🍎 Apple's AI Hiring Spree Begins!

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Hey TEDchats Fam!

Happy Wednesday! Remember the first time Siri spoke back? It was almost magical. Fast forward today, AI is no longer just about answering your quirky questions but reshaping how we experience tech. Dive in to discover the world where your devices don't just listen, they understand.

👀 SNEAK PEEK

🚨FEATURE STORY

Apple's Billion-Dollar Bet on Generative AI

What if your Apple device could converse with you in a more human-like manner or suggest AI-generated playlists based on your mood? That future might be closer than you think, as Apple amplifies its investments in generative AI.

Playing Catch-Up

Earlier this year, Apple announced an AI-powered autocorrect feature on iOS 17. While it was a start, the tech giant seemed to lag behind its competitors. But as recent job listings suggest, Apple is gearing up to revolutionize its product suite with robust AI support (read more).

Apple’s AI Hiring Spree Has Begun…

While Apple's rivals, including Microsoft, Google, and Meta, are already embedding AI-powered features into their offerings, Apple appeared to be on the back foot. The concern was not whether Apple was working on AI but if they were doing enough and fast enough to meet user expectations and compete in the market.

In a dramatic shift, Apple has recently released a large number of job listings, which revealed specific requirements that hint at a more aggressive approach towards AI integration. With positions that demand expertise in creating "human-like conversation agents" and "machine intelligence", it's evident that Apple is not just catching up but aiming to lead (see example).

Is Apple Planning for AI Dominance?

According to a Bloomberg report, Apple plans to invest $1 billion annually to thrust generative AI into the spotlight. They're not only looking to enhance Siri but are also exploring AI-powered tools for developers, AI-assisted writing for its office suite, and AI upgrades to Apple Music. Several of these AI initiatives can be tracked on their dedicated Machine Learning Research webpage (read more).

The world might soon witness an Apple that's deeply intertwined with AI, leading to more intuitive devices and user experiences. From AI-generated music playlists to more intelligent virtual assistants, the boundaries of what our Apple devices can do are expanding. This development, while promising, also raises questions: How will the other tech giants respond? And how will this shape the future of personal tech?

🍕 QUICK BITES

YouTube’s AI-Powered Playlist Covers

YouTube Music introduces a “new experimental feature” enabling users to generate playlist art using AI. Users can select from themes such as travel, nature, or animals and further customize by choosing specific artistic styles. The update is currently available for English-speaking users in the U.S. with plans for wider rollouts in the future (read more).

Next-Gen Snapdragon Details Leaked

Qualcomm's upcoming Snapdragon 8 Gen 3 boasts enhanced AI capabilities, including AI camera tools and support for advanced AI models. The chip promises a 30% faster central processing unit (CPU) and a 25% faster graphics processing unit (GPU). Expected first in Samsung’s Galaxy S24 in 2024, this chip will be a game-changer for Android devices and more (read more).

AI Data Workers Want Protection

As the Senate prepares for its AI Insight Forum, data workers have raised concerns they would like addressed. In a letter to Senate Majority Leader Chuck Schumer, they've requested protections against surveillance and low wages, underlining the critical role they play in AI development. They also urge policies that prevent tech companies, such as Amazon, from exploiting data workers (read more).

🧰 AI TOOLBOX 

🤯 MIND SPARK

Can Robots Be Designed by AI? Researchers at Northwestern University have achieved just that! Researchers provided the new AI system with the simple prompt of designing a robot that can walk across a flat surface, and the AI delivered (read more).

AI Improves Facial Recognition Software: Deep learning-based face detection frameworks have aided in overcoming difficulties in detecting small, blurred, and partially occluded faces, and the research continues (read more).

🎨 AI ART

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