407 related articles
Presidential Pardons in 9 Clean Air Ac…
Presidential pardons for 9 Clean Air Act violations spark debate over vehicle modification rights, ECU tuning legality, defeat devices, and the Right to Repair movement.

Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.

Virgin Atlantic deploys ChatGPT Enterprise, using Codex to build custom dashboards, integrate multi-source data, and compress weeks of analysis into hours, accelerating product development and CX decisions.

ChatGPT adds document, spreadsheet, and slide processing capabilities, supporting information consolidation, data analysis, presentation generation, and in-file editing — directly competing with Microsoft Copilot and Google Workspace AI.

Some AI companies are mass-purchasing physical books for destructive scanning and pulping to obtain training data, even targeting rare antiquarian volumes. This article analyzes the technical motivations, legal gray areas, and cultural preservation controversies.

Some AI companies are mass-purchasing physical books for destructive scanning and pulping—even rare and antiquarian volumes—to obtain training data, sparking heated cultural preservation debates.

Google faces legal action over alleged illegal retention of customer data. Analysis of compliance boundaries, historical privacy penalties, individual advocacy challenges, and how users can protect their data rights.

When your AI system underperforms, the problem is often not the model or algorithm — it's basic work like data cleaning, prompt writing, and evaluation that hasn't been done right.

Discover how LiDAR laser technology penetrates deserts and jungles to reveal Sela's underground cistern system and Nan Madol's hidden structures, rewriting the history of lost civilizations.

SlopCodeBench sparks deep reflection on AI code evaluation. From benchmark contamination to pass-rate pitfalls, exploring why current benchmarks fail to measure real code quality.

AI research automation will look more like data cleaning than inventing the Transformer. Explore how automating 60%-80% of repetitive research work reshapes the AI research paradigm.

Why AI research automation looks more like data cleaning than inventing the Transformer. Exploring the value of automating 60%-80% of repetitive research work and how human-AI collaboration reshapes the research paradigm.

When AI systems underperform, the problem often isn't the model or algorithm — it's that basics like data cleaning, prompt writing, and evaluation aren't done right. Learn the simple fixes that matter most.

Depth perception for transparent and reflective objects has long been a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervisory signals, inferring glass depth from RGB context.

A professor embedded invisible prompts in assignments, catching 32 of 35 students using AI to cheat. Learn how this prompt injection trap works and what it means for education.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Poolside launches Laguna open-weight model after 18 months of silence, pitting 118B parameters against Kimi K3's 2.8 trillion. Can Silicon Valley's open-source push close the gap with Chinese AI?

Transparent and reflective object depth perception is a core challenge in robotic grasping. LingBot-Depth uses masked depth modeling to turn sensor failure into supervision, inferring glass depth from RGB context.

A professor embedded invisible prompts in assignments, catching 32 of 35 students using AI to cheat. Learn how this prompt injection trap works and what it means for education.

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?