Apple
Apple is the iPhone maker taking a privacy-first, on-device approach to AI with Apple Intelligence and a revamped Siri. Its A- and M-series silicon makes it a key platform for local AI models. Here is all our coverage of Apple's AI strategy.
Syntiant Files for IPO: Edge AI on Chips Grows from Labs to Stock Exchange
Low-power AI chip manufacturer for local inference (on device) filed S-1 for Nasdaq IPO. Edge AI becomes commodity.
ZML Releases Free Cross-Chip AI Tool
Paris startup ZML launched free tool for quick deployment of open models on Nvidia, AMD, Google, Apple and Intel chips.
Apple Captured 90% of Smartwatch Market with Edge AI, Growing 70% Year-over-Year
Analysts at Counterpoint Research showed Apple Watch's dominance in the smart watch segment with local AI in Q1 2026.
Yidao Information Projects 1792% Profit Growth Thanks to AIPC and AIOT
Graph neural network recognizes hand gestures in 48 ms: 99% accuracy for prosthetics and AR
Anthropic brings Claude Cowork to smartphones — tasks keep running without a laptop
Microsoft bets on in-house AI models to cut costs
Apple ML Research: One neuron bypasses safety alignment in LLMs from 1.7 to 70 billion parameters
Apple researchers showed that LLM safety protection can be completely bypassed by targeting a single neuron—without fine-tuning or prompt modification—across seven…
Apple Introduces FlowEval: Evaluating AI Interfaces Through Real Navigation Scenarios
Apple ML Research developed FlowEval — a framework for automatic evaluation of AI-generated interfaces based on comparing navigation trajectories with real websites.
Apple Developed MT-EditFlow for Multi-Step AI Image Editing
Apple Research: LensVLM Teaches VLM Models to Read Text in Heavily Compressed Images
Apple ML Research develops DynaMiCS for fine-tuning LLMs without losing base knowledge
xAI Added 21 New Voices to Grok Voice with Multi-Language Support
Apple ML Research Solves ASR Model Degradation on Long Audio Recordings
Apple ML Research published the Segmental Attention Decoding method — four architectural changes that solve the main problem neural networks face when processing…
Apple Published Fortress — A Framework for Stabilizing Recommendation Systems Through Feature Pruning
Apple ML Research described Fortress — a system that eliminates temporal instability in recommendation models by identifying and removing features that create…