In the earlier part of this year, Samsung made a significant and justified fuss about the Galaxy AI during its debut. It goes without saying that Samsung was going to give its artificial intelligence a name; after all, it is the first well-recognized brand to integrate AI into smartphones, aside from Google.
A list of the features that will be available on earlier Samsung phones has been released by the company, which also disclosed that the AI functions will be available on older models, beginning with the Galaxy S23, following the Galaxy Unpacked event.
Galaxy S23 Users Rejoice as Majority of Galaxy AI Features Are Destined For Older Phones
An infographic released by Samsung UK lists every Galaxy AI function that is currently available on the Galaxy S24 series and will soon be coming to the Galaxy S23 line of smartphones, as per WCCFTECH. Nearly all the main features will be accessible on older smartphones, based on the image. For anyone who was unsure whether to upgrade to the new phone just for the AI features, this is fantastic news.
Samsung's Exynos 2400 Yields Improvements Over the Previous Generation, Though it is Still Lagging Behind TSMC's N4P Output
Compared to Samsung's previous smartphone chipsets, the Exynos 2400 offers notable power-efficiency benefits and is mass-produced on the company's enhanced 4LPP+ design. Unfortunately, if Samsung is unable to increase the yields on its most recent SoC—which, based on the most recent rumor, is lower than TSMC's—those benefits won't mean much. Even so, it is still a huge improvement over the products that Samsung's foundry was producing in the previous few years.
Exynos 2400 Yields Reportedly Lag Behind TSMC's N4P Output by 10 Percent
Revegnus reports that after a year and a half, Samsung's yields were a dismal 25%. Therefore, the company's ability to increase output to 60% for the Exynos 2400, especially for the launch of the Galaxy S24, demonstrates how well its foundry performed. Even still, Samsung is trailing behind TSMC, since the major Taiwanese semiconductor company is said to be achieving 70% yields for its N4P process; industry observers feel that TSMC has superior technology.
Samsung has vastly improved the Exynos 2400 to the point where it can invest in next-generation lithography, so even if its yields stay at sixty percent, there is room for improvement. The current chipset is Samsung's first to use Fan-out Wafer Level Packaging (FOWLP) technology, which increases efficiency and improves heat transfer. This could be the main difference and the reason the chipset maintains reasonable temperatures even under stress tests.
Samsung might use Google's Tensor G4 to produce chips with the same characteristics as the Exynos 2400 by using the same 4LPP+ manufacturing process; however, it's unclear if yields will be higher at that point. Samsung has demonstrated that it has the capacity to mass-build even better Exynos 2400 successors and compete with the competition, despite the company's chipset performing slightly worse than the Snapdragon 8 Gen 3 in numerous tests. Additionally, this performance difference has narrowed.
Exynos 2500 is most likely going to be Samsung's next flagship processor, according to WCCFTECH. It appears that the 3nm GAA technique developed by the Korean foundry will be utilized to outperform any technological innovations introduced by TSMC. Naturally, a lot can change by the time 2024 rolls around, so we'll keep you informed.
Photo: Kawal Dhillon/Unsplash


Amazon's "Transformer" Phone: Can It Succeed Where Fire Phone Failed?
Judge Dismisses Sam Altman Sexual Abuse Lawsuit, But Sister Can Refile
Golden Dome Missile Defense: Anduril and Palantir Join Forces on Trump's $185B Space Shield
Palantir's Maven AI Earns Pentagon "Program of Record" Status, Reshaping Military AI Strategy
OpenAI Pulls the Plug on Sora, Ending $1 Billion Disney Partnership
Elon Musk Confirms SpaceX, xAI, and Tesla Will Continue Large-Scale Nvidia Chip Orders
Microsoft Eyes Legal Action as Amazon-OpenAI Deal Threatens Azure Exclusivity
Samsung Bets Big on AI-Driven Chip Demand in 2025
Elliott Investment Management Takes Multibillion-Dollar Stake in Synopsys
Jeff Bezos Eyes $100 Billion Fund to Transform Manufacturing With AI
Trump White House Unveils National AI Policy Framework for Congress
Amazon's AWS Could Hit $600 Billion in Revenue as AI Reshapes Cloud Growth
SK Hynix Eyes Up to $14 Billion U.S. IPO to Fund AI Chip Expansion
Alibaba Bets on AI Agents to Unify Its Vast Digital Ecosystem
Super Micro Computer Shares Plunge After Co-Founder Charged in AI Chip Smuggling Case
NVIDIA Resumes China AI Chip Production Amid $1 Trillion Revenue Forecast 



