Panel For Example Panel For Example Panel For Example

Apple Advances Smart Glasses Chip

July 14, 2025

Apple is developing specialized chips for its upcoming smart glasses and AI servers, according to sources familiar with the project.

Smart Glasses Processor Development

Apple has made progress in creating a dedicated processor for its smart glasses, signaling accelerated development to compete with Meta Platforms' popular Ray-Ban smart glasses. The processor is based on the low-power architecture of Apple Watch chips, consuming less energy than components in iPhones, iPads, and Macs. Customized modifications, including the removal of certain components, further enhance energy efficiency.

The chip includes a multi-camera control system tailored for the imaging module in the glasses. Apple plans to begin mass production of this processor by late 2026 or 2027, suggesting that the smart glasses could launch within the next two years if development proceeds smoothly.

AI Server Chip Initiative

Apple is also investing in AI server chips under the codename Baltra, with completion expected by 2027. These chips will handle remote processing for Apple Intelligence requests and transmit data to user devices. Currently, Apple uses chips equivalent to those in high-end Macs for these tasks.

The company is exploring chip variants with computing and graphics cores that are two, four, or even eight times more powerful than the current M3 Ultra chip. These advancements aim to significantly boost the speed and capabilities of Apple¡¯s AI services, helping the company keep pace with competitors in the AI market.

Apple¡¯s Existing Chip Portfolio

Apple has developed several chip types for its ecosystem:

  • A-series chips: Power iPhones and iPads with robust CPU, GPU, and neural engines, supporting AI, machine learning, photography, gaming, and augmented reality tasks.
  • M-series chips: Designed for Macs, featuring multi-core CPUs and GPUs with a unified memory architecture, ideal for professional video editing and 3D rendering.
  • S-series chips: Low-power co-processors for Apple Watch, handling motion data and health monitoring with excellent battery life.
  • R-series chips: Used in HomePod and HomePod mini, optimized for audio processing and local Siri computations, delivering high-quality sound and smart features.
  • T-series chips: Security co-processors for Macs, managing Touch ID, encrypted storage, and secure boot processes to ensure robust device security.
Recommended Reading
How Smartwatches Monitor Sleep

How Smartwatches Monitor Sleep

October 31, 2025

Overview of how wearables use actigraphy and cardiopulmonary coupling (CPC) to infer sleep stages, assess deep sleep accuracy, and enable at-home physiological sleep monitoring.

Article
Smartwatch and Patch Using a Piezoelectric Blood Pressure Sensor

Smartwatch and Patch Using a Piezoelectric Blood Pressure Sensor

October 31, 2025

KAIST-developed wearable piezoelectric blood pressure sensor validated in clinical trials, meeting accuracy standards and integrated into smartwatch and patch prototypes.

Article
Wearable Sensor for Detecting and Monitoring Muscle Atrophy

Wearable Sensor for Detecting and Monitoring Muscle Atrophy

October 31, 2025

Ohio State researchers developed a wearable sensor to detect and monitor muscle atrophy using conductive e-threads and coil-based sensing for volumetric limb tracking.

Article
Wearable Bistable Triboelectric Generator for Low-Frequency Harvesting

Wearable Bistable Triboelectric Generator for Low-Frequency Harvesting

October 31, 2025

Wearable bistable triboelectric nanogenerator using a flexible negative-stiffness mechanism to harvest low-frequency torsional energy from human motion and power low-power sensors.

Article
Skin-Integrated PPG-ECG Multimodal Sensing Patch Design

Skin-Integrated PPG-ECG Multimodal Sensing Patch Design

October 02, 2025

Skin-integrated PPG-ECG patch using ultraflexible organic photodetectors and hydrogel electrodes to monitor HR, RR, cuffless BP and SpO2 with high NIR responsivity.

Article
Multimodal Wearable Sensor Patch for Continuous Plant Monitoring

Multimodal Wearable Sensor Patch for Continuous Plant Monitoring

October 02, 2025

Multimodal wearable sensor patch for continuous plant physiology monitoring detects leaf VOCs, temperature and humidity; PCA-based ML enables earlier disease and stress detection.

Article