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Tech

Unveiling the inner workings of the Apple Vision Pro headset

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The renowned repair website iFixit has provided tech enthusiasts with an in-depth teardown of the Apple Vision Pro mixed reality headset.

iFixit’s meticulous disassembly of the Vision Pro has revealed a complex array of internal components, including a multitude of cameras, sensors, fans, and lens motors.

Unsurprisingly, the teardown suggests that opening and repairing the headset may prove to be a challenging task.

Commenting on their findings, iFixit noted, “The EyeSight system appears to be a potential Achilles’ heel in terms of repairability due to its numerous points of failure for a somewhat eerie feature.

Significant wins

However, we must acknowledge Apple’s efforts, as the easily replaceable speakers and battery represent significant wins for repairability.”

The Vision Pro is powered by Apple’s cutting-edge M2 chip, boasting an 8-core CPU, a 10-core GPU, a formidable 16-core Neural Engine, and a generous 16GB of unified memory.

Other notable specifications include storage options of up to 1TB and the introduction of the innovative R1 chip.

The R1 chip efficiently processes data from an extensive array of sensors, including 12 cameras, five sensors, and six microphones, ensuring that the headset delivers an immersive mixed reality experience.

Internal design

Wallpaper* magazine had previously provided an exclusive glimpse into the Vision Pro’s internal design, featuring an image showcasing the intricacies of the device.

In an interview with Wallpaper*, Apple’s Vice President of Software Design, Alan Dye, and Vice President of Hardware Design, Richard Howarth, offered insights into the headset’s development.

Richard Howarth explained that Apple had meticulously designed the Vision Pro with an emphasis on comfort and aesthetics, incorporating “flexible materials and soft textures” like the Solo Knit Band.

This design philosophy aimed to ensure that users not only experience physical comfort while wearing the headset but also feel at ease wearing it in social settings.

Ahron Young is an award winning journalist who has covered major news events around the world. Ahron is the Managing Editor and Founder of TICKER NEWS.

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Leaders

AI and data sovereignty set to lead business innovations in 2025

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As businesses embrace cutting-edge tech, challenges like data sovereignty and AI are taking centre stage.

 

Over the past six months, the AI industry has seen significant advancements, with competing models such as Meta’s Luma and Google’s Gemini entering the market.

However, these developments come with a reality check. Building large language models (LLMs) requires substantial computing power and time, making immediate returns on investment unlikely.

One promising innovation is agentic AI, a step beyond generative AI, which enables proactive, automated solutions.

For instance, this technology could stabilise IT systems autonomously, diagnosing and resolving issues without human intervention.

Data sovereignty has also emerged as a key focus, with increasing emphasis on keeping data within national borders to comply with local laws. This has driven the adoption of sovereign clouds and private data centres, ensuring secure and localised data processing for AI development.

Deepak Ajmani, Vice President of ANZ & APAC Emerging Markets at Confluent, joins to discuss the evolving business landscape.

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Shows

Copilot redefines the modern workday

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Unlocking efficiency and customer success with AI-powered tools

The Tech Edge is a captivating business IT talk show delving into the latest industry trends and their significance in today’s landscape.

In this episode, Mike delves into the transformative power of Microsoft 365 Co-Pilot with Laura Morales, Customer Success Manager at AvePoint.

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Shows

Organisations overcome challenges in AI implementation

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Key lessons and tips for seamless Copilot adoption

In this episode, Kate Faarland, the Senior Vice President of Data and AI Programs at AvePoint, discusses the importance of AvePoint’s data and AI program, internal challenges with implementing CoPilot, and the organisation’s learnings from rolling out CoPilot for their workforce.

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