Apple pulls the rug out...

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APPLE PULLS THE RUG OUT FROM UNDER AI UPDATES 😖

Apple pulling the rug out from under people is some “shaggy” business. 🙃

What’s up? Originally set to debut with the iOS 18 and iPadOS 18 releases in September, Apple Intelligence will no longer be included in these updates.

What now? Instead of being released with the new iPhone 16 and iPad, Apple Intelligence will now roll out as part of secondary software updates sometime in October. The Apple Intelligence features will be available to software developers for early testing with the iOS 18.1 and iPadOS 18.1 betas. When fully released, Apple Intelligence will be compatible with the iPhone 15 Pro, iPhone 15 Pro Max, and devices with the M1 chip or later versions. Additionally, iPhone Mirroring on macOS Sequoia will enable users to view and interact with their iPhone screens on Mac computers. However, the highly-anticipated AI Siri features likely won’t be available until iOS 18.4, slated for next spring.

What’s the significance? This delay follows Apple’s postponement of three AI features in late June due to compliance with new European Union tech regulations. Over and over again, tech companies like OpenAI, Google, and Apple promise the world and continually fail to deliver well-functioning, publicly-available AI tools.

GOOGLE USES AI TO FIGHT TRAFFIC 🚦

Q: What did the traffic light say to the car?

A: Don’t look, I’m about to change! 🤪

What’s new? Google's Project Green Light is tackling traffic congestion and emissions by optimizing traffic lights using AI and data from Google Maps.

Why? This initiative aims to limit traffic hazards for drivers and reduce fuel consumption and greenhouse gas emissions caused by vehicles stopping and starting at intersections, a significant contributor to urban pollution.

How does it work? Project Green Light’s AI model analyzes traffic flow patterns at intersections, including stopping and starting frequency, average wait times, and coordination between adjacent intersections. By identifying potential improvements, such as shortening red light durations during off-peak hours or syncing traffic lights at uncoordinated intersections, the project offers recommendations to city engineers. These recommendations can then be seamlessly implemented within minutes, utilizing existing infrastructure.

Is it working? Project Green Light has been piloted in over a dozen cities worldwide, including Rio de Janeiro, Seattle, Bengaluru, and Boston. Currently operational at over 70 intersections, Green Light has already reduced fuel consumption and emissions for up to 30 million car rides per month. Early data suggests the potential for up to a 30% reduction in stops and a 10% reduction in emissions at intersections.

AI DETECTS BREAST CANCER YEARS IN ADVANCE 🙏

Can AI unlock a wave of breakthroughs in the medical field? If so, care will improve at a rate we have never seen before. 🙌

What’s up? Researchers from MIT and Jameel Clinic have further developed a deep learning AI model named “Mirai” that predicts breast cancer risk with high accuracy from mammograms.

How does it work? Trained on over 200,000 exams, Mirai has shown superior accuracy compared to traditional models, identifying nearly twice as many future cancer cases. Mirai maintains consistent performance across various clinical settings and patient demographics, including different races, age groups, and breast densities. The model accurately predicts cancer risk over multiple future time points and can incorporate additional clinical risk factors like age and family history.

What’s the significance? This innovation promises to refine screening guidelines, ensuring earlier detection and minimizing unnecessary procedures. This has the potential to improve patient outcomes and personalize care in breast cancer prevention and treatment.

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