on advancements in Edge AI, where AI computations are performed on the edge of the network, near the source of data (i.e., on users’ devices), rather than on remote cloud servers.
For more information about the industry’s turn towards AI in mobile devices and what’s happening in the greater tech world, you can check out the following official sites:
Apple
Samsung
Counterpoint Research
The source of the article is from the blog trebujena.net