46 related articles

Deep dive into how Transformer² uses a unified Transformer architecture to integrate robot morphology design and motion control into one model, enabling task-driven end-to-end co-design for embodied AI.
Hardware-Software Co-Design: A Guide t…
Explore AI Model Co-Design principles and how hardware-friendly LLM architecture design — covering MoE, GQA, and FP8 quantization — optimizes the accuracy, throughput, and latency trade-off.
AI Co-Design in Practice: How One Week…
A developer redesigned their entire website in one weekend through AI co-design. Explore how AI is evolving from a code tool into a true creative partner — and what it means for indie developers.

SiliconLLM builds a CPU-native LLM architecture from scratch, combining selective SSM, ternary (1.58-bit) LUT MLP, and granular MoE, co-designed around the L3 cache bandwidth cliff. Ternary kernels show 4-5x speedup over fp32.

DeepMind releases SL2T sign language to text model using multimodal recognition of hand, facial, and body movements to convert sign language to text in real time, with edge-cloud architecture for privacy.

Google engineer Reiner Pope transitioned from Web development to chip architecture. This article analyzes his bottom-up design philosophy, first-principles learning approach, and implications for cross-domain talent in AI.

NVFP4 dynamic quantization covers all five Gemma-4 model sizes using W4A4 mixed-precision with calibrated FP8 KV Cache, dramatically reducing VRAM usage and deployment costs for efficient inference from edge to cloud.

Deep dive into Baileys, a WebSocket-based WhatsApp Web API requiring no browser. Supports multi-device, chatbots, and group automation with low resource usage.

Deep dive into running OpenAI GPT-5.6 inside Claude Code: comparing Codex vs Claude Code on subagent orchestration, workflow design, and system prompt quality, revealing how harness engineering determines model output.
Human-Centered AI: Real-World Implemen…
An MSR workshop reveals the truth about AI deployment: from a $20 corneal diagnostic device to expert-in-the-loop chatbots, researchers share real-world experiences of AI in healthcare and design within resource-scarce environments.

Google's Gemma 4 E2B for TPU runs offline on Pixel 10's Tensor G5 chip, enabling local AI chat, image recognition, and audio transcription. We break down the features and real-world test results.

An indie dev attempts to train a CPU-native LLM on $0 budget using ternary quantization, sparsity, and fine-grained MoE — with pre-registered success criteria and full public reporting.

This article synthesizes two MSR India Summit talks, exploring two key paths to better AI reasoning: test-time scaling with variable granularity search, and a formal verification framework for trustworthy agent execution.

OpenAI's GPT-5.6 launches with Sawa, Terra, and Luna sub-models the same day as Musk's Grok 4.5, while Anthropic, Meta, and NVIDIA make their moves. A packed week of flagship AI launches.

A comprehensive analysis of GPT-5.6: the Sol/Terra/Luna product-line positioning, MoE architecture, 1.5M token context, coding agent benchmarks, and the shift from Chatbot to Agent.

Deep analysis of Google's AI full-stack strategy: from custom TPU chips and system software frameworks to Gemini models and applications, examining how vertical integration delivers performance, cost, and autonomy advantages.

DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.

OpenAI GPT-5.6 expands its preview, xAI Grok 4.5 opens access at the same time, Meta releases the Agent-based Muse Image model and Muse Video model, while Apple and DeepSeek launch in-house AI inference chip programs. A quick look at the week's five biggest AI stories.

Grok 4.5 launches at just $0.49 per task, 90% cheaper than rivals. Anthropic's Claude Code claims 50% of the AI coding market. SambaNova raises $1B. Read the latest AI market shifts.

yaml-cpp is the most popular YAML parsing and emitting library for C++, supporting YAML 1.2 with a clean Node API and custom type conversion. Used by ROS and more.