Qualcomm’s AI Chip to Rival Apple and Intel
Plus: Microsoft outdoes Google in AI, Samsung goes all in on AI for Galaxy S24.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 132nd edition of The AI Edge newsletter. This edition brings you Qualcomm's new PC chip for AI that will challenge Apple and Intel
And a huge shoutout to our incredible readers. We appreciate you😊
In today’s edition:
💪 Qualcomm's new PC chip for AI to challenge Apple, Intel
🔝Microsoft is outdoing its biggest rival, Google, in AI
🚀 Samsung Galaxy S24 is your upcoming pocket AI machine
📚 Knowledge Nugget: AI How-To: Create an Original Logo in Under 10 Minutes by
Let’s go!
Qualcomm's new PC chip for AI to challenge Apple, Intel
Qualcomm has unveiled a new laptop processor designed to outperform rival products from Intel Corp. and Apple Inc. Snapdragon X features 12 high-performance cores capable of crunching data at 3.8 megahertz.
The chip is as much as twice as fast as a similar 12-core processor from Intel while using 68% less power. Qualcomm also claims it can operate at peak speeds 50% higher than Apple's M2 SoC
In addition to overall improved performance, the new processor boasts features explicitly designed for AI. The chipmaker contends that AI’s full potential will be realized when it extends beyond data centers and into end-user devices such as smartphones and PCs.
Why does this matter?
NVIDIA is the frontrunner in data center chips that accelerate AI computing, and its entrance into PC processors is expected to increase competition. AMD is also a long-standing competitor to Intel, working on a new CPU using ARM’s technology.
While this is the first to challenge Apple, Qualcomm will need to prove its ambitious claims to gain any traction in the AI chips and PC market.
Microsoft is outdoing its biggest rival, Google, in AI
From the two tech giants’ September-quarter results, growth at Microsoft’s Azure cloud unit (and the company generally) accelerated in the quarter due to higher-than-expected consumption of AI-related services.
In the same quarter, growth at Google Cloud slowed by nearly 6 percentage points. The most likely conclusion is that Google Cloud isn’t yet benefiting much from the rollout of various AI-powered services.
Why does this matter?
Microsoft’s outperformance shouldn’t be a huge surprise, given its partnership with OpenAI, which has powered a variety of Microsoft products, giving it an edge over Google.
But this is a problem for OpenAI too, as some customers are beginning to buy its software through Microsoft because they can bundle the purchase with other products. Microsoft keeps much of the OpenAI-related revenue it generates.
Samsung Galaxy S24 is your upcoming pocket AI machine
Samsung is going all in with AI on its next flagship. It wants to make the Galaxy S24, Galaxy S24+, and Galaxy S24 Ultra the smartest AI phones ever. The series will have features lifted straight from ChatGPT and Google Bard, such as the ability to create content and stories based on a few keywords provided by the user.
There will also be features Samsung has designed on its own, such as text-to-image Generative AI, and a lot of them will be available both online and offline. Speech-to-text functionality is one area that will see improvements.
Why does this matter?
It seems manufacturers are turning to AI to make smartphones more appealing. At the beginning of the month, Google announced its latest Pixel series, built with AI at the center. Now, Samsung is joining the action. While Samsung’s ambitions to one-up Google’s Pixel are lofty, precise details of its plans remain largely undisclosed.
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Knowledge Nugget: AI How-To: Create an Original Logo in Under 10 Minutes
By just having a conversation with ChatGPT, anyone can put together a usable logo in 10 minutes or less, along with DALL-E 3. Yes, it’s that easy with this how-to guide.
@ explains the step-by-step process in detail of using these models to generate logos from ideation to creation. The article also provides tips and keywords to refine the logo design and iterate as needed and emphasizes the importance of being specific about your requirements. It also shows how to convert the generated logo into an editable vector image for practical use.
Why does this matter?
This informative guide is also an example, though simple, of the real-world impact of AI in businesses as well as a creative context. It also highlights the ongoing evolution of AI capabilities and its potential to transform various aspects of creative work.
What Else Is Happening❗
🎥Google Photos will soon give you more say in its AI-created video highlights.
With the latest Google Photos update, you can prompt AI-generated videos by searching for specific tags like places, people, or activities. Once generated, you can trim clips, rearrange them, or swap out music for something better. (Link)
💼Lenovo and NVIDIA announce hybrid AI solutions to help enterprises quickly adopt GenAI.
The new end-to-end solutions include accelerated systems, AI software, and expert services to build and deploy domain-specific AI models with ease. (Link)
🔍Amazon's AI-powered van inspections give it a powerful new data feed.
Amazon delivery drivers at sites around the world will be asked to drive through camera-studded archways at the end of shifts. The data gathered will be used by algorithms to identify whether the vehicle is damaged or needs maintenance, picking up every scratch, dent, nail in a tire, or crack in the windshield. (Link)
🧩IBM acquires Manta Software Inc. to complement data and AI governance capabilities.
Manta’s data lineage capabilities help increase transparency within watsonx so businesses can determine whether the right data was used for their AI models and systems, where it originated, how it has evolved, and any discrepancies in data flows. (Link)
💥This new data poisoning tool lets artists fight back against GenAI.
The tool, called Nightshade, lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break. This “poisoning” of training data could damage future iterations of image-generating AI models, such as DALL-E, Midjourney, and Stable Diffusion. (Link)
That's all for now!
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