Articles tagged "On-device AI"

AFM Core Advanced, the flagship of Apple's third-generation Foundation Models announced at WWDC 2026, packs a 20B-parameter Sparse MoE with Apple's proprietary IFP technology — enabling frontier-class on-device inference on iPhone 17 Pro. This deep dive covers architectural innovations, A19 Pro specs, device requirements, and the 'fully Apple designed' controversy around Gemini distillation.

On-device deep dive on Liquid AI's two Japanese-specialized models released on Hugging Face in early June 2026: **`LFM2.5-1.2B-JP-202606`** (language, 1.17B params, 32K context) and **`LFM2.5-Audio-1.5B-JP`** (1.2B language core + 115M FastConformer encoder, 24kHz, Speech-to-Speech). Grounded in the official model cards and Liquid AI blog. Covers the **Liquid Neural Network-derived architecture** (16 layers = 10 LIV convolution + 6 GQA), the sub-2B-class leadership benchmarks (JMMLU 54.19 / J-MIFEval 79.08 / J-GSM8K 62.20), audio ASR with CommonVoice 8 (ja) CER 4.42 — about half of Whisper-large-v3 — but **trailing Whisper on JSUT and ReazonSpeech (domain-dependent gap)**, the non-Apache **LFM Open License v1.0**, hardware support across Apple Silicon / AMD Ryzen AI / Qualcomm / NVIDIA / mobile CPU, competitive positioning vs Gemma 4 12B / Qwen 3.5 / TinySwallow / Sarashina, and adoption guidance for Japanese on-device AI, call centers, meeting notes, and in-person retail.

A primary-source read on the trend of on-device AI agents driving iOS simulators, anchored on **Argent** — Software Mansion's MCP-based iOS / Android simulator toolkit released May 8, 2026 — paired with Google's **Gemma 4 E4B** edge multimodal model. Covers Argent's actual spec (screenshot-first feedback + accessibility + profiling, MCP server implementation), Gemma 4 E4B's requirements (~2.5 GB model memory, 8 GB+ RAM, native function calling), the fact that Software Mansion's officially published Argent demo actually uses **Gemini 3.5 Flash (cloud)**, the separate on-device Gemma 4 E2B demo on an iPhone 17 Pro, and what this actually means for Japanese mobile QA and internal-app automation.