The 7-year-old Nvidia Shield TV is now $100 more expensive due to AI
Initially launched in 2019, the Nvidia Shield TV Pro now retails for $299.99.
#On-device
#On-device
0 todayOct 2
NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI
Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally.
Oct 1
Hearing tech startup Legato launches its AI hearing glasses
The glasses stem from the startup’s goal of making hearing care more accessible by addressing the cost, comfort, and stigma associated with traditional hearing aids.
Sep 30
Photo Scrubber — local face blur & metadata removal
Tool: Photo Scrubber — local face blur & metadata removal I took a photograph of some protesters, then thought about how I don't like sharing photographs of strangers with identifiable faces. I had GPT-6 Astra build this experimental tool that would identify faces and automatically blur them out.
Sep 26
Microsoft stops insisting you need a "Copilot+ PC"
Microsoft's new Surface laptops forgo Copilot+ PC branding.
Sep 22
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
oMLX creator and maintainer Jun Kim joined Hugging Face full-time to support MLX. oMLX moves from a side project to a funded long-term effort, remaining Apache 2.0 open-source under Jun's leadership to improve stability and accelerate development.
Transformers now runs llama.cpp quants
Hugging Face added GGUF support to transformers. Users can choose a quantised checkpoint from the Hub and pass gguf_file to from_pretrained for local generation without additional configuration.
Aug 17
Seeing beyond BMI: Estimating cardiometabolic risk with smartphone imagery
Google Research proposed PhotoScan, a deep learning framework that estimates body fat percentage, A/G ratio and V/S ratio from ordinary 2D phone photos to predict insulin resistance.
Aug 12
Putting sign language AI into users’ hands
Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.
Jul 29
From CUDA to MLX: How K-Search Brings Decades of Kernel Expertise to Apple Silicon
Figure 1: CUDA-to-MLX optimization translation map. CUDA optimization knowledge can be translated into architecture-native MLX strategies rather than copied instruction-for-instruction. We face a new epoch in computing. Hardware is changing rapidly — not just faster GPUs, but a growing range of chips from different vendors, each with its own architecture and often tailored to specific AI workloads.
Jun 27
Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction
Google Research published an architecture attaching multi-token prediction (MTP) heads to frozen Gemini Nano v3 models, accelerating on-device inference without changing backbone weights. It has shipped with the Pixel 9 and 10 series.
Jun 9
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
Google DeepMind released Gemma 4 12B, a multimodal model for local laptop use between the edge-focused E4B and 26B MoE. Its unified encoder-free architecture feeds visual and audio inputs directly into the LLM backbone.
Jun 5
Towards passive heart health monitoring via smartphone camera
Google Research published a study in Nature introducing PHRM, which records video with a phone’s front camera in the seconds after face unlock and uses deep learning to estimate heart rate and resting heart rate in the background.
May 28
Private analytics via zero-trust aggregation
Google combined a new single-message encrypted aggregation protocol with TEEs, letting devices submit without multiple online rounds. Google receives only anonymised group insights; raw data is neither exposed nor reconstructed even within hardware protection. TEE attestation proves execution follows public code.
Apr 3
Gemma 4: Byte for byte, the most capable open models
Gemma 4: Our most intelligent open models to date, purpose-built for advanced reasoning and agentic workflows.
Dec 3
Introducing Mistral 3
Mistral released the Mistral 3 family, comprising 14B, 8B and 3B small dense models and its strongest yet Mistral Large 3, a sparse MoE with 41B active and 675B total parameters. All are open-source under Apache 2.0.
Jan 30
Mistral Small 3
Today we’re introducing Mistral Small 3, a latency-optimized 24B-parameter model released under the Apache 2.0 license.